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-Q6_K.gguf from UmeAiRT/ComfyUI-Auto-Installer-Assets: direct link, hf CLI and curl.
- Browser
- Download file 3.91 GB
-
https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/6abc987d8154a02cc056cbf71c8efa3e0a23eb72/models/clip/t5-v1_1-xxl-encoder-Q6_K.gguf
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@6abc987d8154a02cc056cbf71c8efa3e0a23eb72/models/clip/t5-v1_1-xxl-encoder-Q6_K.gguf
-
curl -L -o t5-v1_1-xxl-encoder-Q6_K.gguf https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/6abc987d8154a02cc056cbf71c8efa3e0a23eb72/models/clip/t5-v1_1-xxl-encoder-Q6_K.gguf
3.91 GB
- Xet hash:
- 7eed92b11d4796f0d98311643166aae09dc56c56efeb91c098fb182299040665
- Size of remote file:
- 3.91 GB
- SHA256:
- d80116f6fc39801e4eef425a584e7a7a41cbe5119797bef2dad67299909fe2ae
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