Instructions to use ali-vilab/text-to-video-ms-1.7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ali-vilab/text-to-video-ms-1.7b with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ali-vilab/text-to-video-ms-1.7b", torch_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:
- 9d7f80f31c582d708c3c90a34e199ca07e14ec560ecff6f44f29e67b082f99e3
- Size of remote file:
- 681 MB
- SHA256:
- 6ab158327d06ce861b5c78843672c78433ea82fcf03f142097ba204b81251cd2
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