Instructions to use SammyLim/videomama_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SammyLim/videomama_base 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_base", 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:
- fb2ed5082422c5c5b188a3e3664f9297a569141aac977b7de6b16ce235fb2771
- Size of remote file:
- 391 MB
- SHA256:
- 5d92aa595a53d9da9faf594f09910ee869d5d567c8bb0362d5095673c69997d6
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