Instructions to use Drawin/DDPM-Street-Scene-Repaint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Drawin/DDPM-Street-Scene-Repaint with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Drawin/DDPM-Street-Scene-Repaint", 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
|
Download README.md from Drawin/DDPM-Street-Scene-Repaint: direct link, hf CLI and curl.
- Browser
- Download file 205 Bytes
-
https://huggingface.co/Drawin/DDPM-Street-Scene-Repaint/resolve/main/README.md
- Command line
-
hf download hf://Drawin/DDPM-Street-Scene-Repaint/README.md
-
curl -L -o README.md https://huggingface.co/Drawin/DDPM-Street-Scene-Repaint/resolve/main/README.md
205 Bytes
metadata
license: mit
Pretrain model for https://github.com/Draw1n/DDPM-Street-Scene-Repaint
iamge_size = (128x128), batch = 16, epoch = 250, 8 hours training
Put the model.bin and json into the ./output/