Diffusers
Safetensors
ConsistencyModelPipeline
generative model
unconditional image generation
consistency-model
Instructions to use openai/diffusers-cd_imagenet64_lpips with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use openai/diffusers-cd_imagenet64_lpips 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-cd_imagenet64_lpips", 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 cd_imagenet64_lpips consistency model checkpoint (fix mid block attention group norm bug) (#1)
- Upload new cd_imagenet64_lpips consistency model checkpoint (fix mid block attention group norm bug) (074f731cf69e8d51f7151c928be60022b0c4756b) Co-authored-by: Daniel Gu <dg845@users.noreply.huggingface.co>7a788ca
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Duplicate from dg845/diffusers-cd_imagenet64_lpips
Co-authored-by: Daniel Gu <dg845@users.noreply.huggingface.co>7ca0edf