Text-to-Image
Diffusion Single File
MiniMax H3
Pruna AI
English
comfyui
image-to-image
image-generation
image-editing
prompt-upsampling
lora
int8
4-bit precision
Instructions to use PrunaAI/P-H3-Image-Comfy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use PrunaAI/P-H3-Image-Comfy with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Pruna AI
How to use PrunaAI/P-H3-Image-Comfy with Pruna AI:
from pruna import PrunaModel model = PrunaModel.from_pretrained("PrunaAI/P-H3-Image-Comfy") - Notebooks
- Google Colab
- Kaggle
Run the workflows on ComfyUI's native P-H3-Image support
Browse filesThe workflows use only ComfyUI's own nodes (Load Diffusion Model, Load CLIP, Load VAE, p-h3-image Conditioning). The README points to the latest ComfyUI instead of the node pack.
- README.md +20 -17
- workflows/p-h3-image_edit.json +1083 -967
- workflows/p-h3-image_lora_edit.json +449 -401
- workflows/p-h3-image_lora_text_to_image.json +309 -305
- workflows/p-h3-image_text_to_image.json +444 -372
README.md
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@@ -72,15 +72,17 @@ without CFG and edits with up to 8 input images. Every component comes in bf16 a
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formats. The smallest set is a 20 GB download that peaks at 21 GB of VRAM at 8 MP, against 143 GB of weights for
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MiniMax-H3.
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-
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in [PrunaAI/P-H3-Image](https://huggingface.co/PrunaAI/P-H3-Image). Try it in the [Hugging Face Spaces](https://huggingface.co/spaces/PrunaAI/P-H3-Image). Read the full blog post [here](https://pruna.ai/blog/oss-p-h3-image-launch).
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## Quickstart
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1. **
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```bash
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-
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```
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2. **Download one file per component** into `ComfyUI/models`. The bf16 set, a 55 GB download plus the prompt upsampler,
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@@ -96,7 +98,7 @@ in [PrunaAI/P-H3-Image](https://huggingface.co/PrunaAI/P-H3-Image). Try it in th
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hf download PrunaAI/P-H3-Image-Comfy --include "diffusion_models/p-h3-image_w4a8.safetensors" "text_encoders/p-h3-image_text_encoder_w4a8.safetensors" "text_encoders/p-h3-image_prompt_upsampler_bf16.safetensors" "vae/p-h3-image_vae_int8_convrot.safetensors" --local-dir ComfyUI/models
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```
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3. **Open a workflow** from `workflows/`
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workflows render at 8 MP in 8 steps through the prompt upsampler.
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## Pick your files
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| `p-h3-image_lora_text_to_image.json` | Text-to-image with the LoRA on your own MiniMax-H3 |
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| `p-h3-image_lora_edit.json` | Editing with the LoRA on your own MiniMax-H3 |
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The
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## Recommended resolutions
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| 9:16 | **2176 × 3872** | 1536 × 2720 |
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Text-to-image works best at 8 MP. In the workflows, Resolution Selector at 8 megapixels and a multiple of 32 gives
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these sizes. Edits work best at 4 or 8 MP.
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4 MP and generates the edit at its size
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-
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## Prompt upsampler
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on two lines, and Generate Text runs with `thinking` on. Keep the aspect ratio the same as in Resolution Selector.
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- **Edits.** Format Text writes the upsampler's input with a `<Picture N>` block for every image, and the images reach
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Generate Text through Batch Images: `image_1` at 1 MP, the references padded to its size. The result is the edit
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prompt for
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- **Use prompt upsampler**, an If/Else switch, set to false sends the request to the model as it is.
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The upsampler runs before P-H3-Image, and ComfyUI moves it out of VRAM when P-H3-Image needs the memory. Its output is
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## Editing
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Connect the image to edit as `image_1` and up to 7 references after it, in the same order in Batch Images and on
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-
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like, such as "the hat from the second photo".
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<p align="center">
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<img src="assets/multi_image.jpg" width="100%">
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If you run MiniMax-H3 in ComfyUI, the 2 GB LoRA `loras/p-h3-image_lora_bf16.safetensors` runs P-H3-Image on its FL2VA
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transformer without a second large download. Load `minimax_h3_fl2va_bf16.safetensors` from
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[Comfy-Org/MiniMax-H3](https://huggingface.co/Comfy-Org/MiniMax-H3) (the pruned and quantized FL2VA files work too),
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apply the LoRA with
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## Limitations
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@@ -240,7 +243,7 @@ The P-H3-Image weights are based on MiniMax-H3 and released under the [MiniMax H
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read it before use. Among other terms, it excludes the European Union, the United Kingdom, the Republic of Korea and
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the United States unless you have a separate license from MiniMax, and products built on it must show "Powered by
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MiniMax H3". The text encoder's Qwen3-VL-4B parts and the prompt upsampler, based on Qwen3.5-9B, are under the
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[Apache License 2.0](LICENSE-APACHE). See [NOTICE](NOTICE) for details.
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## What's next?
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formats. The smallest set is a 20 GB download that peaks at 21 GB of VRAM at 8 MP, against 143 GB of weights for
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MiniMax-H3.
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+
ComfyUI supports P-H3-Image natively, no custom nodes needed. The diffusers pipeline is
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in [PrunaAI/P-H3-Image](https://huggingface.co/PrunaAI/P-H3-Image). Try it in the [Hugging Face Spaces](https://huggingface.co/spaces/PrunaAI/P-H3-Image). Read the full blog post [here](https://pruna.ai/blog/oss-p-h3-image-launch).
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## Quickstart
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1. **Update ComfyUI.** P-H3-Image support is on ComfyUI's master branch and ships with the next release. Until then,
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update to the latest ComfyUI from GitHub (nightly). The desktop app and Comfy Cloud follow stable releases and get it
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with the next one.
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```bash
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cd ComfyUI && git pull
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```
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2. **Download one file per component** into `ComfyUI/models`. The bf16 set, a 55 GB download plus the prompt upsampler,
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hf download PrunaAI/P-H3-Image-Comfy --include "diffusion_models/p-h3-image_w4a8.safetensors" "text_encoders/p-h3-image_text_encoder_w4a8.safetensors" "text_encoders/p-h3-image_prompt_upsampler_bf16.safetensors" "vae/p-h3-image_vae_int8_convrot.safetensors" --local-dir ComfyUI/models
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```
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3. **Open a workflow** from `workflows/`, type a short request and run. The
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workflows render at 8 MP in 8 steps through the prompt upsampler.
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## Pick your files
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| `p-h3-image_lora_text_to_image.json` | Text-to-image with the LoRA on your own MiniMax-H3 |
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| `p-h3-image_lora_edit.json` | Editing with the LoRA on your own MiniMax-H3 |
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+
The workflows use only ComfyUI's own nodes. Load Diffusion Model loads the model, followed by ModelSamplingMiniMaxH3 at
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1.0 for both shifts. Load CLIP (type `minimax`) loads the text encoder, Load VAE the VAE, and p-h3-image Conditioning
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turns the prompt and the images into the conditioning and the latent. The prompt upsampler runs on Generate Text, and
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sampling on ManualSigmas with the 8-step grid, Basic Guider, `euler` and Sampler Custom Advanced, with no CFG or
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negative prompt. The LoRA loads with ComfyUI's Load LoRA (Bypass, Model Only).
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## Recommended resolutions
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|
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| 9:16 | **2176 × 3872** | 1536 × 2720 |
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Text-to-image works best at 8 MP. In the workflows, Resolution Selector at 8 megapixels and a multiple of 32 gives
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+
these sizes. Edits work best at 4 or 8 MP. In the edit workflows, Scale Image to Total Pixels brings `image_1`, the
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image being edited, to 4 MP, and p-h3-image Conditioning generates the edit at its size unless `width` and `height` are
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set. Reference images above about 8 MP are scaled down.
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## Prompt upsampler
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|
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on two lines, and Generate Text runs with `thinking` on. Keep the aspect ratio the same as in Resolution Selector.
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- **Edits.** Format Text writes the upsampler's input with a `<Picture N>` block for every image, and the images reach
|
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Generate Text through Batch Images: `image_1` at 1 MP, the references padded to its size. The result is the edit
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+
prompt for p-h3-image Conditioning.
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- **Use prompt upsampler**, an If/Else switch, set to false sends the request to the model as it is.
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The upsampler runs before P-H3-Image, and ComfyUI moves it out of VRAM when P-H3-Image needs the memory. Its output is
|
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## Editing
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+
Connect the image to edit as `image_1` and up to 7 references after it, in the same order in Batch Images and on
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+
p-h3-image Conditioning, with a `<Picture N>` block in Upsampler input for every image. The request can name the images
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+
however you like, such as "the hat from the second photo".
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<p align="center">
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<img src="assets/multi_image.jpg" width="100%">
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|
|
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If you run MiniMax-H3 in ComfyUI, the 2 GB LoRA `loras/p-h3-image_lora_bf16.safetensors` runs P-H3-Image on its FL2VA
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transformer without a second large download. Load `minimax_h3_fl2va_bf16.safetensors` from
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[Comfy-Org/MiniMax-H3](https://huggingface.co/Comfy-Org/MiniMax-H3) (the pruned and quantized FL2VA files work too),
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+
apply the LoRA with Load LoRA (Bypass, Model Only) at strength 1.0, and start from the `lora` workflows.
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## Limitations
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|
|
|
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read it before use. Among other terms, it excludes the European Union, the United Kingdom, the Republic of Korea and
|
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the United States unless you have a separate license from MiniMax, and products built on it must show "Powered by
|
| 245 |
MiniMax H3". The text encoder's Qwen3-VL-4B parts and the prompt upsampler, based on Qwen3.5-9B, are under the
|
| 246 |
+
[Apache License 2.0](LICENSE-APACHE). See [NOTICE](NOTICE) for details.
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## What's next?
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|
workflows/p-h3-image_edit.json
CHANGED
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{
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"id": "
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"revision": 0,
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"last_node_id":
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"last_link_id":
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"nodes": [
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{
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"id":
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"type": "
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"pos": [
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0,
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],
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"size": [
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320,
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],
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"flags": {},
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"order": 0,
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"mode": 0,
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"inputs": [
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{
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"localized_name": "
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"name": "
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"type": "COMBO",
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"widget": {
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},
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"link": null
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{
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"widget": {
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"name": "
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"link": null
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}
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],
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"outputs": [
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{
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"localized_name": "
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"name": "
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"links": [
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}
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],
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"properties": {
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"Node name for S&R": "
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"cnr_id": "
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"ver": "0.
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"models": [
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{
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"name": "p-h3-image_bf16.safetensors",
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-
"url": "https://huggingface.co/PrunaAI/p-h3-image-comfy/resolve/main/diffusion_models/p-h3-image_bf16.safetensors",
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"directory": "diffusion_models"
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}
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]
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},
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"widgets_values": [
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"
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"widgets_values_named": {
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"pos": [
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0,
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],
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"size": [
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320,
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],
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"flags": {},
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"order": 1,
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"mode": 0,
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"inputs": [
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{
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"localized_name": "
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"name": "
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"type": "COMBO",
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"widget": {
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"outputs": [
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{
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"links": [
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}
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],
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"properties": {
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"Node name for S&R": "
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"cnr_id": "
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"ver": "0.
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"models": [
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{
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"name": "p-h3-image_text_encoder_bf16.safetensors",
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"url": "https://huggingface.co/PrunaAI/p-h3-image-comfy/resolve/main/text_encoders/p-h3-image_text_encoder_bf16.safetensors",
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"directory": "text_encoders"
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}
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]
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},
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"widgets_values": [
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"widgets_values_named": {
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{
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"size": [
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320,
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],
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"flags": {},
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"order": 2,
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"mode": 0,
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"inputs": [
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{
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"outputs": [
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{
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"links": [
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}
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],
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"properties": {
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"Node name for S&R": "
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"cnr_id": "
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"ver": "0.
