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:
- 8aa54c2de64961c030a4ccc5cbbd15581aa773f54853bda797ea48832e37294c
- Size of remote file:
- 920 MB
- SHA256:
- d6ece181f79feb1c5a7a8c87c9c7d072bac68b8289e2100e064519d801753830
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