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 Settings
- Draw Things
- DiffusionBee
Download text_encoder_2/openvino_model.xml from ashllay/Inversion-DPO: direct link, hf CLI and curl.
- Browser
- Download file 2.79 MB
-
https://huggingface.co/ashllay/Inversion-DPO/resolve/main/text_encoder_2/openvino_model.xml
- Command line
-
hf download hf://ashllay/Inversion-DPO/text_encoder_2/openvino_model.xml
-
curl -L -o openvino_model.xml https://huggingface.co/ashllay/Inversion-DPO/resolve/main/text_encoder_2/openvino_model.xml
2.79 MB
File too large to display, you can check the raw version instead.