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
where is the video output generated
#58
by Roronoa099 - opened
after i ran the code, where is the video output generated. my prompt was "dragon flying over the skyscrappers in the night"
you can customize your save path like this:
video_path = export_to_video(video_frames,output_video_path='test.mp4')