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"models": [
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{
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"name": "p-h3-image_vae_bf16.safetensors",
|
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"url": "https://huggingface.co/PrunaAI/p-h3-image-comfy/resolve/main/vae/p-h3-image_vae_bf16.safetensors",
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"directory": "vae"
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}
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]
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"widgets_values": [
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"widgets_values_named": {
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{
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"pos": [
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"size": [
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],
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"flags": {},
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"type": "
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"name": "image"
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{
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"localized_name": "
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"type": "
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"name": "upload"
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| 1519 |
-
380,
|
| 1520 |
-
1200
|
| 1521 |
-
],
|
| 1522 |
-
"size": [
|
| 1523 |
-
400,
|
| 1524 |
-
260
|
| 1525 |
-
],
|
| 1526 |
-
"flags": {},
|
| 1527 |
-
"order": 10,
|
| 1528 |
-
"mode": 0,
|
| 1529 |
-
"inputs": [],
|
| 1530 |
-
"outputs": [],
|
| 1531 |
-
"title": "Prompt upsampler",
|
| 1532 |
-
"properties": {},
|
| 1533 |
-
"widgets_values": [
|
| 1534 |
-
"**Prompt upsampler.** Type a short edit request in **Request**, with `<Picture 1>` for the image to edit and `<Picture 2>` for the reference. The upsampler (Generate Text) sees both images and turns the request into an edit brief, shown in the preview.\n\nFor another number of images, add or remove a `<Picture N>: <|vision_start|><|image_pad|><|vision_end|>` block in **Upsampler input** and the image in **Batch Images**, padded to image_1's size.\n\nSet **Use prompt upsampler** to false to send the request to the model as it is."
|
| 1535 |
-
],
|
| 1536 |
-
"widgets_values_named": {
|
| 1537 |
-
"text": "**Prompt upsampler.** Type a short edit request in **Request**, with `<Picture 1>` for the image to edit and `<Picture 2>` for the reference. The upsampler (Generate Text) sees both images and turns the request into an edit brief, shown in the preview.\n\nFor another number of images, add or remove a `<Picture N>: <|vision_start|><|image_pad|><|vision_end|>` block in **Upsampler input** and the image in **Batch Images**, padded to image_1's size.\n\nSet **Use prompt upsampler** to false to send the request to the model as it is."
|
| 1538 |
-
},
|
| 1539 |
-
"color": "#432",
|
| 1540 |
-
"bgcolor": "#653"
|
| 1541 |
}
|
| 1542 |
],
|
| 1543 |
"links": [
|
| 1544 |
-
[
|
| 1545 |
-
5,
|
| 1546 |
-
1,
|
| 1547 |
-
0,
|
| 1548 |
-
8,
|
| 1549 |
-
0,
|
| 1550 |
-
"MODEL"
|
| 1551 |
-
],
|
| 1552 |
-
[
|
| 1553 |
-
6,
|
| 1554 |
-
6,
|
| 1555 |
-
0,
|
| 1556 |
-
8,
|
| 1557 |
-
1,
|
| 1558 |
-
"CONDITIONING"
|
| 1559 |
-
],
|
| 1560 |
[
|
| 1561 |
7,
|
| 1562 |
10,
|
|
@@ -1589,14 +1673,6 @@
|
|
| 1589 |
3,
|
| 1590 |
"SIGMAS"
|
| 1591 |
],
|
| 1592 |
-
[
|
| 1593 |
-
11,
|
| 1594 |
-
6,
|
| 1595 |
-
1,
|
| 1596 |
-
11,
|
| 1597 |
-
4,
|
| 1598 |
-
"LATENT"
|
| 1599 |
-
],
|
| 1600 |
[
|
| 1601 |
12,
|
| 1602 |
11,
|
|
@@ -1605,14 +1681,6 @@
|
|
| 1605 |
0,
|
| 1606 |
"LATENT"
|
| 1607 |
],
|
| 1608 |
-
[
|
| 1609 |
-
13,
|
| 1610 |
-
3,
|
| 1611 |
-
0,
|
| 1612 |
-
12,
|
| 1613 |
-
1,
|
| 1614 |
-
"VAE"
|
| 1615 |
-
],
|
| 1616 |
[
|
| 1617 |
14,
|
| 1618 |
12,
|
|
@@ -1622,84 +1690,124 @@
|
|
| 1622 |
"IMAGE"
|
| 1623 |
],
|
| 1624 |
[
|
| 1625 |
-
|
| 1626 |
-
|
| 1627 |
0,
|
| 1628 |
-
|
| 1629 |
0,
|
| 1630 |
-
"
|
| 1631 |
],
|
| 1632 |
[
|
| 1633 |
-
|
| 1634 |
-
|
| 1635 |
0,
|
| 1636 |
-
|
| 1637 |
-
1,
|
| 1638 |
-
"VAE"
|
| 1639 |
-
],
|
| 1640 |
-
[
|
| 1641 |
-
3,
|
| 1642 |
-
4,
|
| 1643 |
0,
|
| 1644 |
-
6,
|
| 1645 |
-
2,
|
| 1646 |
"IMAGE"
|
| 1647 |
],
|
| 1648 |
[
|
| 1649 |
-
|
| 1650 |
5,
|
| 1651 |
0,
|
| 1652 |
-
|
| 1653 |
-
|
| 1654 |
"IMAGE"
|
| 1655 |
],
|
| 1656 |
[
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1657 |
20,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1658 |
17,
|
| 1659 |
0,
|
| 1660 |
-
|
| 1661 |
0,
|
| 1662 |
"STRING"
|
| 1663 |
],
|
| 1664 |
[
|
| 1665 |
-
|
| 1666 |
-
|
| 1667 |
0,
|
| 1668 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1669 |
0,
|
| 1670 |
-
|
|
|
|
|
|
|
| 1671 |
],
|
| 1672 |
[
|
| 1673 |
-
|
| 1674 |
-
|
| 1675 |
0,
|
| 1676 |
-
|
| 1677 |
0,
|
| 1678 |
-
"
|
| 1679 |
],
|
| 1680 |
[
|
| 1681 |
-
|
| 1682 |
-
|
| 1683 |
0,
|
| 1684 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1685 |
0,
|
| 1686 |
"IMAGE"
|
| 1687 |
],
|
| 1688 |
[
|
| 1689 |
-
|
| 1690 |
-
|
| 1691 |
0,
|
| 1692 |
-
|
| 1693 |
1,
|
| 1694 |
-
"
|
| 1695 |
],
|
| 1696 |
[
|
| 1697 |
-
|
| 1698 |
-
|
| 1699 |
1,
|
| 1700 |
-
|
| 1701 |
-
|
| 1702 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1703 |
],
|
| 1704 |
[
|
| 1705 |
26,
|
|
@@ -1742,35 +1850,43 @@
|
|
| 1742 |
"STRING"
|
| 1743 |
],
|
| 1744 |
[
|
| 1745 |
-
|
| 1746 |
-
|
| 1747 |
0,
|
| 1748 |
-
|
| 1749 |
0,
|
| 1750 |
-
"
|
| 1751 |
],
|
| 1752 |
[
|
| 1753 |
-
|
| 1754 |
-
|
| 1755 |
0,
|
| 1756 |
-
|
| 1757 |
1,
|
| 1758 |
-
"
|
| 1759 |
],
|
| 1760 |
[
|
| 1761 |
-
|
| 1762 |
-
|
| 1763 |
0,
|
| 1764 |
-
|
| 1765 |
-
|
| 1766 |
-
"
|
| 1767 |
],
|
| 1768 |
[
|
| 1769 |
-
|
| 1770 |
-
|
| 1771 |
0,
|
| 1772 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1773 |
0,
|
|
|
|
|
|
|
| 1774 |
"STRING"
|
| 1775 |
]
|
| 1776 |
],
|
|
@@ -1786,4 +1902,4 @@
|
|
| 1786 |
}
|
| 1787 |
},
|
| 1788 |
"version": 0.4
|
| 1789 |
-
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"id": "69d8656c-2ba3-4178-990f-1ff7029e5c2e",
|
| 3 |
"revision": 0,
|
| 4 |
+
"last_node_id": 31,
|
| 5 |
+
"last_link_id": 46,
|
| 6 |
"nodes": [
|
| 7 |
{
|
| 8 |
+
"id": 4,
|
| 9 |
+
"type": "LoadImage",
|
| 10 |
"pos": [
|
| 11 |
0,
|
| 12 |
+
834
|
| 13 |
],
|
| 14 |
"size": [
|
| 15 |
320,
|
| 16 |
+
360
|
| 17 |
],
|
| 18 |
"flags": {},
|
| 19 |
"order": 0,
|
| 20 |
"mode": 0,
|
| 21 |
"inputs": [
|
| 22 |
{
|
| 23 |
+
"localized_name": "image",
|
| 24 |
+
"name": "image",
|
| 25 |
"type": "COMBO",
|
| 26 |
"widget": {
|
| 27 |
+
"name": "image"
|
| 28 |
},
|
| 29 |
"link": null
|
| 30 |
},
|
| 31 |
{
|
| 32 |
+
"localized_name": "choose file to upload",
|
| 33 |
+
"name": "upload",
|
| 34 |
+
"type": "IMAGEUPLOAD",
|
| 35 |
"widget": {
|
| 36 |
+
"name": "upload"
|
| 37 |
},
|
| 38 |
"link": null
|
| 39 |
}
|
| 40 |
],
|
| 41 |
"outputs": [
|
| 42 |
{
|
| 43 |
+
"localized_name": "IMAGE",
|
| 44 |
+
"name": "IMAGE",
|
| 45 |
+
"type": "IMAGE",
|
| 46 |
"links": [
|
| 47 |
+
21,
|
| 48 |
+
42
|
| 49 |
]
|
| 50 |
+
},
|
| 51 |
+
{
|
| 52 |
+
"localized_name": "MASK",
|
| 53 |
+
"name": "MASK",
|
| 54 |
+
"type": "MASK",
|
| 55 |
+
"links": null
|
| 56 |
}
|
| 57 |
],
|
| 58 |
+
"title": "image_1 (edited)",
|
| 59 |
"properties": {
|
| 60 |
+
"Node name for S&R": "LoadImage",
|
| 61 |
+
"cnr_id": "comfy-core",
|
| 62 |
+
"ver": "0.43.0"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 63 |
},
|
| 64 |
"widgets_values": [
|
| 65 |
+
"example.png",
|
| 66 |
+
"image"
|
| 67 |
],
|
| 68 |
"widgets_values_named": {
|
| 69 |
+
"image": "example.png",
|
| 70 |
+
"upload": "image"
|
| 71 |
}
|
| 72 |
},
|
| 73 |
{
|
| 74 |
+
"id": 5,
|
| 75 |
+
"type": "LoadImage",
|
| 76 |
"pos": [
|
| 77 |
0,
|
| 78 |
+
1254
|
| 79 |
],
|
| 80 |
"size": [
|
| 81 |
320,
|
| 82 |
+
360
|
| 83 |
],
|
| 84 |
"flags": {},
|
| 85 |
"order": 1,
|
| 86 |
"mode": 0,
|
| 87 |
"inputs": [
|
| 88 |
{
|
| 89 |
+
"localized_name": "image",
|
| 90 |
+
"name": "image",
|
| 91 |
"type": "COMBO",
|
| 92 |
"widget": {
|
| 93 |
+
"name": "image"
|
| 94 |
+
},
|
| 95 |
+
"link": null
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"localized_name": "choose file to upload",
|
| 99 |
+
"name": "upload",
|
| 100 |
+
"type": "IMAGEUPLOAD",
|
| 101 |
+
"widget": {
|
| 102 |
+
"name": "upload"
|
| 103 |
},
|
| 104 |
"link": null
|
| 105 |
}
|
| 106 |
],
|
| 107 |
"outputs": [
|
| 108 |
{
|
| 109 |
+
"localized_name": "IMAGE",
|
| 110 |
+
"name": "IMAGE",
|
| 111 |
+
"type": "IMAGE",
|
| 112 |
"links": [
|
| 113 |
+
23,
|
| 114 |
+
44
|
| 115 |
]
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"localized_name": "MASK",
|
| 119 |
+
"name": "MASK",
|
| 120 |
+
"type": "MASK",
|
| 121 |
+
"links": null
|
| 122 |
}
|
| 123 |
],
|
| 124 |
+
"title": "image_2 (reference)",
|
| 125 |
"properties": {
|
| 126 |
+
"Node name for S&R": "LoadImage",
|
| 127 |
+
"cnr_id": "comfy-core",
|
| 128 |
+
"ver": "0.43.0"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 129 |
},
|
| 130 |
"widgets_values": [
|
| 131 |
+
"example.png",
|
| 132 |
+
"image"
|
| 133 |
],
|
| 134 |
"widgets_values_named": {
|
| 135 |
+
"image": "example.png",
|
| 136 |
+
"upload": "image"
|
| 137 |
}
|
| 138 |
},
|
| 139 |
{
|
| 140 |
+
"id": 7,
|
| 141 |
+
"type": "ManualSigmas",
|
| 142 |
"pos": [
|
| 143 |
+
1340,
|
| 144 |
+
560
|
| 145 |
],
|
| 146 |
"size": [
|
| 147 |
320,
|
| 148 |
+
82
|
| 149 |
],
|
| 150 |
"flags": {},
|
| 151 |
"order": 2,
|
| 152 |
"mode": 0,
|
| 153 |
"inputs": [
|
| 154 |
{
|
| 155 |
+
"localized_name": "sigmas",
|
| 156 |
+
"name": "sigmas",
|
| 157 |
+
"type": "STRING",
|
| 158 |
"widget": {
|
| 159 |
+
"name": "sigmas"
|
| 160 |
},
|
| 161 |
"link": null
