Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
stable-diffusion-xl
stable-diffusion
inversion
dpo
fine-tuned
Instructions to use ashllay/Inversion-DPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ashllay/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("ashllay/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
- Xet hash:
- c2bca92a450d7ebcc5414d362ffbb1a00242c4b3b04ee167e764f30d0ca01df5
- Size of remote file:
- 2.78 GB
- SHA256:
- 3a6032f63d37ae02bbc74ccd6a27440578cd71701f96532229d0154f55a8d3ff
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