Instructions to use UmeAiRT/ComfyUI-Auto-Installer-Assets with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use UmeAiRT/ComfyUI-Auto-Installer-Assets with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("UmeAiRT/ComfyUI-Auto-Installer-Assets", 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 whl/sageattention-2.2.0-cp311-cp311-linux_x86_64.whl from UmeAiRT/ComfyUI-Auto-Installer-Assets: direct link, hf CLI and curl.
- Browser
- Download file 9.86 MB
-
https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/50f2c97ee2a7607a93d0d6e97b40f4f705fb3fa4/whl/sageattention-2.2.0-cp311-cp311-linux_x86_64.whl
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@50f2c97ee2a7607a93d0d6e97b40f4f705fb3fa4/whl/sageattention-2.2.0-cp311-cp311-linux_x86_64.whl
-
curl -L -o sageattention-2.2.0-cp311-cp311-linux_x86_64.whl https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/50f2c97ee2a7607a93d0d6e97b40f4f705fb3fa4/whl/sageattention-2.2.0-cp311-cp311-linux_x86_64.whl
9.86 MB
- Xet hash:
- 807e0e0a0574dde8e28afd74b1847ccd2df1c5ca3fb3bc1ebc9d153c2e05f933
- Size of remote file:
- 9.86 MB
- SHA256:
- cc719bf877f200110672da2ed5fd782819fa65fc3c0edc30cfc129b2739c06d5
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