Instructions to use YiYiXu/test_uploadfolder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use YiYiXu/test_uploadfolder with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("YiYiXu/test_uploadfolder", 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 checkpoint-100/controlnet/diffusion_pytorch_model.bin from YiYiXu/test_uploadfolder: direct link, hf CLI and curl.
- Browser
- Download file 1.45 GB
-
https://huggingface.co/YiYiXu/test_uploadfolder/resolve/main/checkpoint-100/controlnet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://YiYiXu/test_uploadfolder/checkpoint-100/controlnet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/YiYiXu/test_uploadfolder/resolve/main/checkpoint-100/controlnet/diffusion_pytorch_model.bin
1.45 GB
- Xet hash:
- 12a3fc7280bc2b86f6f2f77964dc76e2174a54dc45402d50645b56222ab07b57
- Size of remote file:
- 1.45 GB
- SHA256:
- b0d6d320a920aa9a5c660d1ad7035968775a381f120fefcbe4dfab64ecbc2e50
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