---
license: apache-2.0
library_name: diffusers
pipeline_tag: text-to-video
tags:
- diffusers
- wan
- tiny-random
- debug
---

# Tiny Wan2.2 T2V A14B Debug Pipeline

This is a randomly initialized, tiny Diffusers `WanPipeline` fixture for `Wan-AI/Wan2.2-T2V-A14B`.
Wan2.2 T2V-A14B high/low-noise expert layout represented as a Diffusers WanPipeline with `transformer` and `transformer_2`.

It is intended for fast load-path and inference-control debugging only. It is not trained and should
not be used for generation quality evaluation.

```python
from diffusers import WanPipeline

pipe = WanPipeline.from_pretrained("Erland/tiny-wan2.2-t2v-a14b-debug")
pipe.set_progress_bar_config(disable=True)
frames = pipe(
    prompt="debug prompt",
    height=64,
    width=64,
    num_frames=5,
    num_inference_steps=1,
    guidance_scale=1.0,
    max_sequence_length=8,
).frames[0]
```