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
ComfyUI-Auto-Installer-Assets / models /text_encoders /T5 /umt5-xxl-encoder-fp8-e4m3fn-scaled.safetensors
Download models/text_encoders/T5/umt5-xxl-encoder-fp8-e4m3fn-scaled.safetensors from UmeAiRT/ComfyUI-Auto-Installer-Assets: direct link, hf CLI and curl.
- Browser
- Download file 6.74 GB
-
https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/d7fd98a8bc27f1dc4eeaff0a33fce792f42fd71c/models/text_encoders/T5/umt5-xxl-encoder-fp8-e4m3fn-scaled.safetensors
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@d7fd98a8bc27f1dc4eeaff0a33fce792f42fd71c/models/text_encoders/T5/umt5-xxl-encoder-fp8-e4m3fn-scaled.safetensors
-
curl -L -o umt5-xxl-encoder-fp8-e4m3fn-scaled.safetensors https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/d7fd98a8bc27f1dc4eeaff0a33fce792f42fd71c/models/text_encoders/T5/umt5-xxl-encoder-fp8-e4m3fn-scaled.safetensors
6.74 GB
- Xet hash:
- b94ab462ac11c85e60e2e9bd4045d8eaad6f38186936cb6f8909ca43f6bdd348
- Size of remote file:
- 6.74 GB
- SHA256:
- c3355d30191f1f066b26d93fba017ae9809dce6c627dda5f6a66eaa651204f68
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