| 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] | |
| ``` | |