Instructions to use Fantasy-Studio/Paint-by-Example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Fantasy-Studio/Paint-by-Example with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Fantasy-Studio/Paint-by-Example", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download unet/diffusion_pytorch_model.bin from Fantasy-Studio/Paint-by-Example: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/Fantasy-Studio/Paint-by-Example/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Fantasy-Studio/Paint-by-Example/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Fantasy-Studio/Paint-by-Example/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- b1ee82be91d2e786716a58c24d148195263eb94ca8eb3b05ab3c089f6421e673
- Size of remote file:
- 3.44 GB
- SHA256:
- 2020aa8102bd6ea977738454f87d8e08483271469bfa1ebd1b62534f0cf7d371
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