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:
- 38a2cbebd9c22b590ce2589ac037c9a8bec7fc8523cf7ffae79ecc73d6efdaea
- Size of remote file:
- 492 MB
- SHA256:
- 3603541aa6722ae50c40872d10eb85ca0d2a1674c20d17e7a4077e42e9596cf1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.