Instructions to use ModelsLab/dpo-sdxl-plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ModelsLab/dpo-sdxl-plus with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ModelsLab/dpo-sdxl-plus", 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/model.safetensors from ModelsLab/dpo-sdxl-plus: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/ModelsLab/dpo-sdxl-plus/resolve/main/text_encoder/model.safetensors
- Command line
-
hf download hf://ModelsLab/dpo-sdxl-plus/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/ModelsLab/dpo-sdxl-plus/resolve/main/text_encoder/model.safetensors
246 MB
- Xet hash:
- 0af7801c8b687dea1ad06b8e6880f18ab43236d95f3f9d9f0a71ee38e74eac37
- Size of remote file:
- 246 MB
- SHA256:
- 530a70fee73a08f3ea1bbd76e5dff77be71d82131e1a9998aefd1ef80e93ac48
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