|
| 162 |
}
|
| 163 |
],
|
| 164 |
"outputs": [
|
| 165 |
{
|
| 166 |
+
"localized_name": "SIGMAS",
|
| 167 |
+
"name": "SIGMAS",
|
| 168 |
+
"type": "SIGMAS",
|
| 169 |
"links": [
|
| 170 |
+
10
|
|
|
|
| 171 |
]
|
| 172 |
}
|
| 173 |
],
|
| 174 |
"properties": {
|
| 175 |
+
"Node name for S&R": "ManualSigmas",
|
| 176 |
+
"cnr_id": "comfy-core",
|
| 177 |
+
"ver": "0.43.0"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 178 |
},
|
| 179 |
"widgets_values": [
|
| 180 |
+
"1.0, 0.984753, 0.967905, 0.951688, 0.925372, 0.881923, 0.810083, 0.528718, 0.0"
|
| 181 |
],
|
| 182 |
"widgets_values_named": {
|
| 183 |
+
"sigmas": "1.0, 0.984753, 0.967905, 0.951688, 0.925372, 0.881923, 0.810083, 0.528718, 0.0"
|
| 184 |
}
|
| 185 |
},
|
| 186 |
{
|
| 187 |
+
"id": 8,
|
| 188 |
+
"type": "BasicGuider",
|
| 189 |
"pos": [
|
| 190 |
+
1340,
|
| 191 |
+
100
|
| 192 |
],
|
| 193 |
"size": [
|
| 194 |
+
240,
|
| 195 |
+
46
|
| 196 |
],
|
| 197 |
"flags": {},
|
| 198 |
+
"order": 22,
|
| 199 |
"mode": 0,
|
| 200 |
"inputs": [
|
| 201 |
{
|
| 202 |
+
"localized_name": "model",
|
| 203 |
+
"name": "model",
|
| 204 |
+
"type": "MODEL",
|
| 205 |
+
"link": 36
|
|
|
|
|
|
|
|
|
|
| 206 |
},
|
| 207 |
{
|
| 208 |
+
"localized_name": "conditioning",
|
| 209 |
+
"name": "conditioning",
|
| 210 |
+
"type": "CONDITIONING",
|
| 211 |
+
"link": 45
|
|
|
|
|
|
|
|
|
|
| 212 |
}
|
| 213 |
],
|
| 214 |
"outputs": [
|
| 215 |
{
|
| 216 |
+
"localized_name": "GUIDER",
|
| 217 |
+
"name": "GUIDER",
|
| 218 |
+
"type": "GUIDER",
|
| 219 |
"links": [
|
| 220 |
+
8
|
|
|
|
| 221 |
]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 222 |
}
|
| 223 |
],
|
|
|
|
| 224 |
"properties": {
|
| 225 |
+
"Node name for S&R": "BasicGuider",
|
| 226 |
"cnr_id": "comfy-core",
|
| 227 |
"ver": "0.43.0"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 228 |
}
|
| 229 |
},
|
| 230 |
{
|
| 231 |
+
"id": 9,
|
| 232 |
+
"type": "KSamplerSelect",
|
| 233 |
"pos": [
|
| 234 |
+
1340,
|
| 235 |
+
220
|
| 236 |
],
|
| 237 |
"size": [
|
| 238 |
+
270,
|
| 239 |
+
58
|
| 240 |
],
|
| 241 |
"flags": {},
|
| 242 |
+
"order": 3,
|
| 243 |
"mode": 0,
|
| 244 |
"inputs": [
|
| 245 |
{
|
| 246 |
+
"localized_name": "sampler_name",
|
| 247 |
+
"name": "sampler_name",
|
| 248 |
"type": "COMBO",
|
| 249 |
"widget": {
|
| 250 |
+
"name": "sampler_name"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 251 |
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"off",
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false,
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true,
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"auto"
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],
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"widgets_values_named": {
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"prompt": "",
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"max_length": 3072,
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"sampling_mode": "off",
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"thinking": false,
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"use_default_template": true,
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| 1114 |
+
"mtp": "auto"
|
| 1115 |
}
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| 1116 |
},
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| 1117 |
{
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| 1118 |
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"id": 24,
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"type": "ComfySwitchNode",
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"pos": [
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1180,
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300,
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80
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],
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"flags": {},
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"order": 19,
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{
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"localized_name": "on_false",
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"name": "on_false",
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"shape": 7,
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"type": "*",
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"link": 31
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},
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{
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| 1140 |
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"localized_name": "on_true",
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"name": "on_true",
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| 1142 |
"shape": 7,
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| 1143 |
"type": "*",
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| 1144 |
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"link": 32
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},
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{
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"localized_name": "switch",
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+
"name": "switch",
|
| 1149 |
+
"type": "BOOLEAN",
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| 1150 |
"widget": {
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| 1151 |
+
"name": "switch"
|
| 1152 |
},
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| 1153 |
"link": null
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| 1154 |
}
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| 1155 |
],
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| 1156 |
"outputs": [
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| 1157 |
{
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| 1158 |
+
"localized_name": "output",
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| 1159 |
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"name": "output",
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| 1160 |
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"type": "*",
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"links": [
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34,
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| 1163 |
+
41
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| 1164 |
]
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| 1165 |
}
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| 1166 |
],
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| 1167 |
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"title": "Use prompt upsampler",
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| 1168 |
"properties": {
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"Node name for S&R": "ComfySwitchNode"
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},
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"widgets_values": [
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true
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],
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"widgets_values_named": {
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"switch": true
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}
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},
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{
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"id": 25,
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"type": "MarkdownNote",
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"pos": [
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],
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"size": [
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260
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],
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"flags": {},
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+
"mode": 0,
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| 1192 |
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"inputs": [],
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| 1193 |
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"outputs": [],
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| 1194 |
+
"title": "Prompt upsampler",
|
| 1195 |
+
"properties": {},
|
| 1196 |
+
"widgets_values": [
|
| 1197 |
+
"**Prompt upsampler.** Type a short edit request in **Request**, with `<Picture 1>` for the image to edit and `<Picture 2>` for the reference. The upsampler (Generate Text) sees both images and turns the request into an edit brief, shown in the preview.\n\nFor another number of images, add or remove a `<Picture N>: <|vision_start|><|image_pad|><|vision_end|>` block in **Upsampler input** the image in **Batch Images**, padded to image_1's size, and the image on **p-h3-image Conditioning**.\n\n**image_1 at 4 MP** sets the size of the edit.\n\nSet **Use prompt upsampler** to false to send the request to the model as it is."
|
| 1198 |
+
],
|
| 1199 |
+
"widgets_values_named": {
|
| 1200 |
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"text": "**Prompt upsampler.** Type a short edit request in **Request**, with `<Picture 1>` for the image to edit and `<Picture 2>` for the reference. The upsampler (Generate Text) sees both images and turns the request into an edit brief, shown in the preview.\n\nFor another number of images, add or remove a `<Picture N>: <|vision_start|><|image_pad|><|vision_end|>` block in **Upsampler input** the image in **Batch Images**, padded to image_1's size, and the image on **p-h3-image Conditioning**.\n\n**image_1 at 4 MP** sets the size of the edit.\n\nSet **Use prompt upsampler** to false to send the request to the model as it is."
