Diffusers
Safetensors
ConsistencyModelPipeline
generative model
unconditional image generation
consistency-model
Instructions to use openai/diffusers-ct_imagenet64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use openai/diffusers-ct_imagenet64 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("openai/diffusers-ct_imagenet64", 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 new ct_imagenet64 consistency model checkpoint (fix mid block attention group norm bug) (#1)
- Upload new ct_imagenet64 consistency model checkpoint (fix mid block attention group norm bug) (59bf6f8db33514ac1761753c1528b337bad166a8) Co-authored-by: Daniel Gu <dg845@users.noreply.huggingface.co>49a2218
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Duplicate from dg845/diffusers-ct_imagenet64
Co-authored-by: Daniel Gu <dg845@users.noreply.huggingface.co>233b9cd