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
- Draw Things
- DiffusionBee
- Xet hash:
- 21e6855048f9032633bbb767c8dffe8cee16f578d91bdc4480f1fdb0adf14f07
- Size of remote file:
- 492 MB
- SHA256:
- 9618199fd94639d7cb5bf018f6b459fe9f9ba2941069c30d90cb390f2aa463b1
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