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| 1201 |
+
},
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| 1202 |
+
"color": "#432",
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| 1203 |
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"bgcolor": "#653"
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{
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"name": "unet_name",
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"type": "COMBO",
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"widget": {
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"name": "unet_name"
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],
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{
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+
"localized_name": "MODEL",
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"name": "MODEL",
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| 1243 |
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"type": "MODEL",
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"links": [
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}
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"properties": {
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| 1250 |
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"Node name for S&R": "UNETLoader",
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+
"models": [
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+
{
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+
"name": "p-h3-image_bf16.safetensors",
|
| 1254 |
+
"url": "https://huggingface.co/PrunaAI/P-H3-Image-Comfy/resolve/main/diffusion_models/p-h3-image_bf16.safetensors",
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| 1255 |
+
"directory": "diffusion_models"
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+
}
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+
]
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| 1258 |
},
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| 1259 |
"widgets_values": [
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+
"p-h3-image_bf16.safetensors",
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"default"
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],
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"widgets_values_named": {
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"unet_name": "p-h3-image_bf16.safetensors",
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| 1265 |
+
"weight_dtype": "default"
|
|
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| 1266 |
}
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| 1267 |
},
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| 1268 |
{
|
| 1269 |
+
"id": 27,
|
| 1270 |
+
"type": "MiniMaxH3SigmaShift",
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| 1271 |
"pos": [
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0,
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| 1273 |
+
242
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],
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| 1275 |
"size": [
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| 1277 |
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82
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| 1278 |
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"flags": {},
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| 1280 |
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| 1281 |
"mode": 0,
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| 1282 |
"inputs": [
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| 1283 |
{
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| 1284 |
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"localized_name": "model",
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| 1285 |
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"name": "model",
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| 1286 |
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"type": "MODEL",
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| 1287 |
+
"link": 35
|
| 1288 |
+
},
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| 1289 |
+
{
|
| 1290 |
+
"localized_name": "shift_video",
|
| 1291 |
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"name": "shift_video",
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| 1292 |
+
"type": "FLOAT",
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| 1293 |
+
"widget": {
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| 1294 |
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"name": "shift_video"
|
| 1295 |
+
},
|
| 1296 |
+
"link": null
|
| 1297 |
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},
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| 1298 |
+
{
|
| 1299 |
+
"localized_name": "shift_audio",
|
| 1300 |
+
"name": "shift_audio",
|
| 1301 |
+
"type": "FLOAT",
|
| 1302 |
+
"widget": {
|
| 1303 |
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"name": "shift_audio"
|
| 1304 |
+
},
|
| 1305 |
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"link": null
|
| 1306 |
}
|
| 1307 |
],
|
| 1308 |
"outputs": [
|
| 1309 |
{
|
| 1310 |
+
"localized_name": "MODEL",
|
| 1311 |
+
"name": "MODEL",
|
| 1312 |
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"type": "MODEL",
|
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"links": [
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| 1315 |
]
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| 1316 |
}
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| 1317 |
],
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"properties": {
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| 1319 |
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"Node name for S&R": "MiniMaxH3SigmaShift"
|
| 1320 |
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},
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"widgets_values": [
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| 1322 |
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1,
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| 1323 |
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1
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],
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"widgets_values_named": {
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"shift_video": 1,
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| 1327 |
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"shift_audio": 1
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| 1328 |
}
|
| 1329 |
},
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| 1330 |
{
|
| 1331 |
+
"id": 28,
|
| 1332 |
+
"type": "CLIPLoader",
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| 1333 |
"pos": [
|
| 1334 |
+
0,
|
| 1335 |
+
384
|
| 1336 |
],
|
| 1337 |
"size": [
|
| 1338 |
+
270,
|
| 1339 |
+
106
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| 1340 |
],
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| 1341 |
"flags": {},
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| 1342 |
+
"order": 9,
|
| 1343 |
"mode": 0,
|
| 1344 |
"inputs": [
|
| 1345 |
{
|
| 1346 |
+
"localized_name": "clip_name",
|
| 1347 |
+
"name": "clip_name",
|
| 1348 |
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"type": "COMBO",
|
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| 1349 |
"widget": {
|
| 1350 |
+
"name": "clip_name"
|
| 1351 |
},
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| 1352 |
+
"link": null
|
| 1353 |
},
|
| 1354 |
{
|
| 1355 |
+
"localized_name": "type",
|
| 1356 |
+
"name": "type",
|
| 1357 |
"type": "COMBO",
|
| 1358 |
"widget": {
|
| 1359 |
+
"name": "type"
|
| 1360 |
},
|
| 1361 |
"link": null
|
| 1362 |
},
|
| 1363 |
{
|
| 1364 |
+
"localized_name": "device",
|
| 1365 |
+
"name": "device",
|
| 1366 |
+
"shape": 7,
|
| 1367 |
"type": "COMBO",
|
| 1368 |
"widget": {
|
| 1369 |
+
"name": "device"
|
| 1370 |
},
|
| 1371 |
"link": null
|
| 1372 |
}
|
| 1373 |
],
|
| 1374 |
"outputs": [
|
| 1375 |
{
|
| 1376 |
+
"localized_name": "CLIP",
|
| 1377 |
+
"name": "CLIP",
|
| 1378 |
+
"type": "CLIP",
|
| 1379 |
"links": [
|
| 1380 |
+
39
|
| 1381 |
]
|
| 1382 |
}
|
| 1383 |
],
|
| 1384 |
+
"title": "p-h3-image text encoder",
|
| 1385 |
"properties": {
|
| 1386 |
+
"Node name for S&R": "CLIPLoader",
|
| 1387 |
+
"models": [
|
| 1388 |
+
{
|
| 1389 |
+
"name": "p-h3-image_text_encoder_bf16.safetensors",
|
| 1390 |
+
"url": "https://huggingface.co/PrunaAI/P-H3-Image-Comfy/resolve/main/text_encoders/p-h3-image_text_encoder_bf16.safetensors",
|
| 1391 |
+
"directory": "text_encoders"
|
| 1392 |
+
}
|
| 1393 |
+
]
|
| 1394 |
},
|
| 1395 |
"widgets_values": [
|
| 1396 |
+
"p-h3-image_text_encoder_bf16.safetensors",
|
| 1397 |
+
"minimax",
|
| 1398 |
+
"default"
|
|
|
|
| 1399 |
],
|
| 1400 |
"widgets_values_named": {
|
| 1401 |
+
"clip_name": "p-h3-image_text_encoder_bf16.safetensors",
|
| 1402 |
+
"type": "minimax",
|
| 1403 |
+
"device": "default"
|
|
|
|
| 1404 |
}
|
| 1405 |
},
|
| 1406 |
{
|
| 1407 |
+
"id": 29,
|
| 1408 |
+
"type": "VAELoader",
|
| 1409 |
"pos": [
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| 1410 |
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0,
|
| 1411 |
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550
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| 1412 |
],
|
| 1413 |
"size": [
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| 1414 |
+
270,
|
| 1415 |
+
58
|
| 1416 |
],
|
| 1417 |
"flags": {},
|
| 1418 |
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"order": 10,
|
| 1419 |
"mode": 0,
|
| 1420 |
"inputs": [
|
| 1421 |
{
|
| 1422 |
+
"localized_name": "vae_name",
|
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"name": "vae_name",
|
| 1424 |
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"type": "COMBO",
|
| 1425 |
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"widget": {
|
| 1426 |
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"name": "vae_name"
|
| 1427 |
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},
|
|
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| 1428 |
"link": null
|
| 1429 |
}
|
| 1430 |
],
|
| 1431 |
"outputs": [
|
| 1432 |
{
|
| 1433 |
+
"localized_name": "VAE",
|
| 1434 |
+
"name": "VAE",
|
| 1435 |
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"type": "VAE",
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"links": [
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38,
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]
|
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}
|
| 1441 |
],
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| 1442 |
"properties": {
|
| 1443 |
+
"Node name for S&R": "VAELoader",
|
| 1444 |
+
"models": [
|
| 1445 |
+
{
|
| 1446 |
+
"name": "p-h3-image_vae_bf16.safetensors",
|
| 1447 |
+
"url": "https://huggingface.co/PrunaAI/P-H3-Image-Comfy/resolve/main/vae/p-h3-image_vae_bf16.safetensors",
|
| 1448 |
+
"directory": "vae"
|
| 1449 |
+
}
|
| 1450 |
+
]
|
| 1451 |
+
},
|
| 1452 |
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"widgets_values": [
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"p-h3-image_vae_bf16.safetensors"
|
| 1454 |
+
],
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"widgets_values_named": {
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"vae_name": "p-h3-image_vae_bf16.safetensors"
|
| 1457 |
}
|
| 1458 |
},
|
| 1459 |
{
|
| 1460 |
+
"id": 30,
|
| 1461 |
+
"type": "PH3ImageConditioning",
|
| 1462 |
"pos": [
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| 1463 |
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860,
|
| 1464 |
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100
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],
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400,
|
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+
236
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],
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"flags": {},
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"order": 21,
|
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"inputs": [
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{
|
| 1475 |
"localized_name": "clip",
|
| 1476 |
"name": "clip",
|
| 1477 |
"type": "CLIP",
|
| 1478 |
+
"link": 39
|
| 1479 |
},
|
| 1480 |
{
|
| 1481 |
+
"localized_name": "vae",
|
| 1482 |
+
"name": "vae",
|
| 1483 |
"shape": 7,
|
| 1484 |
+
"type": "VAE",
|
| 1485 |
+
"link": 40
|
| 1486 |
},
|
| 1487 |
{
|
| 1488 |
+
"localized_name": "image_1",
|
| 1489 |
+
"name": "images.image_1",
|
| 1490 |
"shape": 7,
|
| 1491 |
"type": "IMAGE",
|
| 1492 |
+
"link": 43
|
| 1493 |
},
|
| 1494 |
{
|
| 1495 |
+
"localized_name": "image_2",
|
| 1496 |
+
"name": "images.image_2",
|
| 1497 |
"shape": 7,
|
| 1498 |
+
"type": "IMAGE",
|
| 1499 |
+
"link": 44
|
| 1500 |
},
|
| 1501 |
{
|
| 1502 |
+
"localized_name": "image_3",
|
| 1503 |
+
"name": "images.image_3",
|
| 1504 |
"shape": 7,
|
| 1505 |
+
"type": "IMAGE",
|
| 1506 |
"link": null
|
| 1507 |
},
|
| 1508 |
{
|
|
|
|
| 1512 |
"widget": {
|
| 1513 |
"name": "prompt"
|
| 1514 |
},
|
| 1515 |
+
"link": 41
|
| 1516 |
},
|
| 1517 |
{
|
| 1518 |
+
"localized_name": "width",
|
| 1519 |
+
"name": "width",
|
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| 187 |
],
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"size": [
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320,
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360
|
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],
|
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"flags": {},
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-
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{
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@@ -218,8 +109,8 @@
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"name": "IMAGE",
|
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"type": "IMAGE",
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"links": [
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-
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-
|
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]
|
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},
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{
|
|
@@ -249,14 +140,14 @@
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"type": "LoadImage",
|
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"pos": [
|
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0,
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-
|
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],
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"size": [
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320,
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360
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"flags": {},
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{
|
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@@ -284,8 +175,8 @@
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"name": "IMAGE",
|
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"type": "IMAGE",
|
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"links": [
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-
|
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-
|
| 289 |
