Instructions to use BiliSakura/ddpm-cd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/ddpm-cd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BiliSakura/ddpm-cd", 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
| { | |
| "feat_scales": [ | |
| 2, | |
| 5, | |
| 8, | |
| 11, | |
| 14 | |
| ], | |
| "inner_channel": 128, | |
| "channel_multiplier": [ | |
| 1, | |
| 2, | |
| 4, | |
| 8, | |
| 8 | |
| ], | |
| "out_channels": 2, | |
| "img_size": 256, | |
| "time_steps": [ | |
| 50, | |
| 100 | |
| ] | |
| } |