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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]
```
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