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 /Krea-2 /krea2_turbo_fp8_scaled.safetensors
- Xet hash:
- 2e83bf6e023aefb2a0a6dd2fa8c111634815cbe1a8b1a6f1f80e057f7eb54096
- Size of remote file:
- 13.1 GB
- SHA256:
- eb4dd8c612cfd10f64f25b057e6e6bbcb5737c94a7372177e456dbf7579502f1
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