Instructions to use AlexWortega/AnimeDiffusion2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexWortega/AnimeDiffusion2 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/AnimeDiffusion2", 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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b8b981c1646f39350a91bda33a820b456a7dc773dc90269519a4aa8bcf5b1a13
- Size of remote file:
- 335 MB
- SHA256:
- cce6424c70219abf32af8aa0bdc3e03cccfb0be848533f95e29abcecfd51088f
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