Instructions to use SammyLim/VideoMaMa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SammyLim/VideoMaMa with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SammyLim/VideoMaMa", 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:
- e21428efcde8cd8c74306494654dc51a4afdf1f394519732048f434c99c7f134
- Size of remote file:
- 13.6 MB
- SHA256:
- cd0bdd8253bfee2a777cd41614dd29ef67a39511034761b4fabb2b11425c9b07
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