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 /diffusion_models /WAN /wan2.1_t2v_1.3B_fp8_e4m3fn.safetensors
- Xet hash:
- 091182d5bb270d54fc64eadfab21a876d26b69dea9da218273e88eacbd53e397
- Size of remote file:
- 1.47 GB
- SHA256:
- a913893ce03cd6e3d48853258f4521f054db6d72b59d67359ea0b138d8071812
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