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 models/preprocessors/hed/ControlNetHED.pth from UmeAiRT/ComfyUI-Auto-Installer-Assets: direct link, hf CLI and curl.
- Browser
- Download file 29.4 MB
-
https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/c047a806ae0e656247a3215121b77d6a121a8414/models/preprocessors/hed/ControlNetHED.pth
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@c047a806ae0e656247a3215121b77d6a121a8414/models/preprocessors/hed/ControlNetHED.pth
-
curl -L -o ControlNetHED.pth https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/c047a806ae0e656247a3215121b77d6a121a8414/models/preprocessors/hed/ControlNetHED.pth
29.4 MB
- Xet hash:
- 086f48a08a22c1b6dd38c493e7bcca515f4d2fba543e26cd315c93d9fe332ba3
- Size of remote file:
- 29.4 MB
- SHA256:
- 5ca93762ffd68a29fee1af9d495bf6aab80ae86f08905fb35472a083a4c7a8fa
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