Image-to-Image
Diffusers
Safetensors
StableDiffusionInpaintPipeline
stable-diffusion
remote-sensing
semantic-segmentation
diffusion-models
few-shot
sat-imagery
StableDiffusionInpaintPipeline
Instructions to use BiliSakura/RS-Painter-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/RS-Painter-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import AutoPipelineForInpainting from diffusers.utils import load_image # switch to "mps" for apple devices pipe = AutoPipelineForInpainting.from_pretrained("BiliSakura/RS-Painter-Diffusers", dtype=torch.float16, device_map="cuda") img_url = "https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo.png" mask_url = "https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo_mask.png" image = load_image(img_url).resize((1024, 1024)) mask_image = load_image(mask_url).resize((1024, 1024)) prompt = "a tiger sitting on a park bench" generator = torch.Generator(device="cuda").manual_seed(0) image = pipe( prompt=prompt, image=image, mask_image=mask_image, guidance_scale=8.0, num_inference_steps=20, # steps between 15 and 30 work well for us strength=0.99, # make sure to use `strength` below 1.0 generator=generator, ).images[0] - Notebooks
- Google Colab
- Kaggle
Download text_encoder/model.safetensors from BiliSakura/RS-Painter-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/BiliSakura/RS-Painter-Diffusers/resolve/main/text_encoder/model.safetensors
- Command line
-
hf download hf://BiliSakura/RS-Painter-Diffusers/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/BiliSakura/RS-Painter-Diffusers/resolve/main/text_encoder/model.safetensors
492 MB
- Xet hash:
- c48dd51f1705da616fadf9da409a85d5ae3f038a6b6c8e2f549c879af7d0b678
- Size of remote file:
- 492 MB
- SHA256:
- e83c0f4e50e14c386d6237b40cd4f1ab49d101b700c9e49b507438254d7fe6f5
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