]
|
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},
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{
|
|
@@ -310,169 +201,6 @@
|
|
| 310 |
"upload": "image"
|
| 311 |
}
|
| 312 |
},
|
| 313 |
-
{
|
| 314 |
-
"id": 6,
|
| 315 |
-
"type": "p-h3-image_edit",
|
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-
"pos": [
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-
860,
|
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-
100
|
| 319 |
-
],
|
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-
"size": [
|
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-
420,
|
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-
480
|
| 323 |
-
],
|
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-
"flags": {},
|
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"order": 20,
|
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-
"mode": 0,
|
| 327 |
-
"inputs": [
|
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-
{
|
| 329 |
-
"localized_name": "clip",
|
| 330 |
-
"name": "clip",
|
| 331 |
-
"type": "CLIP",
|
| 332 |
-
"link": 1
|
| 333 |
-
},
|
| 334 |
-
{
|
| 335 |
-
"localized_name": "vae",
|
| 336 |
-
"name": "vae",
|
| 337 |
-
"type": "VAE",
|
| 338 |
-
"link": 2
|
| 339 |
-
},
|
| 340 |
-
{
|
| 341 |
-
"label": "image_1",
|
| 342 |
-
"localized_name": "image_1",
|
| 343 |
-
"name": "images.image_1",
|
| 344 |
-
"type": "IMAGE",
|
| 345 |
-
"link": 3
|
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-
},
|
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-
{
|
| 348 |
-
"label": "image_2",
|
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-
"localized_name": "image_2",
|
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-
"name": "images.image_2",
|
| 351 |
-
"shape": 7,
|
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-
"type": "IMAGE",
|
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-
"link": 4
|
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-
},
|
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{
|
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"label": "image_3",
|
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"localized_name": "image_3",
|
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"name": "images.image_3",
|
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-
"shape": 7,
|
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"type": "IMAGE",
|
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"link": null
|
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},
|
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{
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"localized_name": "image_4",
|
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"name": "images.image_4",
|
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"shape": 7,
|
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"type": "IMAGE",
|
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"link": null
|
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},
|
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{
|
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"localized_name": "prompt",
|
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"name": "prompt",
|
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"type": "STRING",
|
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"widget": {
|
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"name": "prompt"
|
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},
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"link": 35
|
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},
|
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{
|
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"localized_name": "image_1_min_megapixels",
|
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"name": "image_1_min_megapixels",
|
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"type": "FLOAT",
|
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"widget": {
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"name": "image_1_min_megapixels"
|
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},
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"link": null
|
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},
|
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{
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"localized_name": "min_megapixels",
|
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"name": "min_megapixels",
|
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"type": "FLOAT",
|
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"widget": {
|
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"name": "min_megapixels"
|
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|
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"link": null
|
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},
|
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{
|
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"localized_name": "max_megapixels",
|
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"name": "max_megapixels",
|
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"type": "FLOAT",
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"widget": {
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"name": "max_megapixels"
|
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"link": null
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},
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{
|
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"localized_name": "width",
|
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"name": "width",
|
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"type": "INT",
|
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"widget": {
|
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"name": "width"
|
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-
},
|
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"link": null
|
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},
|
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{
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"localized_name": "height",
|
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"name": "height",
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"type": "INT",
|
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"widget": {
|
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"name": "height"
|
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},
|
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"link": null
|
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},
|
| 424 |
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{
|
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"localized_name": "vision_megapixels",
|
| 426 |
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"name": "vision_megapixels",
|
| 427 |
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"type": "FLOAT",
|
| 428 |
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"widget": {
|
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"name": "vision_megapixels"
|
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},
|
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"link": null
|
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}
|
| 433 |
-
],
|
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-
"outputs": [
|
| 435 |
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{
|
| 436 |
-
"localized_name": "CONDITIONING",
|
| 437 |
-
"name": "CONDITIONING",
|
| 438 |
-
"type": "CONDITIONING",
|
| 439 |
-
"links": [
|
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-
6
|
| 441 |
-
]
|
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-
},
|
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-
{
|
| 444 |
-
"localized_name": "LATENT",
|
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"name": "LATENT",
|
| 446 |
-
"type": "LATENT",
|
| 447 |
-
"links": [
|
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11
|
| 449 |
-
]
|
| 450 |
-
}
|
| 451 |
-
],
|
| 452 |
-
"properties": {
|
| 453 |
-
"Node name for S&R": "p-h3-image_edit",
|
| 454 |
-
"cnr_id": "p-h3-image",
|
| 455 |
-
"ver": "0.1.0"
|
| 456 |
-
},
|
| 457 |
-
"widgets_values": [
|
| 458 |
-
"Put the hat from <Picture 2> on the person in <Picture 1>.",
|
| 459 |
-
4,
|
| 460 |
-
1,
|
| 461 |
-
8,
|
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-
0,
|
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-
0,
|
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-
1
|
| 465 |
-
],
|
| 466 |
-
"widgets_values_named": {
|
| 467 |
-
"prompt": "Put the hat from <Picture 2> on the person in <Picture 1>.",
|
| 468 |
-
"image_1_min_megapixels": 4,
|
| 469 |
-
"min_megapixels": 1,
|
| 470 |
-
"max_megapixels": 8,
|
| 471 |
-
"width": 0,
|
| 472 |
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"height": 0,
|
| 473 |
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"vision_megapixels": 1
|
| 474 |
-
}
|
| 475 |
-
},
|
| 476 |
{
|
| 477 |
"id": 7,
|
| 478 |
"type": "ManualSigmas",
|
|
@@ -485,7 +213,7 @@
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| 485 |
82
|
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],
|
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"flags": {},
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"order":
|
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"inputs": [
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{
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@@ -532,7 +260,7 @@
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46
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|
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"flags": {},
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{
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@@ -545,7 +273,7 @@
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| 545 |
"localized_name": "conditioning",
|
| 546 |
"name": "conditioning",
|
| 547 |
"type": "CONDITIONING",
|
| 548 |
-
"link":
|
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}
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],
|
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"outputs": [
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@@ -576,7 +304,7 @@
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58
|
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"flags": {},
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{
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@@ -623,7 +351,7 @@
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82
|
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],
|
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"flags": {},
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"order":
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"inputs": [
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{
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@@ -672,7 +400,7 @@
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330
|
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],
|
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"flags": {},
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"order":
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"inputs": [
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{
|
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@@ -703,7 +431,7 @@
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|
| 703 |
"localized_name": "latent_image",
|
| 704 |
"name": "latent_image",
|
| 705 |
"type": "LATENT",
|
| 706 |
-
"link":
|
| 707 |
}
|
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],
|
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"outputs": [
|
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@@ -740,7 +468,7 @@
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|
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|
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"flags": {},
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"order":
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"inputs": [
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{
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@@ -753,7 +481,7 @@
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|
| 753 |
"localized_name": "vae",
|
| 754 |
"name": "vae",
|
| 755 |
"type": "VAE",
|
| 756 |
-
"link":
|
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}
|
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],
|
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"outputs": [
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@@ -784,7 +512,7 @@
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|
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|
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"inputs": [
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{
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@@ -828,7 +556,7 @@
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| 828 |
"type": "LoraLoaderBypassModelOnly",
|
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"pos": [
|
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0,
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-
|
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],
|
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"size": [
|
| 834 |
365.1333984375,
|
|
@@ -880,7 +608,7 @@
|
|
| 880 |
"models": [
|
| 881 |
{
|
| 882 |
"name": "p-h3-image_lora_bf16.safetensors",
|
| 883 |
-
"url": "https://huggingface.co/PrunaAI/
|
| 884 |
"directory": "loras"
|
| 885 |
}
|
| 886 |
]
|
|
@@ -899,14 +627,14 @@
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|
| 899 |
"type": "MiniMaxH3SigmaShift",
|
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"pos": [
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0,
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],
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"size": [
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|
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"inputs": [
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{
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@@ -963,14 +691,14 @@
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"type": "CLIPLoader",
|
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"pos": [
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"size": [
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"order":
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{
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@@ -1020,7 +748,7 @@
|
|
| 1020 |
"models": [
|
| 1021 |
{
|
| 1022 |
"name": "p-h3-image_prompt_upsampler_bf16.safetensors",
|
| 1023 |
-
"url": "https://huggingface.co/PrunaAI/
|
| 1024 |
"directory": "text_encoders"
|
| 1025 |
}
|
| 1026 |
]
|
|
@@ -1087,7 +815,7 @@
|
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| 1087 |
180
|
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],
|
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"flags": {},
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"order":
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{
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@@ -1134,7 +862,7 @@
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|
