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/sageattn3-1.0.0-cp313-cp313-linux_x86_64.whl from UmeAiRT/ComfyUI-Auto-Installer-Assets: direct link, hf CLI and curl.
- Browser
- Download file 1.36 MB
-
https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/d7fd98a8bc27f1dc4eeaff0a33fce792f42fd71c/whl/sageattn3-1.0.0-cp313-cp313-linux_x86_64.whl
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@d7fd98a8bc27f1dc4eeaff0a33fce792f42fd71c/whl/sageattn3-1.0.0-cp313-cp313-linux_x86_64.whl
-
curl -L -o sageattn3-1.0.0-cp313-cp313-linux_x86_64.whl https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/d7fd98a8bc27f1dc4eeaff0a33fce792f42fd71c/whl/sageattn3-1.0.0-cp313-cp313-linux_x86_64.whl
1.36 MB
- Xet hash:
- 9f43445e2ef519d252f7a300c8fc23c1001cd832665a2f8b23d328827a516d85
- Size of remote file:
- 1.36 MB
- SHA256:
- 8c67ef3b02ed808fb2ef17e473fa34a112b370c666c9b1793c39515f780a296a
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