Instructions to use AlexWortega/AnimeDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexWortega/AnimeDiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AlexWortega/AnimeDiffusion", 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
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 23e5a6560776f588374bbbe749d7b266c6000aaba58d4b8b4f3c1a95038cc7f8
- Size of remote file:
- 3.44 GB
- SHA256:
- f193880357758321324cd820c9c3342ac2a65568aa9872aeab7b66e1acbab267
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