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:
- 2f02f2f24a248cecccf96f6ec0c2b26cf99ed4a24c1f5e11b15573ee23c5ef3f
- Size of remote file:
- 920 MB
- SHA256:
- a3903b73c3f46a17aa9399b2b8ba2ad11c729a17ea442ac1b1f8b0c19ae9611f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.