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/t5-v1_1-xxl-encoder-Q3_K_S.gguf from UmeAiRT/ComfyUI-Auto-Installer-Assets: direct link, hf CLI and curl.
- Browser
- Download file 2.1 GB
-
https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/32380fdf6e1dabc6cc887b6d4379399f5b047853/models/clip/t5-v1_1-xxl-encoder-Q3_K_S.gguf
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@32380fdf6e1dabc6cc887b6d4379399f5b047853/models/clip/t5-v1_1-xxl-encoder-Q3_K_S.gguf
-
curl -L -o t5-v1_1-xxl-encoder-Q3_K_S.gguf https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/32380fdf6e1dabc6cc887b6d4379399f5b047853/models/clip/t5-v1_1-xxl-encoder-Q3_K_S.gguf
2.1 GB
- Xet hash:
- a32406a0dfcc527cbbeaa42d1ed2357783f88951e01094c6672a8ee8a7bbf5b7
- Size of remote file:
- 2.1 GB
- SHA256:
- 31ebe18e901bfb6e5709a20ec1c95fce29bce2b9545073231e0f909a53239f5c
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