Instructions to use zenlm/zen-director with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zenlm/zen-director with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zenlm/zen-director", 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
zen-director
Text/image-to-video generation model.
Derived from Wan-AI/Wan2.2-TI2V-5B (Apache-2.0); repackaged by Zen.
WARNING - incomplete upload: The model weights in this repository are INCOMPLETE. Only one of the diffusion transformer shards is present (
diffusion_pytorch_model-00003-of-00003.safetensors); the remaining shards are missing, so this repo is not loadable as-is until the full weight set is re-uploaded.
Overview
This repository repackages Alibaba Wan2.2-TI2V-5B (WanModel DiT, ti2v, dim 3072 / 30 layers, in_dim 48, Wan2.2 VAE). No weights were trained from scratch by Zen.
Developed/repackaged by Hanzo AI and the Zoo Labs Foundation.
Model Details
| Attribute | Value |
|---|---|
| Base model | Wan-AI/Wan2.2-TI2V-5B |
| Architecture | WanModel (DiT), 5B, ti2v |
| License | Apache 2.0 |
| Status | Weights incomplete (missing shards) |
License & Attribution
Apache 2.0. This is a derivative repackaging of Wan2.2-TI2V-5B by Alibaba (Wan team), released under the Apache License 2.0. All rights and attribution for the underlying model belong to the original authors.
NOTICE
This product includes the Wan2.2-TI2V-5B model developed by Alibaba (Wan-AI team), licensed under the Apache License 2.0.
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