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/controlnet/diffusion_pytorch_model_promax.safetensors from UmeAiRT/ComfyUI-Auto-Installer-Assets: direct link, hf CLI and curl.
- Browser
- Download file 2.51 GB
-
https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/9f6718dc05d22b7b42a9b0a7f3fcc2f55aca8243/models/controlnet/diffusion_pytorch_model_promax.safetensors
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@9f6718dc05d22b7b42a9b0a7f3fcc2f55aca8243/models/controlnet/diffusion_pytorch_model_promax.safetensors
-
curl -L -o diffusion_pytorch_model_promax.safetensors https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/9f6718dc05d22b7b42a9b0a7f3fcc2f55aca8243/models/controlnet/diffusion_pytorch_model_promax.safetensors
2.51 GB
- Xet hash:
- 18f09d4b6af83f3650edf3d17fdcc12fd74bc31bacff3c55d291f4bde8e0709e
- Size of remote file:
- 2.51 GB
- SHA256:
- 0d07f49f1b6b514b1ee0c346757e625da83656dff325ee45410d28382d9a4ded
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