Instructions to use nroggendorff/anime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nroggendorff/anime with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nroggendorff/anime", 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:
- 9f8e5eaea63f58a5247b0b8ac0ef01edafcbcec418e1caa9d235151747d8f8fd
- Size of remote file:
- 22.2 MB
- SHA256:
- a1d9cdcc7f5cef1b37d928fd1d1c08d51ecdfa1428b4c172adea4d0f6063b519
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