Instructions to use AiArtLab/wan16x_vae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiArtLab/wan16x_vae with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AiArtLab/wan16x_vae", 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
- Xet hash:
- 792edc0c000c3e41f363d33d72a3df7d6aa59379466a85881e3f7978c6d8e078
- Size of remote file:
- 1.41 GB
- SHA256:
- 9fdd3eba4b684a21517593b111ef59debced73fc8e678081577127cc660608a4
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