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 /Z-IMG /z_image_turbo_fp8_e4m3fn.safetensors
- Xet hash:
- 3fe5a273184d06510d2e7bc9f24b3091e7f4c9e82ff23993aee0f35e5733715a
- Size of remote file:
- 6.15 GB
- SHA256:
- 56c06ad6cb80941e8203d3e248a16ad1263499ba870f2c1931aa724fdc7c25d3
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