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Erland/tiny-wan2.2-t2v-a14b-debug
tiny-wan2.2-t2v-a14b-debug is a text-to-video model from Erland. Use it when you need video from a text prompt. It is set up for diffusers. The card lists the license as apache-2.0.
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 transformer2.
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From the Hugging Face model README
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.
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]