Instructions to use darwinkernelpanic/DiffReaper-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use darwinkernelpanic/DiffReaper-5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("darwinkernelpanic/DiffReaper-5", 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:
- c57c72ae224085bed9eab1295c2a549662eb4f7df7f36f992af28188236d0cbf
- Size of remote file:
- 920 MB
- SHA256:
- 2bafa5c60b207260e8590a865ce3c97d06b7f0d1b875ed831f35c3a4f5af900a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.