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/t5-v1_1-xxl-encoder-Q5_K_M.gguf from UmeAiRT/ComfyUI-Auto-Installer-Assets: direct link, hf CLI and curl.
- Browser
- Download file 3.39 GB
-
https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/50f2c97ee2a7607a93d0d6e97b40f4f705fb3fa4/models/text_encoders/T5/t5-v1_1-xxl-encoder-Q5_K_M.gguf
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@50f2c97ee2a7607a93d0d6e97b40f4f705fb3fa4/models/text_encoders/T5/t5-v1_1-xxl-encoder-Q5_K_M.gguf
-
curl -L -o t5-v1_1-xxl-encoder-Q5_K_M.gguf https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/50f2c97ee2a7607a93d0d6e97b40f4f705fb3fa4/models/text_encoders/T5/t5-v1_1-xxl-encoder-Q5_K_M.gguf
3.39 GB
- Xet hash:
- bac848c747ca0615f95217739d4f8180d8d2950a44127f2b39d725e9152d6cc3
- Size of remote file:
- 3.39 GB
- SHA256:
- b51cbb10b1a7aac6dd1c3b62f0ed908bfd06e0b42d2f3577d43e061361f51dae
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