Instructions to use ATH-MaaS/Diffusion-SDPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ATH-MaaS/Diffusion-SDPO with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ATH-MaaS/Diffusion-SDPO", 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 sd1.5/dmpo/unet.pth from ATH-MaaS/Diffusion-SDPO: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/ATH-MaaS/Diffusion-SDPO/resolve/main/sd1.5/dmpo/unet.pth
- Command line
-
hf download hf://ATH-MaaS/Diffusion-SDPO/sd1.5/dmpo/unet.pth
-
curl -L -o unet.pth https://huggingface.co/ATH-MaaS/Diffusion-SDPO/resolve/main/sd1.5/dmpo/unet.pth
3.44 GB
- Xet hash:
- 433bfd3a67d72c7613fb35788340ae5121ba492c1dd5139d75001532e9c96c31
- Size of remote file:
- 3.44 GB
- SHA256:
- 57c36e0d8d785d31cf4db75da2d3ff502dd83ff9f11681f23d2e0676241cc291
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