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:
- 1de11fbf4371ae98d767047cae729238155c3b6fc599119a83c46cf8a5ded19a
- Size of remote file:
- 920 MB
- SHA256:
- 0558718503f6f78cabdf0727dfcceb9acf40052f6c3163db21f80c0c05f14dd4
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