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],
|
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"flags": {},
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"order":
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"inputs": [
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{
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@@ -1269,7 +997,7 @@
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],
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"order":
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{
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@@ -1319,7 +1047,7 @@
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{
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@@ -1401,10 +1129,10 @@
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],
|
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"size": [
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220,
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|
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|
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"order":
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{
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@@ -1454,7 +1182,7 @@
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{
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@@ -1598,7 +1326,7 @@
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|
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"flags": {},
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"order":
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{
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|
@@ -1631,8 +1359,8 @@
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| 1631 |
"name": "output",
|
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"type": "STRING",
|
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"links": [
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|
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@@ -1659,38 +1387,342 @@
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|
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"flags": {},
|
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"order":
|
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"mode": 0,
|
| 1664 |
"inputs": [],
|
| 1665 |
"outputs": [],
|
| 1666 |
"title": "Prompt upsampler",
|
| 1667 |
"properties": {},
|
| 1668 |
"widgets_values": [
|
| 1669 |
-
"**Prompt upsampler.** Type a short edit request in **Request**, with `<Picture 1>` for the image to edit and `<Picture 2>` for the reference. The upsampler (Generate Text) sees both images and turns the request into an edit brief, shown in the preview.\n\nFor another number of images, add or remove a `<Picture N>: <|vision_start|><|image_pad|><|vision_end|>` block in **Upsampler input**
|
| 1670 |
],
|
| 1671 |
"widgets_values_named": {
|
| 1672 |
-
"text": "**Prompt upsampler.** Type a short edit request in **Request**, with `<Picture 1>` for the image to edit and `<Picture 2>` for the reference. The upsampler (Generate Text) sees both images and turns the request into an edit brief, shown in the preview.\n\nFor another number of images, add or remove a `<Picture N>: <|vision_start|><|image_pad|><|vision_end|>` block in **Upsampler input**
|
| 1673 |
},
|
| 1674 |
"color": "#432",
|
| 1675 |
"bgcolor": "#653"
|
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}
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| 1687 |
[
|
| 1688 |
-
|
| 1689 |
-
|
| 1690 |
0,
|
| 1691 |
8,
|
| 1692 |
-
|
| 1693 |
-
"
|
| 1694 |
],
|
| 1695 |
[
|
| 1696 |
7,
|
|
@@ -1724,14 +1756,6 @@
|
|
| 1724 |
3,
|
| 1725 |
"SIGMAS"
|
| 1726 |
],
|
| 1727 |
-
[
|
| 1728 |
-
11,
|
| 1729 |
-
6,
|
| 1730 |
-
1,
|
| 1731 |
-
11,
|
| 1732 |
-
4,
|
| 1733 |
-
"LATENT"
|
| 1734 |
-
],
|
| 1735 |
[
|
| 1736 |
12,
|
| 1737 |
11,
|
|
@@ -1740,14 +1764,6 @@
|
|
| 1740 |
0,
|
| 1741 |
"LATENT"
|
| 1742 |
],
|
| 1743 |
-
[
|
| 1744 |
-
13,
|
| 1745 |
-
3,
|
| 1746 |
-
0,
|
| 1747 |
-
12,
|
| 1748 |
-
1,
|
| 1749 |
-
"VAE"
|
| 1750 |
-
],
|
| 1751 |
[
|
| 1752 |
14,
|
| 1753 |
12,
|
|
@@ -1772,46 +1788,6 @@
|
|
| 1772 |
0,
|
| 1773 |
"MODEL"
|
| 1774 |
],
|
| 1775 |
-
[
|
| 1776 |
-
1,
|
| 1777 |
-
2,
|
| 1778 |
-
0,
|
| 1779 |
-
6,
|
| 1780 |
-
0,
|
| 1781 |
-
"CLIP"
|
| 1782 |
-
],
|
| 1783 |
-
[
|
| 1784 |
-
2,
|
| 1785 |
-
3,
|
| 1786 |
-
0,
|
| 1787 |
-
6,
|
| 1788 |
-
1,
|
| 1789 |
-
"VAE"
|
| 1790 |
-
],
|
| 1791 |
-
[
|
| 1792 |
-
3,
|
| 1793 |
-
4,
|
| 1794 |
-
0,
|
| 1795 |
-
6,
|
| 1796 |
-
2,
|
| 1797 |
-
"IMAGE"
|
| 1798 |
-
],
|
| 1799 |
-
[
|
| 1800 |
-
4,
|
| 1801 |
-
5,
|
| 1802 |
-
0,
|
| 1803 |
-
6,
|
| 1804 |
-
3,
|
| 1805 |
-
"IMAGE"
|
| 1806 |
-
],
|
| 1807 |
-
[
|
| 1808 |
-
22,
|
| 1809 |
-
19,
|
| 1810 |
-
0,
|
| 1811 |
-
20,
|
| 1812 |
-
0,
|
| 1813 |
-
"STRING"
|
| 1814 |
-
],
|
| 1815 |
[
|
| 1816 |
23,
|
| 1817 |
4,
|
|
@@ -1852,6 +1828,70 @@
|
|
| 1852 |
2,
|
| 1853 |
"INT"
|
| 1854 |
],
|
|
|
|
|
|
|
|
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|
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|
| 1855 |
[
|
| 1856 |
28,
|
| 1857 |
21,
|
|
@@ -1893,35 +1933,43 @@
|
|
| 1893 |
"STRING"
|
| 1894 |
],
|
| 1895 |
[
|
| 1896 |
-
|
| 1897 |
-
|
| 1898 |
0,
|
| 1899 |
-
|
| 1900 |
0,
|
| 1901 |
-
"
|
| 1902 |
],
|
| 1903 |
[
|
| 1904 |
-
|
| 1905 |
-
|
| 1906 |
0,
|
| 1907 |
-
|
| 1908 |
1,
|
| 1909 |
-
"
|
| 1910 |
],
|
| 1911 |
[
|
| 1912 |
-
|
| 1913 |
-
|
| 1914 |
0,
|
| 1915 |
-
|
| 1916 |
-
|
| 1917 |
-
"
|
| 1918 |
],
|
| 1919 |
[
|
| 1920 |
-
|
| 1921 |
-
|
| 1922 |
0,
|
| 1923 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1924 |
0,
|
|
|
|
|
|
|
| 1925 |
"STRING"
|
| 1926 |
]
|
| 1927 |
],
|
|
@@ -1937,4 +1985,4 @@
|
|
| 1937 |
}
|
| 1938 |
},
|
| 1939 |
"version": 0.4
|
| 1940 |
-
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"id": "da2f97d7-d159-4e82-bf4c-9ec695568326",
|
| 3 |
"revision": 0,
|
| 4 |
+
"last_node_id": 31,
|
| 5 |
+
"last_link_id": 46,
|
| 6 |
"nodes": [
|
| 7 |
{
|
| 8 |
"id": 1,
|
|
|
|
| 69 |
"weight_dtype": "default"
|
| 70 |
}
|
| 71 |
},
|
|
|
|
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|
|
| 72 |
{
|
| 73 |
"id": 4,
|
| 74 |
"type": "LoadImage",
|
| 75 |
"pos": [
|
| 76 |
0,
|
| 77 |
+
976
|
| 78 |
],
|
| 79 |
"size": [
|
| 80 |
320,
|
| 81 |
360
|
| 82 |
],
|
| 83 |
"flags": {},
|
| 84 |
+
"order": 1,
|
| 85 |
"mode": 0,
|
| 86 |
"inputs": [
|
| 87 |
{
|
|
|
|
| 109 |
"name": "IMAGE",
|
| 110 |
"type": "IMAGE",
|
| 111 |
"links": [
|
| 112 |
+
23,
|
| 113 |
+
42
|
| 114 |
]
|
| 115 |
},
|
| 116 |
{
|
|
|
|
| 140 |
"type": "LoadImage",
|
| 141 |
"pos": [
|
| 142 |
0,
|
| 143 |
+
1396
|
| 144 |
],
|
| 145 |
"size": [
|
| 146 |
320,
|
| 147 |
360
|
| 148 |
],
|
| 149 |
"flags": {},
|
| 150 |
+
"order": 2,
|
| 151 |
"mode": 0,
|
| 152 |
"inputs": [
|
| 153 |
{
|
|
|
|
| 175 |
"name": "IMAGE",
|
| 176 |
"type": "IMAGE",
|
| 177 |
"links": [
|
| 178 |
+
25,
|
| 179 |
+
44
|
| 180 |
]
|
| 181 |
},
|
| 182 |
{
|
|
|
|
| 201 |
"upload": "image"
|
| 202 |
}
|
| 203 |
},
|
|
|
|
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|
| 204 |
{
|
| 205 |
"id": 7,
|
| 206 |
"type": "ManualSigmas",
|
|
|
|
| 213 |
82
|
| 214 |
],
|
| 215 |
"flags": {},
|
| 216 |
+
"order": 3,
|
| 217 |
"mode": 0,
|
| 218 |
"inputs": [
|
| 219 |
{
|
|
|
|
| 260 |
46
|
| 261 |
],
|
| 262 |
"flags": {},
|
| 263 |
+
"order": 23,
|
| 264 |
"mode": 0,
|
| 265 |
"inputs": [
|
| 266 |
{
|
|
|
|
| 273 |
"localized_name": "conditioning",
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| 274 |
"name": "conditioning",
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| 275 |
"type": "CONDITIONING",
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"link": 45
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| 277 |
}
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| 278 |
],
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| 279 |
"outputs": [
|
|
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| 304 |
58
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"flags": {},
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{
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82
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"flags": {},
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{
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"localized_name": "latent_image",
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"name": "latent_image",
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"type": "LATENT",
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{
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"localized_name": "vae",
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| 482 |
"name": "vae",
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| 483 |
"type": "VAE",
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{
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"type": "LoraLoaderBypassModelOnly",
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"pos": [
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"name": "p-h3-image_lora_bf16.safetensors",
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"url": "https://huggingface.co/PrunaAI/P-H3-Image-Comfy/resolve/main/loras/p-h3-image_lora_bf16.safetensors",
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"directory": "loras"
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}
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"type": "MiniMaxH3SigmaShift",
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{
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"type": "CLIPLoader",
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{
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{
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| 750 |
"name": "p-h3-image_prompt_upsampler_bf16.safetensors",
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"url": "https://huggingface.co/PrunaAI/P-H3-Image-Comfy/resolve/main/text_encoders/p-h3-image_prompt_upsampler_bf16.safetensors",
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"directory": "text_encoders"
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}
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]
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|
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180
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],
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{
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240
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{
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{
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|
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170
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],
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"flags": {},
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],
|
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|
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220,
|
| 1132 |
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| 1133 |
],
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"flags": {},
|
| 1135 |
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{
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],
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"flags": {},
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| 1185 |
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"mode": 0,
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{
|
|
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80
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],
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"flags": {},
|
| 1329 |
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"mode": 0,
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{
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|
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"name": "output",
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"type": "STRING",
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"links": [
|
| 1362 |
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],
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],
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"flags": {},
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|
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"inputs": [],
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"outputs": [],
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| 1394 |
"title": "Prompt upsampler",
|
| 1395 |
"properties": {},
|
| 1396 |
"widgets_values": [
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| 1397 |
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"**Prompt upsampler.** Type a short edit request in **Request**, with `<Picture 1>` for the image to edit and `<Picture 2>` for the reference. The upsampler (Generate Text) sees both images and turns the request into an edit brief, shown in the preview.\n\nFor another number of images, add or remove a `<Picture N>: <|vision_start|><|image_pad|><|vision_end|>` block in **Upsampler input** the image in **Batch Images**, padded to image_1's size, and the image on **p-h3-image Conditioning**.\n\n**image_1 at 4 MP** sets the size of the edit.\n\nSet **Use prompt upsampler** to false to send the request to the model as it is."
|
| 1398 |
],
|
| 1399 |
"widgets_values_named": {
|
| 1400 |
+
"text": "**Prompt upsampler.** Type a short edit request in **Request**, with `<Picture 1>` for the image to edit and `<Picture 2>` for the reference. The upsampler (Generate Text) sees both images and turns the request into an edit brief, shown in the preview.\n\nFor another number of images, add or remove a `<Picture N>: <|vision_start|><|image_pad|><|vision_end|>` block in **Upsampler input** the image in **Batch Images**, padded to image_1's size, and the image on **p-h3-image Conditioning**.\n\n**image_1 at 4 MP** sets the size of the edit.\n\nSet **Use prompt upsampler** to false to send the request to the model as it is."
|
| 1401 |
},
|
| 1402 |
"color": "#432",
|
| 1403 |
"bgcolor": "#653"
|
| 1404 |
+
},
|
| 1405 |
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{
|
| 1406 |
+
"id": 28,
|
| 1407 |
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"type": "CLIPLoader",
|
| 1408 |
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"pos": [
|
| 1409 |
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0,
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| 1410 |
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|
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|
| 1413 |
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| 1414 |
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|
| 1415 |
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],
|
| 1416 |
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|
| 1417 |
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|
| 1418 |
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|
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|
| 1420 |
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{
|
| 1421 |
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| 1422 |
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"name": "clip_name",
|
| 1423 |
