Instructions to use patrickvonplaten/new_inpaint_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use patrickvonplaten/new_inpaint_test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("patrickvonplaten/new_inpaint_test", 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 image_encoder/pytorch_model.bin from patrickvonplaten/new_inpaint_test: direct link, hf CLI and curl.
- Browser
- Download file 1.47 GB
-
https://huggingface.co/patrickvonplaten/new_inpaint_test/resolve/d0c7686bc0d01c0db5e6dedee0c91017732a821b/image_encoder/pytorch_model.bin
- Command line
-
hf download hf://patrickvonplaten/new_inpaint_test@d0c7686bc0d01c0db5e6dedee0c91017732a821b/image_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/patrickvonplaten/new_inpaint_test/resolve/d0c7686bc0d01c0db5e6dedee0c91017732a821b/image_encoder/pytorch_model.bin
1.47 GB
- Xet hash:
- 2d4b6212b19922e52b8af396e2a5c4a6b8ff7fc05a9d79e2321c991414e3b8c5
- Size of remote file:
- 1.47 GB
- SHA256:
- 296d26d0c844328727c58870e169183c0d23a6d82ecd3467a8484610f3be6146
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