Instructions to use dg845/diffusers-cd_imagenet64_lpips with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dg845/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("dg845/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 unet checkpoint (fix mid block attention group norm bug)
caf8b79 -
Delete unet
Remove unet checkpoint (fix mid block attention group norm bug)8eb20bf
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Upload 4 files
Add diffusers version of consistency models cd_imagenet64_lpips.py checkpoint.c797f54