Instructions to use wikeeyang/Magic-Wan-Image-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wikeeyang/Magic-Wan-Image-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("wikeeyang/Magic-Wan-Image-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:
- 7a0d432309be24f9776e61aba318317a2ed7211e52328b4d23ca3168251281f2
- Size of remote file:
- 15.4 GB
- SHA256:
- 1dc418d231fc0c7584775b849ce2b77d38f80717b513e8c00704aabbb13788cb
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