Instructions to use deepu-2005/games-rdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use deepu-2005/games-rdb with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("deepu-2005/games-rdb", 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
- Draw Things
- DiffusionBee
- Xet hash:
- d71bb9caf2218c027b70345931212af34c2d654daef333a093814f5c42f4878e
- Size of remote file:
- 3.44 GB
- SHA256:
- 3ad68d293fbbe8cc45dab9b8daf2a08b7f404c32eff01e60ca1f2c8606f818c6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.