Instructions to use diffusers/consistency-models-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/consistency-models-test 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-test", 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 4 files
Add new consistency models test U-Nets with mid block attention group norm fix7c63d54
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Update test_unet/config.json
09e08ee -
Update test_unet_class_cond/config.json
90274f4 -
Duplicate from dg845/consistency-models-test
Co-authored-by: Daniel Gu <dg845@users.noreply.huggingface.co>e543fce