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"type": "COMBO",
|
| 1424 |
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"widget": {
|
| 1425 |
+
"name": "clip_name"
|
| 1426 |
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},
|
| 1427 |
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"link": null
|
| 1428 |
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},
|
| 1429 |
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{
|
| 1430 |
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"localized_name": "type",
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| 1431 |
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"name": "type",
|
| 1432 |
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"type": "COMBO",
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| 1433 |
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"widget": {
|
| 1434 |
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"name": "type"
|
| 1435 |
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},
|
| 1436 |
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"link": null
|
| 1437 |
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},
|
| 1438 |
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{
|
| 1439 |
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"localized_name": "device",
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| 1440 |
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"name": "device",
|
| 1441 |
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"shape": 7,
|
| 1442 |
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"type": "COMBO",
|
| 1443 |
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"widget": {
|
| 1444 |
+
"name": "device"
|
| 1445 |
+
},
|
| 1446 |
+
"link": null
|
| 1447 |
+
}
|
| 1448 |
+
],
|
| 1449 |
+
"outputs": [
|
| 1450 |
+
{
|
| 1451 |
+
"localized_name": "CLIP",
|
| 1452 |
+
"name": "CLIP",
|
| 1453 |
+
"type": "CLIP",
|
| 1454 |
+
"links": [
|
| 1455 |
+
39
|
| 1456 |
+
]
|
| 1457 |
+
}
|
| 1458 |
+
],
|
| 1459 |
+
"title": "p-h3-image text encoder",
|
| 1460 |
+
"properties": {
|
| 1461 |
+
"Node name for S&R": "CLIPLoader",
|
| 1462 |
+
"models": [
|
| 1463 |
+
{
|
| 1464 |
+
"name": "p-h3-image_text_encoder_bf16.safetensors",
|
| 1465 |
+
"url": "https://huggingface.co/PrunaAI/P-H3-Image-Comfy/resolve/main/text_encoders/p-h3-image_text_encoder_bf16.safetensors",
|
| 1466 |
+
"directory": "text_encoders"
|
| 1467 |
+
}
|
| 1468 |
+
]
|
| 1469 |
+
},
|
| 1470 |
+
"widgets_values": [
|
| 1471 |
+
"p-h3-image_text_encoder_bf16.safetensors",
|
| 1472 |
+
"minimax",
|
| 1473 |
+
"default"
|
| 1474 |
+
],
|
| 1475 |
+
"widgets_values_named": {
|
| 1476 |
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"clip_name": "p-h3-image_text_encoder_bf16.safetensors",
|
| 1477 |
+
"type": "minimax",
|
| 1478 |
+
"device": "default"
|
| 1479 |
+
}
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"id": 29,
|
| 1483 |
+
"type": "VAELoader",
|
| 1484 |
+
"pos": [
|
| 1485 |
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0,
|
| 1486 |
+
692
|
| 1487 |
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|
| 1488 |
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"size": [
|
| 1489 |
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270,
|
| 1490 |
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|
| 1491 |
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],
|
| 1492 |
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|
| 1493 |
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|
| 1494 |
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"mode": 0,
|
| 1495 |
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"inputs": [
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| 1496 |
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{
|
| 1497 |
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"localized_name": "vae_name",
|
| 1498 |
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"name": "vae_name",
|
| 1499 |
+
"type": "COMBO",
|
| 1500 |
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"widget": {
|
| 1501 |
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"name": "vae_name"
|
| 1502 |
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},
|
| 1503 |
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"link": null
|
| 1504 |
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}
|
| 1505 |
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],
|
| 1506 |
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"outputs": [
|
| 1507 |
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{
|
| 1508 |
+
"localized_name": "VAE",
|
| 1509 |
+
"name": "VAE",
|
| 1510 |
+
"type": "VAE",
|
| 1511 |
+
"links": [
|
| 1512 |
+
38,
|
| 1513 |
+
40
|
| 1514 |
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]
|
| 1515 |
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}
|
| 1516 |
+
],
|
| 1517 |
+
"properties": {
|
| 1518 |
+
"Node name for S&R": "VAELoader",
|
| 1519 |
+
"models": [
|
| 1520 |
+
{
|
| 1521 |
+
"name": "p-h3-image_vae_bf16.safetensors",
|
| 1522 |
+
"url": "https://huggingface.co/PrunaAI/P-H3-Image-Comfy/resolve/main/vae/p-h3-image_vae_bf16.safetensors",
|
| 1523 |
+
"directory": "vae"
|
| 1524 |
+
}
|
| 1525 |
+
]
|
| 1526 |
+
},
|
| 1527 |
+
"widgets_values": [
|
| 1528 |
+
"p-h3-image_vae_bf16.safetensors"
|
| 1529 |
+
],
|
| 1530 |
+
"widgets_values_named": {
|
| 1531 |
+
"vae_name": "p-h3-image_vae_bf16.safetensors"
|
| 1532 |
+
}
|
| 1533 |
+
},
|
| 1534 |
+
{
|
| 1535 |
+
"id": 30,
|
| 1536 |
+
"type": "PH3ImageConditioning",
|
| 1537 |
+
"pos": [
|
| 1538 |
+
860,
|
| 1539 |
+
100
|
| 1540 |
+
],
|
| 1541 |
+
"size": [
|
| 1542 |
+
400,
|
| 1543 |
+
236
|
| 1544 |
+
],
|
| 1545 |
+
"flags": {},
|
| 1546 |
+
"order": 22,
|
| 1547 |
+
"mode": 0,
|
| 1548 |
+
"inputs": [
|
| 1549 |
+
{
|
| 1550 |
+
"localized_name": "clip",
|
| 1551 |
+
"name": "clip",
|
| 1552 |
+
"type": "CLIP",
|
| 1553 |
+
"link": 39
|
| 1554 |
+
},
|
| 1555 |
+
{
|
| 1556 |
+
"localized_name": "vae",
|
| 1557 |
+
"name": "vae",
|
| 1558 |
+
"shape": 7,
|
| 1559 |
+
"type": "VAE",
|
| 1560 |
+
"link": 40
|
| 1561 |
+
},
|
| 1562 |
+
{
|
| 1563 |
+
"localized_name": "image_1",
|
| 1564 |
+
"name": "images.image_1",
|
| 1565 |
+
"shape": 7,
|
| 1566 |
+
"type": "IMAGE",
|
| 1567 |
+
"link": 43
|
| 1568 |
+
},
|
| 1569 |
+
{
|
| 1570 |
+
"localized_name": "image_2",
|
| 1571 |
+
"name": "images.image_2",
|
| 1572 |
+
"shape": 7,
|
| 1573 |
+
"type": "IMAGE",
|
| 1574 |
+
"link": 44
|
| 1575 |
+
},
|
| 1576 |
+
{
|
| 1577 |
+
"localized_name": "image_3",
|
| 1578 |
+
"name": "images.image_3",
|
| 1579 |
+
"shape": 7,
|
| 1580 |
+
"type": "IMAGE",
|
| 1581 |
+
"link": null
|
| 1582 |
+
},
|
| 1583 |
+
{
|
| 1584 |
+
"localized_name": "prompt",
|
| 1585 |
+
"name": "prompt",
|
| 1586 |
+
"type": "STRING",
|
| 1587 |
+
"widget": {
|
| 1588 |
+
"name": "prompt"
|
| 1589 |
+
},
|
| 1590 |
+
"link": 41
|
| 1591 |
+
},
|
| 1592 |
+
{
|
| 1593 |
+
"localized_name": "width",
|
| 1594 |
+
"name": "width",
|
| 1595 |
+
"type": "INT",
|
| 1596 |
+
"widget": {
|
| 1597 |
+
"name": "width"
|
| 1598 |
+
},
|
| 1599 |
+
"link": null
|
| 1600 |
+
},
|
| 1601 |
+
{
|
| 1602 |
+
"localized_name": "height",
|
| 1603 |
+
"name": "height",
|
| 1604 |
+
"type": "INT",
|
| 1605 |
+
"widget": {
|
| 1606 |
+
"name": "height"
|
| 1607 |
+
},
|
| 1608 |
+
"link": null
|
| 1609 |
+
}
|
| 1610 |
+
],
|
| 1611 |
+
"outputs": [
|
| 1612 |
+
{
|
| 1613 |
+
"localized_name": "positive",
|
| 1614 |
+
"name": "positive",
|
| 1615 |
+
"type": "CONDITIONING",
|
| 1616 |
+
"links": [
|
| 1617 |
+
45
|
| 1618 |
+
]
|
| 1619 |
+
},
|
| 1620 |
+
{
|
| 1621 |
+
"localized_name": "LATENT",
|
| 1622 |
+
"name": "LATENT",
|
| 1623 |
+
"type": "LATENT",
|
| 1624 |
+
"links": [
|
| 1625 |
+
46
|
| 1626 |
+
]
|
| 1627 |
+
}
|
| 1628 |
+
],
|
| 1629 |
+
"properties": {
|
| 1630 |
+
"Node name for S&R": "PH3ImageConditioning"
|
| 1631 |
+
},
|
| 1632 |
+
"widgets_values": [
|
| 1633 |
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"",
|
| 1634 |
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0,
|
| 1635 |
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0
|
| 1636 |
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],
|
| 1637 |
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"widgets_values_named": {
|
| 1638 |
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"prompt": "",
|
| 1639 |
+
"width": 0,
|
| 1640 |
+
"height": 0
|
| 1641 |
+
}
|
| 1642 |
+
},
|
| 1643 |
+
{
|
| 1644 |
+
"id": 31,
|
| 1645 |
+
"type": "ImageScaleToTotalPixels",
|
| 1646 |
+
"pos": [
|
| 1647 |
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860,
|
| 1648 |
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380
|
| 1649 |
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],
|
| 1650 |
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"size": [
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276.4927734375,
|
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|
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],
|
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|
| 1655 |
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"order": 13,
|
| 1656 |
+
"mode": 0,
|
| 1657 |
+
"inputs": [
|
| 1658 |
+
{
|
| 1659 |
+
"localized_name": "image",
|
| 1660 |
+
"name": "image",
|
| 1661 |
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|
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| 1947 |
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|
| 1948 |
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| 1950 |
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[
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|
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[
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| 1960 |
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|
| 1961 |
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|
| 1962 |
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|
| 1963 |
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|
| 1964 |
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|
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| 1966 |
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[
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| 1968 |
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| 1970 |
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|
| 1974 |
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|
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|
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|
| 1985 |
}
|
| 1986 |
},
|
| 1987 |
"version": 0.4
|
| 1988 |
+
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|
workflows/p-h3-image_lora_text_to_image.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
-
"id": "
|
| 3 |
"revision": 0,
|
| 4 |
-
"last_node_id":
|
| 5 |
-
"last_link_id":
|
| 6 |
"nodes": [
|
| 7 |
{
|
| 8 |
"id": 1,
|
|
@@ -69,225 +69,6 @@
|
|
| 69 |
"weight_dtype": "default"
|
| 70 |
}
|
| 71 |
},
|
| 72 |
-
{
|
| 73 |
-
"id": 2,
|
| 74 |
-
"type": "p-h3-image_text_encoder_loader",
|
| 75 |
-
"pos": [
|
| 76 |
-
0,
|
| 77 |
-
480
|
| 78 |
-
],
|
| 79 |
-
"size": [
|
| 80 |
-
320,
|
| 81 |
-
58
|
| 82 |
-
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|
| 83 |
-
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|
| 84 |
-
"order": 1,
|
| 85 |
-
"mode": 0,
|
| 86 |
-
"inputs": [
|
| 87 |
-
{
|
| 88 |
-
"localized_name": "text_encoder_name",
|
| 89 |
-
"name": "text_encoder_name",
|
| 90 |
-
"type": "COMBO",
|
| 91 |
-
"widget": {
|
| 92 |
-
"name": "text_encoder_name"
|
| 93 |
-
},
|
| 94 |
-
"link": null
|
| 95 |
-
}
|
| 96 |
-
],
|
| 97 |
-
"outputs": [
|
| 98 |
-
{
|
| 99 |
-
"localized_name": "CLIP",
|
| 100 |
-
"name": "CLIP",
|
| 101 |
-
"type": "CLIP",
|
| 102 |
-
"links": [
|
| 103 |
-
1
|
| 104 |
-
]
|
| 105 |
-
}
|
| 106 |
-
],
|
| 107 |
-
"properties": {
|
| 108 |
-
"Node name for S&R": "p-h3-image_text_encoder_loader",
|
| 109 |
-
"cnr_id": "p-h3-image",
|
| 110 |
-
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|
| 111 |
-
"models": [
|
| 112 |
-
{
|
| 113 |
-
"name": "p-h3-image_text_encoder_bf16.safetensors",
|
| 114 |
-
"url": "https://huggingface.co/PrunaAI/p-h3-image-comfy/resolve/main/text_encoders/p-h3-image_text_encoder_bf16.safetensors",
|
| 115 |
-
"directory": "text_encoders"
|
| 116 |
-
}
|
| 117 |
-
]
|
| 118 |
-
},
|
| 119 |
-
"widgets_values": [
|
| 120 |
-
"p-h3-image_text_encoder_bf16.safetensors"
|
| 121 |
-
],
|
| 122 |
-
"widgets_values_named": {
|
| 123 |
-
"text_encoder_name": "p-h3-image_text_encoder_bf16.safetensors"
|
| 124 |
-
}
|
| 125 |
-
},
|
| 126 |
-
{
|
| 127 |
-
"id": 3,
|
| 128 |
-
"type": "p-h3-image_vae_loader",
|
| 129 |
-
"pos": [
|
| 130 |
-
0,
|
| 131 |
-
640
|
| 132 |
-
],
|
| 133 |
-
"size": [
|
| 134 |
-
320,
|
| 135 |
-
58
|
| 136 |
-
],
|
| 137 |
-
"flags": {},
|
| 138 |
-
"order": 2,
|
| 139 |
-
"mode": 0,
|
| 140 |
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"inputs": [
|
| 141 |
-
{
|
| 142 |
-
"localized_name": "vae_name",
|
| 143 |
-
"name": "vae_name",
|
| 144 |
-
"type": "COMBO",
|
| 145 |
-
"widget": {
|
| 146 |
-
"name": "vae_name"
|
| 147 |
-
},
|
| 148 |
-
"link": null
|
| 149 |
-
}
|
| 150 |
-
],
|
| 151 |
-
"outputs": [
|
| 152 |
-
{
|
| 153 |
-
"localized_name": "VAE",
|
| 154 |
-
"name": "VAE",
|
| 155 |
-
"type": "VAE",
|
| 156 |
-
"links": [
|
| 157 |
-
10
|
| 158 |
-
]
|
| 159 |
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}
|
| 160 |
-
],
|
| 161 |
-
"properties": {
|
| 162 |
-
"Node name for S&R": "p-h3-image_vae_loader",
|
| 163 |
-
"cnr_id": "p-h3-image",
|
| 164 |
-
"ver": "0.1.0",
|
| 165 |
-
"models": [
|
| 166 |
-
{
|
| 167 |
-
"name": "p-h3-image_vae_bf16.safetensors",
|
| 168 |
-
"url": "https://huggingface.co/PrunaAI/p-h3-image-comfy/resolve/main/vae/p-h3-image_vae_bf16.safetensors",
|
| 169 |
-
"directory": "vae"
|
| 170 |
-
}
|
| 171 |
-
]
|
| 172 |
-
},
|
| 173 |
-
"widgets_values": [
|
| 174 |
-
"p-h3-image_vae_bf16.safetensors"
|
| 175 |
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],
|
| 176 |
-
"widgets_values_named": {
|
| 177 |
-
"vae_name": "p-h3-image_vae_bf16.safetensors"
|
| 178 |
-
}
|
| 179 |
-
},
|
| 180 |
-
{
|
| 181 |
-
"id": 4,
|
| 182 |
-
"type": "CLIPTextEncode",
|
| 183 |
-
"pos": [
|
| 184 |
-
860,
|
| 185 |
-
100
|
| 186 |
-
],
|
| 187 |
-
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|
| 188 |
-
420,
|
| 189 |
-
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|
| 190 |
-
],
|
| 191 |
-
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|
| 192 |
-
"order": 16,
|
| 193 |
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|
| 194 |
-
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|
| 195 |
-
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|
| 196 |
-
"localized_name": "clip",
|
| 197 |
-
"name": "clip",
|
| 198 |
-
"type": "CLIP",
|
| 199 |
-
"link": 1
|
| 200 |
-
},
|
| 201 |
-
{
|
| 202 |
-
"localized_name": "text",
|
| 203 |
-
"name": "text",
|
| 204 |
-
"type": "STRING",
|
| 205 |
-
"widget": {
|
| 206 |
-
"name": "text"
|
| 207 |
-
},
|
| 208 |
-
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|
| 209 |
-
}
|
| 210 |
-
],
|
| 211 |
-
"outputs": [
|
| 212 |
-
{
|
| 213 |
-
"localized_name": "CONDITIONING",
|
| 214 |
-
"name": "CONDITIONING",
|
| 215 |
-
"type": "CONDITIONING",
