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:
- 7480d31c6506cb0133d0a08dd84da92b8f59f0c835d15f9d7ec2c1e69c7bfd15
- Size of remote file:
- 5.65 GB
- SHA256:
- 1296dbed3928b7ecf7da12dda03c4ff10f1cdf7303ff86993529fe8388a3e333
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