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
Update README.md
Browse files
README.md
CHANGED
|
@@ -50,7 +50,7 @@ tags:
|
|
| 50 |
</p>
|
| 51 |
<div align="center">
|
| 52 |
|
| 53 |
-
<h1 style="color: #9334E9;">
|
| 54 |
|
| 55 |
<h2>ComfyUI files for p-h3-image, based on MiniMax-H3</h2>
|
| 56 |
|
|
@@ -66,7 +66,7 @@ tags:
|
|
| 66 |
|
| 67 |
</div>
|
| 68 |
|
| 69 |
-
This repository holds the ComfyUI files for **
|
| 70 |
editing based on [MiniMax-H3](https://huggingface.co/MiniMaxAI/MiniMax-H3). It renders 8-megapixel images in 8 steps
|
| 71 |
without CFG and edits with up to 8 input images. Every component comes in bf16 and in ComfyUI's native int8 and 4-bit
|
| 72 |
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
|
|
|
|
| 50 |
</p>
|
| 51 |
<div align="center">
|
| 52 |
|
| 53 |
+
<h1 style="color: #9334E9;">P-H3-Image</h1>
|
| 54 |
|
| 55 |
<h2>ComfyUI files for p-h3-image, based on MiniMax-H3</h2>
|
| 56 |
|
|
|
|
| 66 |
|
| 67 |
</div>
|
| 68 |
|
| 69 |
+
This repository holds the ComfyUI files for **P-H3-Image**, an image model for text-to-image generation and image
|
| 70 |
editing based on [MiniMax-H3](https://huggingface.co/MiniMaxAI/MiniMax-H3). It renders 8-megapixel images in 8 steps
|
| 71 |
without CFG and edits with up to 8 input images. Every component comes in bf16 and in ComfyUI's native int8 and 4-bit
|
| 72 |
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
|