update-for-launch

README.md

@@ -23,7 +23,7 @@ tags:
 ---
 <!-- header start -->
 <p align="center">
-  <img src="assets/p-h3-image-comfy.jpg" width="800">
+  <img src="assets/P-H3-Image-comfy.jpg" width="800">
 </p>
 <!-- header end -->
 
@@ -50,9 +50,9 @@ tags:
 </p>
 <div align="center">
 
-<h1 style="color: #9334E9;">p-h3-image</h1>
+<h1 style="color: #9334E9;">P-H3-Image</h1>
 
-<h2>ComfyUI files for p-h3-image, based on MiniMax-H3</h2>
+<h2>ComfyUI files for P-H3-Image, based on MiniMax-H3</h2>
 
 <h3>
   <span style="color: #9334E9;">bf16, int8 and w4a8</span>
@@ -66,14 +66,14 @@ tags:
 
 </div>
 
-This repository holds the ComfyUI files for **p-h3-image**, an image model for text-to-image generation and image
+This repository holds the ComfyUI files for **P-H3-Image**, an image model for text-to-image generation and image
 editing based on [MiniMax-H3](https://huggingface.co/MiniMaxAI/MiniMax-H3). It renders 8-megapixel images in 8 steps
 without CFG and edits with up to 8 input images. Every component comes in bf16 and in ComfyUI's native int8 and 4-bit
 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
 MiniMax-H3.
 
 The nodes are in [PrunaAI/comfyui-p-h3-image](https://github.com/PrunaAI/comfyui-p-h3-image). The diffusers pipeline is
-in [PrunaAI/p-h3-image](https://huggingface.co/PrunaAI/p-h3-image).
+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).
 
 ## Quickstart
 
@@ -87,13 +87,13 @@ in [PrunaAI/p-h3-image](https://huggingface.co/PrunaAI/p-h3-image).
    peaks at about 56 GB of VRAM:
 
    ```bash
-   hf download PrunaAI/p-h3-image-comfy --include "diffusion_models/p-h3-image_bf16.safetensors" "text_encoders/p-h3-image_text_encoder_bf16.safetensors" "text_encoders/p-h3-image_prompt_upsampler_bf16.safetensors" "vae/p-h3-image_vae_bf16.safetensors" --local-dir ComfyUI/models
+   hf download PrunaAI/P-H3-Image-comfy --include "diffusion_models/p-h3-image_bf16.safetensors" "text_encoders/p-h3-image_text_encoder_bf16.safetensors" "text_encoders/p-h3-image_prompt_upsampler_bf16.safetensors" "vae/p-h3-image_vae_bf16.safetensors" --local-dir ComfyUI/models
    ```
 
    The smallest set, a 20 GB download plus the prompt upsampler, peaks at about 21 GB of VRAM:
 
    ```bash
-   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
+   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
    ```
 
 3. **Open a workflow** from `workflows/` (also under Templates in ComfyUI), type a short request and run. The
@@ -179,7 +179,7 @@ these sizes. Edits work best at 4 or 8 MP. The Edit node scales `image_1`, the i
 
 ## Prompt upsampler
 
-p-h3-image is sensitive to prompting and renders full, specific prompts much better than short requests. The prompt
+P-H3-Image is sensitive to prompting and renders full, specific prompts much better than short requests. The prompt
 upsampler, based on Qwen3.5-9B, turns a one-line request into that prompt, and all example workflows use it. It thinks
 about the request first and then writes the prompt.
 
@@ -190,10 +190,10 @@ Text, with greedy decoding, so a request always gives the same prompt.
   on two lines, and Generate Text runs with `thinking` on. Keep the aspect ratio the same as in Resolution Selector.
 - **Edits.** Format Text writes the upsampler's input with a `<Picture N>` block for every image, and the images reach
   Generate Text through Batch Images: `image_1` at 1 MP, the references padded to its size. The result is the edit
-  prompt for the p-h3-image Edit node.
+  prompt for the P-H3-Image Edit node.
 - **Use prompt upsampler**, an If/Else switch, set to false sends the request to the model as it is.
 
-The upsampler runs before p-h3-image, and ComfyUI moves it out of VRAM when p-h3-image needs the memory. Its output is
+The upsampler runs before P-H3-Image, and ComfyUI moves it out of VRAM when P-H3-Image needs the memory. Its output is
 cached, so it only runs again when the request or the images change.
 
 | Upsampler file | Size | Peak VRAM | Time per prompt, L40S |
@@ -214,16 +214,16 @@ like, such as "the hat from the second photo".
   <img src="assets/multi_image.jpg" width="100%">
 </p>
 
-*Top, eight public-domain portraits and the dinner party p-h3-image composed from them, from a one-sentence request.
+*Top, eight public-domain portraits and the dinner party P-H3-Image composed from them, from a one-sentence request.
 Bottom, eight scientists at a poker table, seven presidents wading through the swamp with an astronaut, and characters
 from our own renders in the same swamp.*
 
 ## Already have MiniMax-H3?
 
-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
+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
 transformer without a second large download. Load `minimax_h3_fl2va_bf16.safetensors` from
 [Comfy-Org/MiniMax-H3](https://huggingface.co/Comfy-Org/MiniMax-H3) (the pruned and quantized FL2VA files work too),
-apply the LoRA with the p-h3-image LoRA Loader at strength 1.0, and start from the `lora` workflows.
+apply the LoRA with the P-H3-Image LoRA Loader at strength 1.0, and start from the `lora` workflows.
 
 ## Limitations
 
@@ -236,7 +236,7 @@ apply the LoRA with the p-h3-image LoRA Loader at strength 1.0, and start from t
 
 ## License
 
-The p-h3-image weights are based on MiniMax-H3 and released under the [MiniMax H3 Community License](LICENSE). Please
+The P-H3-Image weights are based on MiniMax-H3 and released under the [MiniMax H3 Community License](LICENSE). Please
 read it before use. Among other terms, it excludes the European Union, the United Kingdom, the Republic of Korea and
 the United States unless you have a separate license from MiniMax, and products built on it must show "Powered by
 MiniMax H3". The text encoder's Qwen3-VL-4B parts and the prompt upsampler, based on Qwen3.5-9B, are under the