Update README.md

README.md

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-# Stable Diffusion 3 Inpainting Pipeline
-
-This is the implementation of `Stable Diffusion 3 Inpainting Pipeline`.
-
-| input image | input mask image | output |
-|:-------------------------:|:-------------------------:|:-------------------------:|
-|<img src="./overture-creations-5sI6fQgYIuo.png" width = "400" /> | <img src="./overture-creations-5sI6fQgYIuo_mask.png" width = "400" /> | <img src="./overture-creations-5sI6fQgYIuo_output.jpg" width = "400" /> |
-|<img src="./overture-creations-5sI6fQgYIuo.png" width = "400" /> | <img src="./overture-creations-5sI6fQgYIuo_mask.png" width = "400" /> | <img src="./overture-creations-5sI6fQgYIuo_tiger.jpg" width = "400" /> |
-|<img src="./overture-creations-5sI6fQgYIuo.png" width = "400" /> | <img src="./overture-creations-5sI6fQgYIuo_mask.png" width = "400" /> | <img src="./overture-creations-5sI6fQgYIuo_panda.jpg" width = "400" /> |
-
-**Please ensure that the version of diffusers >= 0.29.1**
-
-## Model
-
-[Stable Diffusion 3 Medium](https://stability.ai/news/stable-diffusion-3-medium) is a Multimodal Diffusion Transformer (MMDiT) text-to-image model that features greatly improved performance in image quality, typography, complex prompt understanding, and resource-efficiency.
-
-For more technical details, please refer to the [Research paper](https://stability.ai/news/stable-diffusion-3-research-paper).
-
-Please note: this model is released under the Stability Non-Commercial Research Community License. For a Creator License or an Enterprise License visit Stability.ai or [contact us](https://stability.ai/license) for commercial licensing details.
-
-
-### Model Description
-
-- **Developed by:** Stability AI
-- **Model type:** MMDiT text-to-image generative model
-- **Model Description:** This is a model that can be used to generate images based on text prompts. It is a Multimodal Diffusion Transformer
-(https://arxiv.org/abs/2403.03206) that uses three fixed, pretrained text encoders 
-([OpenCLIP-ViT/G](https://github.com/mlfoundations/open_clip), [CLIP-ViT/L](https://github.com/openai/CLIP/tree/main) and [T5-xxl](https://huggingface.co/google/t5-v1_1-xxl))
-
-## Demo
-
-Make sure you upgrade to the latest version of diffusers: pip install -U diffusers. And then you can run:
-
-```python
-import torch
-from torchvision import transforms
-
-from pipeline_stable_diffusion_3_inpaint import StableDiffusion3InpaintPipeline
-from diffusers.utils import load_image
-
-def preprocess_image(image):
-    image = image.convert("RGB")
-    image = transforms.CenterCrop((image.size[1] // 64 * 64, image.size[0] // 64 * 64))(image)
-    image = transforms.ToTensor()(image)
-    image = image.unsqueeze(0).to("cuda")
-    return image
-
-def preprocess_mask(mask):
-    mask = mask.convert("L")
-    mask = transforms.CenterCrop((mask.size[1] // 64 * 64, mask.size[0] // 64 * 64))(mask)
-    mask = transforms.ToTensor()(mask)
-    mask = mask.to("cuda")
-    return mask
-
-pipe = StableDiffusion3InpaintPipeline.from_pretrained(
-    "stabilityai/stable-diffusion-3-medium-diffusers",
-    torch_dtype=torch.float16,
-).to("cuda")
-
-prompt = "Face of a yellow cat, high resolution, sitting on a park bench"
-source_image = load_image(
-    "./overture-creations-5sI6fQgYIuo.png"
-)
-source = preprocess_image(source_image)
-mask = preprocess_mask(
-    load_image(
-        "./overture-creations-5sI6fQgYIuo_mask.png"
-    )
-)
-
-image = pipe(
-    prompt=prompt,
-    image=source,
-    mask_image=mask,
-    height=1024,
-    width=1024,
-    num_inference_steps=50,
-    guidance_scale=7.0,
-    strength=0.6,
-).images[0]
-
-image.save("overture-creations-5sI6fQgYIuo_output.jpg")
-```
-
-
+pip install diffusers transformers torch accelerate safetensors