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/upscale_models/4x_NMKD-Siax_200k.pth from UmeAiRT/ComfyUI-Auto-Installer-Assets: direct link, hf CLI and curl.
- Browser
- Download file 67 MB
-
https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/f43efec4df1da64641df1286b2d6ff94d1c25f71/models/upscale_models/4x_NMKD-Siax_200k.pth
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@f43efec4df1da64641df1286b2d6ff94d1c25f71/models/upscale_models/4x_NMKD-Siax_200k.pth
-
curl -L -o 4x_NMKD-Siax_200k.pth https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/f43efec4df1da64641df1286b2d6ff94d1c25f71/models/upscale_models/4x_NMKD-Siax_200k.pth
67 MB
- Xet hash:
- 06f3805d3fb3072170aecd80c91bb6bef982a212735ece10303469d56f516135
- Size of remote file:
- 67 MB
- SHA256:
- 560424d9f68625713fc47e9e7289a98aabe1d744e1cd6a9ae5a35e9957fd127e
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