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:
- 5bfbb75b1c969574f680703fd8bd8304a1e1e5b3518b991e8e0ff09017559626
- Size of remote file:
- 9.65 GB
- SHA256:
- 049328d1891f965700ed7abbd9303f21ed8fb705115eb92edf492b16e6a92460
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