Instructions to use rockapaper/WAMU-Merge-MotionBoost_WAN2.2_I2V_LIGHTNING with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rockapaper/WAMU-Merge-MotionBoost_WAN2.2_I2V_LIGHTNING with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rockapaper/WAMU-Merge-MotionBoost_WAN2.2_I2V_LIGHTNING", 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:
- 107b28a650d7fcca8e6ecec49d667694810747f173e6ab6f9eaf513ccd38bedd
- Size of remote file:
- 4.98 GB
- SHA256:
- c7646996e3650372784fc55d7a9c9f815cf44132457e8f487819902bb3662d55
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