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 /tensorrt /upscaler /4x-WTP-UDS-Esrgan_fp16_1x3x256x256_1x3x512x512_1x3x1280x1280_10.10.0.31.trt
- Xet hash:
- 593ac073680f261bba42024f103da6500694768a6e2235494ffa0c7d9264e156
- Size of remote file:
- 37 MB
- SHA256:
- 9cd050474654c4d3e2941abdee05f295d407f68a513d1d6cfc014479c637c785
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