Instructions to use EmilyNguyen235/ddpo-alignment-ppo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EmilyNguyen235/ddpo-alignment-ppo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EmilyNguyen235/ddpo-alignment-ppo", 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
- Xet hash:
- 3e14e9742b31be27eb5b7751a2d18fbc126b05d86db07a561cffd041dfd24012
- Size of remote file:
- 3.44 GB
- SHA256:
- 510278605ca9242b6a3d20d1520c6894e06f6c7e92f37a4a58fb6b8cbeff306f
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