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:
- 37a3ed655cb905f892ae25df0f218a9915e8a1a1e565c63dd4a51c5a24805824
- Size of remote file:
- 920 MB
- SHA256:
- 6d265ba6c399c44c0967ee802f847ebb2a33a49a82741caa8334a8847aa73a2b
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