Instructions to use diffusers/consistency_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/consistency_models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers/consistency_models", 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
Commit History
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Upload config.json
Update the unet config for the cd_imagenet64 consistency models checkpoint for slow testing (fix mid block group norm).4e2aa3e
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Update diffusers_cd_imagenet64_l2/config.json
dce8392 -
Duplicate from ayushtues/consistency_models
Co-authored-by: Ayush Mangal <ayushtues@users.noreply.huggingface.co>94c7237