Open Source

Behold: Genmo dropped Mochi 1 under Apache 2.0 — full commercial use, no asterisks, no "research only". The clips are smooth, the prompt adherence is sharp, and the timeline is finally calm about open video gen.

The Setup

Mochi 1 is a 10B AsymmDiT with a custom VAE that compresses video aggressively. The motion is what sets it apart — no morphing faces, no melting hands, just believable physics. It lives on HuggingFace and the diffusers PR is already merged.

{`pip install -U diffusers transformers accelerate imageio[ffmpeg]
huggingface-cli download genmo/mochi-1-preview`}

The Money Pattern

The pipeline is identical to any other diffusers call. Plug a prompt in, get an mp4 out, pipe it into FFmpeg for post. For motion plates and Aidxn Design portfolio loops this is my new default.

{`import torch
from diffusers import MochiPipeline
from diffusers.utils import export_to_video

pipe = MochiPipeline.from_pretrained(
    "genmo/mochi-1-preview",
    torch_dtype=torch.bfloat16,
)
pipe.enable_model_cpu_offload()
pipe.enable_vae_tiling()

frames = pipe(
    prompt="aerial shot over Gold Coast skyline at sunset, slow drift, cinematic",
    num_frames=85,
    num_inference_steps=64,
    guidance_scale=4.5,
).frames[0]

export_to_video(frames, "mochi.mp4", fps=30)`}

The Catch

480p is the ceiling on the open weights — Genmo kept the HD variant API-only. Generation is also slow: 64 steps on a 4090 takes about 3 minutes per clip. And the prompt window is short, so wordy descriptions get truncated and ignored.

The Verdict

Apache 2.0 is the headline. You can ship Mochi-generated clips commercially, full stop. The 480p limit hurts but upscaling through Topaz or even an SD4 img2img pass gets you there. This is the foundation model the open-source video space needed. Pull it.