Mochi 1

Open-source video generation model by Genmo with state-of-the-art motion quality.

Open SourceSelf HostedOffline CapableGPU Required (24GB+ VRAM)
0.0 (0)

About

Genmo released Mochi 1 as an open text-to-video model with an emphasis on motion quality and prompt adherence. The generator is a 10 billion parameter Asymmetric Diffusion Transformer (AsymmDiT), which gives the visual stream roughly four times the parameters of the text stream, paired with AsymmVAE, a 362 million parameter video autoencoder that compresses input 128 times through 8x8 spatial and 6x temporal reduction. Prompts are encoded with a single T5-XXL model. Output is 480p video, and hardware demands are substantial: around 60 GB of VRAM for single-GPU inference with an H100 recommended, though ComfyUI optimizations bring requirements under 20 GB. Weights are published on Hugging Face and by torrent under the Apache 2.0 license, and the repository includes a LoRA trainer for fine-tuning on a single H100 or A100. Researchers and technically equipped creators use it as one of the more capable fully open video generation baselines available for local experimentation.

Should you use Mochi 1?

Pick it when

Pick Mochi 1 when you want an Apache-2.0 text-to-video baseline you can fine-tune with its bundled LoRA trainer, and you have an H100 or A100 for training or can use the ComfyUI path that fits inference under 20 GB.

Look elsewhere when

Skip it if you need more than 480p output or a built-in image-to-video model: Wan 2.1 covers 720p and I2V under the same Apache-2.0 terms. The reference path wants about 60 GB of VRAM, so consumer cards depend on ComfyUI optimizations.

Alternatives to Mochi 1

  • Wan 2.1

    Same Apache-2.0 freedom plus 720p, image-to-video, and a 1.3B model that runs in about 8 GB, so it reaches far more hardware than Mochi's 480p setup.

  • Pyramid Flow

    MIT licensed and reaches 10 second 768p clips in as little as 8 GB with sequential offload, where Mochi stops at 480p on far bigger GPUs.

  • Allegro

    Also Apache-2.0 with 720p output and image-to-video, 9.3 GB with offload, but a single clip takes about 20 minutes on one H100.

  • LTX-Video

    Distilled variants need as few as 8 steps and FP8 builds fit smaller cards, but weights use Lightricks' community license rather than Apache-2.0.

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Details

Price
Free
Platform
Local/Desktop
Difficulty
Advanced (4/5)
License
Apache-2.0
Minimum VRAM
24 GB
Added
Apr 3, 2026

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