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_L.gguf from UmeAiRT/ComfyUI-Auto-Installer-Assets: direct link, hf CLI and curl.
- Browser
- Download file 2.46 GB
-
https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/a04fa2277bfba5a0d05585fe7daa5d75f5f0382d/models/clip/t5-v1_1-xxl-encoder-Q3_K_L.gguf
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@a04fa2277bfba5a0d05585fe7daa5d75f5f0382d/models/clip/t5-v1_1-xxl-encoder-Q3_K_L.gguf
-
curl -L -o t5-v1_1-xxl-encoder-Q3_K_L.gguf https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/a04fa2277bfba5a0d05585fe7daa5d75f5f0382d/models/clip/t5-v1_1-xxl-encoder-Q3_K_L.gguf
2.46 GB
- Xet hash:
- cd90a8130e98c25b9e62803da9408307ee2030aeb70223c724eb0a3cb4e3cb60
- Size of remote file:
- 2.46 GB
- SHA256:
- 8f5ab879234384235d56732f0cda07bf8801f30a49645248c5bfdeeb1665f64b
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