Instructions to use daydreamlive/Wan2.1-T2V-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use daydreamlive/Wan2.1-T2V-14B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("daydreamlive/Wan2.1-T2V-14B", 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
Wan2.1-T2V-14B
Wan2.1 Text-to-Video 14B parameter model.
About This Repo
This is a mirror of Wan-AI/Wan2.1-T2V-14B maintained by Daydream for use with Scope.
All credit for the original model goes to Wan-AI. See the upstream repository for full details, documentation, and citation information.
License
This model is distributed under the apache-2.0 license, matching the upstream repository.
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