Instructions to use dg845/consistency-models-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dg845/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("dg845/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 test unet checkpoints (fix mid block attention group norm bug)9a017f1 -
Delete test_unet
Remove test_unet (fix mid block attention group norm bug)c6e37b5
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Upload 4 files
Upload new small random diffusers consistency model test checkpoints with attention weight fix (apply attention weight ordering fix)b3479f7 -
Delete test_unet
Remove outdated test checkpoint (apply attention weight ordering fix)c7f6630
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Upload 4 files
Upload small random UNets for diffusers consistency models testing (test_unet_class_cond has a label_emb for class conditional testing, test_unet does not).fcf457a