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/clip/umt5-xxl-encoder-Q5_K_M.gguf from UmeAiRT/ComfyUI-Auto-Installer-Assets: direct link, hf CLI and curl.
- Browser
- Download file 4.15 GB
-
https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/32380fdf6e1dabc6cc887b6d4379399f5b047853/models/clip/umt5-xxl-encoder-Q5_K_M.gguf
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@32380fdf6e1dabc6cc887b6d4379399f5b047853/models/clip/umt5-xxl-encoder-Q5_K_M.gguf
-
curl -L -o umt5-xxl-encoder-Q5_K_M.gguf https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/32380fdf6e1dabc6cc887b6d4379399f5b047853/models/clip/umt5-xxl-encoder-Q5_K_M.gguf
4.15 GB
- Xet hash:
- e3545d4ad437f643c2be2ea875b971456791ecc9b1995f8bc575c935b8d3df3b
- Size of remote file:
- 4.15 GB
- SHA256:
- eaea358bb438c5d211721a4feecc162000e3636e9cb96f51e216f1f44ebd12ce
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