|
| 216 |
-
"links": [
|
| 217 |
-
3
|
| 218 |
-
]
|
| 219 |
-
}
|
| 220 |
-
],
|
| 221 |
-
"properties": {
|
| 222 |
-
"Node name for S&R": "CLIPTextEncode",
|
| 223 |
-
"cnr_id": "comfy-core",
|
| 224 |
-
"ver": "0.43.0"
|
| 225 |
-
},
|
| 226 |
-
"widgets_values": [
|
| 227 |
-
"A neon sign that says \"OPEN 24/7\" above a ramen shop at night in the rain, cinematic photo"
|
| 228 |
-
],
|
| 229 |
-
"widgets_values_named": {
|
| 230 |
-
"text": "A neon sign that says \"OPEN 24/7\" above a ramen shop at night in the rain, cinematic photo"
|
| 231 |
-
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|
| 232 |
-
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|
| 233 |
-
{
|
| 234 |
-
"id": 5,
|
| 235 |
-
"type": "p-h3-image_empty_latent",
|
| 236 |
-
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|
| 237 |
-
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|
| 238 |
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|
| 239 |
-
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|
| 240 |
-
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|
| 241 |
-
320,
|
| 242 |
-
82
|
| 243 |
-
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|
| 244 |
-
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|
| 245 |
-
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|
| 246 |
-
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|
| 247 |
-
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|
| 248 |
-
{
|
| 249 |
-
"localized_name": "width",
|
| 250 |
-
"name": "width",
|
| 251 |
-
"type": "INT",
|
| 252 |
-
"widget": {
|
| 253 |
-
"name": "width"
|
| 254 |
-
},
|
| 255 |
-
"link": 26
|
| 256 |
-
},
|
| 257 |
-
{
|
| 258 |
-
"localized_name": "height",
|
| 259 |
-
"name": "height",
|
| 260 |
-
"type": "INT",
|
| 261 |
-
"widget": {
|
| 262 |
-
"name": "height"
|
| 263 |
-
},
|
| 264 |
-
"link": 27
|
| 265 |
-
}
|
| 266 |
-
],
|
| 267 |
-
"outputs": [
|
| 268 |
-
{
|
| 269 |
-
"localized_name": "LATENT",
|
| 270 |
-
"name": "LATENT",
|
| 271 |
-
"type": "LATENT",
|
| 272 |
-
"links": [
|
| 273 |
-
8
|
| 274 |
-
]
|
| 275 |
-
}
|
| 276 |
-
],
|
| 277 |
-
"properties": {
|
| 278 |
-
"Node name for S&R": "p-h3-image_empty_latent",
|
| 279 |
-
"cnr_id": "p-h3-image",
|
| 280 |
-
"ver": "0.1.0"
|
| 281 |
-
},
|
| 282 |
-
"widgets_values": [
|
| 283 |
-
2912,
|
| 284 |
-
2912
|
| 285 |
-
],
|
| 286 |
-
"widgets_values_named": {
|
| 287 |
-
"width": 2912,
|
| 288 |
-
"height": 2912
|
| 289 |
-
}
|
| 290 |
-
},
|
| 291 |
{
|
| 292 |
"id": 6,
|
| 293 |
"type": "ManualSigmas",
|
|
@@ -300,7 +81,7 @@
|
|
| 300 |
82
|
| 301 |
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|
| 302 |
"flags": {},
|
| 303 |
-
"order":
|
| 304 |
"mode": 0,
|
| 305 |
"inputs": [
|
| 306 |
{
|
|
@@ -347,7 +128,7 @@
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"localized_name": "conditioning",
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"name": "conditioning",
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"type": "CONDITIONING",
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"link":
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"localized_name": "latent_image",
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"name": "latent_image",
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"type": "LATENT",
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"link":
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"localized_name": "vae",
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"name": "vae",
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"type": "VAE",
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"type": "LoraLoaderBypassModelOnly",
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"pos": [
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365.1333984375,
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"models": [
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{
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"name": "p-h3-image_lora_bf16.safetensors",
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"url": "https://huggingface.co/PrunaAI/
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"directory": "loras"
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"type": "MiniMaxH3SigmaShift",
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"name": "p-h3-image_prompt_upsampler_bf16.safetensors",
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"url": "https://huggingface.co/PrunaAI/
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"directory": "text_encoders"
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"name": "width",
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"type": "INT",
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"color": "#432",
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"bgcolor": "#653"
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}
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@@ -1332,14 +1328,6 @@
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4,
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@@ -1372,14 +1360,6 @@
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3,
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@@ -1388,14 +1368,6 @@
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@@ -1420,6 +1392,30 @@
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[
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|
@@ -1445,52 +1441,60 @@
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|
@@ -1505,4 +1509,4 @@
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| 1507 |
"version": 0.4
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| 1508 |
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{
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"id": "9d43b9c5-ca8f-4a60-837d-d342773e8b8a",
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| 3 |
"revision": 0,
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"weight_dtype": "default"
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workflows/p-h3-image_text_to_image.json
CHANGED
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| 257 |
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| 258 |
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| 263 |
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| 267 |
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| 268 |
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| 269 |
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| 270 |
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| 271 |
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| 272 |
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| 273 |
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| 274 |
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| 275 |
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| 276 |
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| 277 |
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| 278 |
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| 279 |
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| 280 |
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|
| 281 |
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| 282 |
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| 283 |
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| 285 |
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| 286 |
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| 287 |
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| 288 |
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| 289 |
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| 290 |
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|
| 291 |
{
|
| 292 |
"id": 6,
|
| 293 |
"type": "ManualSigmas",
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|
@@ -300,7 +16,7 @@
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| 300 |
82
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| 301 |
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| 302 |
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| 303 |
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{
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|
@@ -354,13 +70,13 @@
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|
| 354 |
"localized_name": "model",
|
| 355 |
"name": "model",
|
| 356 |
"type": "MODEL",
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| 357 |
-
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| 358 |
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| 359 |
{
|
| 360 |
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|
| 361 |
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| 362 |
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| 363 |
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| 364 |
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| 365 |
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| 366 |
"outputs": [
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|
@@ -391,7 +107,7 @@
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58
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| 392 |
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| 393 |
"flags": {},
|
| 394 |
-
"order":
|
| 395 |
"mode": 0,
|
| 396 |
"inputs": [
|
| 397 |
{
|
|
@@ -438,7 +154,7 @@
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| 438 |
82
|
| 439 |
],
|
| 440 |
"flags": {},
|
| 441 |
-
"order":
|
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"mode": 0,
|
| 443 |
"inputs": [
|
| 444 |
{
|
|
@@ -518,7 +234,7 @@
|
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| 518 |
"localized_name": "latent_image",
|
| 519 |
"name": "latent_image",
|
| 520 |
"type": "LATENT",
|
| 521 |
-
"link":
|
| 522 |
}
|
| 523 |
],
|
| 524 |
"outputs": [
|
|
@@ -568,7 +284,7 @@
|
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| 568 |
"localized_name": "vae",
|
| 569 |
"name": "vae",
|
| 570 |
"type": "VAE",
|
| 571 |
-
"link":
|
| 572 |
}
|
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],
|
| 574 |
"outputs": [
|
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@@ -650,7 +366,7 @@
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],
|
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"flags": {},
|
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"order":
|
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"inputs": [
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{
|
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@@ -700,7 +416,7 @@
|
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| 700 |
"models": [
|
| 701 |
{
|
| 702 |
"name": "p-h3-image_prompt_upsampler_bf16.safetensors",
|
| 703 |
-
"url": "https://huggingface.co/PrunaAI/
|
| 704 |
"directory": "text_encoders"
|
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}
|
| 706 |
]
|
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@@ -728,7 +444,7 @@
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"flags": {},
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{
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|
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"flags": {},
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"order":
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"inputs": [
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{
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@@ -1051,8 +767,8 @@
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"name": "output",
|
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"type": "STRING",
|
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"links": [
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|
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{
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@@ -1126,7 +842,7 @@
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"name": "width",
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"type": "INT",
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"links": [
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{
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@@ -1134,7 +850,7 @@
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"name": "height",
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"type": "INT",
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"links": [
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-
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@@ -1164,7 +880,7 @@
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"mode": 0,
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"inputs": [],
|
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"outputs": [],
|
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@@ -1178,33 +894,357 @@
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},
|
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"color": "#432",
|
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"bgcolor": "#653"
|
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-
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| 1208 |
[
|
| 1209 |
4,
|
| 1210 |
9,
|
|
@@ -1237,14 +1277,6 @@
|
|
| 1237 |
3,
|
| 1238 |
"SIGMAS"
|
| 1239 |
],
|
| 1240 |
-
[
|
| 1241 |
-
8,
|
| 1242 |
-
5,
|
| 1243 |
-
0,
|
| 1244 |
-
10,
|
| 1245 |
-
4,
|
| 1246 |
-
"LATENT"
|
| 1247 |
-
],
|
| 1248 |
[
|
| 1249 |
9,
|
| 1250 |
10,
|
|
@@ -1253,14 +1285,6 @@
|
|
| 1253 |
0,
|
| 1254 |
"LATENT"
|
| 1255 |
],
|
| 1256 |
-
[
|
| 1257 |
-
10,
|
| 1258 |
-
3,
|
| 1259 |
-
0,
|
| 1260 |
-
11,
|
| 1261 |
-
1,
|
| 1262 |
-
"VAE"
|
| 1263 |
-
],
|
| 1264 |
[
|
| 1265 |
11,
|
| 1266 |
11,
|
|
@@ -1269,6 +1293,30 @@
|
|
| 1269 |
0,
|
| 1270 |
"IMAGE"
|
| 1271 |
],
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| 1272 |
[
|
| 1273 |
17,
|
| 1274 |
16,
|
|
@@ -1294,64 +1342,88 @@
|
|
| 1294 |
"STRING"
|
| 1295 |
],
|
| 1296 |
[
|
| 1297 |
-
|
| 1298 |
-
|
| 1299 |
0,
|
| 1300 |
-
|
| 1301 |
0,
|
| 1302 |
-
"
|
| 1303 |
],
|
| 1304 |
[
|
| 1305 |
-
|
| 1306 |
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|
| 1307 |
0,
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| 1308 |
-
|
| 1309 |
-
|
| 1310 |
-
"
|
| 1311 |
],
|
| 1312 |
[
|
| 1313 |
-
|
| 1314 |
-
|
| 1315 |
0,
|
| 1316 |
-
|
| 1317 |
1,
|
| 1318 |
-
"
|
| 1319 |
],
|
| 1320 |
[
|
| 1321 |
-
|
| 1322 |
-
|
| 1323 |
0,
|
| 1324 |
-
|
| 1325 |
0,
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|
| 1326 |
"STRING"
|
| 1327 |
],
|
| 1328 |
[
|
| 1329 |
-
|
| 1330 |
20,
|
| 1331 |
0,
|
| 1332 |
-
|
| 1333 |
-
|
| 1334 |
"INT"
|
| 1335 |
],
|
| 1336 |
[
|
| 1337 |
-
|
| 1338 |
20,
|
| 1339 |
1,
|
|
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|
| 1340 |
5,
|
| 1341 |
-
1,
|
| 1342 |
"INT"
|
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| 1343 |
]
|
| 1344 |
],
|
| 1345 |
"groups": [],
|
| 1346 |
"config": {},
|
| 1347 |
"extra": {
|
| 1348 |
"ds": {
|
| 1349 |
-
"scale": 0.
|
| 1350 |
"offset": [
|
| 1351 |
-
|
| 1352 |
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|
| 1353 |
]
|
| 1354 |
}
|
| 1355 |
},
|
| 1356 |
"version": 0.4
|
| 1357 |
-
}
|
|
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|
| 1 |
{
|
| 2 |
+
"id": "1389ab63-de89-485a-8c98-e85142253663",
|
| 3 |
"revision": 0,
|
| 4 |
+
"last_node_id": 26,
|
| 5 |
+
"last_link_id": 34,
|
| 6 |
"nodes": [
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