Instructions to use EnD-Diffusers/animanga-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/animanga-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/animanga-model", dtype=torch.bfloat16, device_map="cuda") prompt = "anipoma1" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 87f1d32f0a5f2729e8122193603ec57cbd8839aa450ffa3842d755c330f82453
- Size of remote file:
- 3.44 GB
- SHA256:
- 0515c6ff04f53e99a96c8635e8e8a4e71bd5c796fe0ef647ece3aadd9d1708b0
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