Instructions to use sunovivid/diffusion-dpo-sd15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sunovivid/diffusion-dpo-sd15 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sunovivid/diffusion-dpo-sd15", 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
- Xet hash:
- 37d2241856d67333f9c964e61e34449461fa47a566161a21c1c25e3464552504
- Size of remote file:
- 6.88 GB
- SHA256:
- f9eb563fdd099c597fe69bcbe02f6377ecd0fb17e72213ce53091e4b148835ae
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