Instructions to use ezlee258258/Inversion-DPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ezlee258258/Inversion-DPO with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ezlee258258/Inversion-DPO", 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
- Local Apps
- Draw Things
- DiffusionBee
Upload diffusion_pytorch_model-00002-of-00002.safetensors
Browse files
unet/diffusion_pytorch_model-00002-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:782ab256cbfcb2541a6b7b96129bdbc5e1455dad18af32fe03568301e2084f03
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size 281938304
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