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/text_encoders/T5/umt5-xxl-encoder-Q6_K.gguf from UmeAiRT/ComfyUI-Auto-Installer-Assets: direct link, hf CLI and curl.
- Browser
- Download file 4.67 GB
-
https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/35f31140e9b3e5989dc09ff286670b3ad54c2ea0/models/text_encoders/T5/umt5-xxl-encoder-Q6_K.gguf
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@35f31140e9b3e5989dc09ff286670b3ad54c2ea0/models/text_encoders/T5/umt5-xxl-encoder-Q6_K.gguf
-
curl -L -o umt5-xxl-encoder-Q6_K.gguf https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/35f31140e9b3e5989dc09ff286670b3ad54c2ea0/models/text_encoders/T5/umt5-xxl-encoder-Q6_K.gguf
4.67 GB
- Xet hash:
- 8d33064ea444e59977cdb3a6a482028d851a371e940374bf74e92d49794381e8
- Size of remote file:
- 4.67 GB
- SHA256:
- 9209b4c77b34ad8cf3f06b04c6eaa27e7beeebb348a31f85e3b38a1d719b09ed
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