Instructions to use mi2341888/Animation-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mi2341888/Animation-V2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mi2341888/Animation-V2", 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:
- 748b01c29eaef7117030e919c14e7997870225310d1fa79732f74e46212f5f79
- Size of remote file:
- 335 MB
- SHA256:
- f03555e72e965ede121159c5ec017bc2e91904d9c666fc836ef42dd84ed1b909
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