TAEM1 is a Tiny AutoEncoder for the Mochi 1 (Preview) video generation model. TAEM1 should be able to encode/decode Mochi's latents more cheaply than the full-size Mochi VAE (at the cost of slightly lower quality). This means TAEM1 should be useful for previewing outputs from Mochi 1.

Sample Video	Reconstruction with TAEM1

TAEM1 consists of an MSE-distilled encoder and an MSE+adversarial-distilled decoder, both trained to mimic the Mochi 1 VAE behavior. TAEM1 has the vae_latents_to_dit_latents and dit_latents_to_vae_latents transforms baked in, and consumes/produces [0, 1]-scaled images, so TAEM1 shouldn't require much additional code to use. TAEM1 is causal (like the Mochi 1 VAE) so you can either run TAEM1 timestep-parallel (faster, higher memory usage) or timestep-sequential (slower, reduced memory usage).

You can try running python3 taem1.py test_video.mp4 to test reconstruction. Mochi T2V demo notebook TBD.