Video
HunyuanVideo
HunyuanVideo: A Systematic Framework For Large Video Generation Model
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Anleitung ansehen →Mochi 1 ist ein Open-Source-Projekt aus der Kategorie Video von genmoai (genmoai/mochi auf GitHub). Es hat 3.755 Sterne auf GitHub und 494 Forks, wird unter der Lizenz Apache-2.0 veröffentlicht und wurde zuletzt am 22. Oktober 2026 auf GitHub aktualisiert.
Mochi 1 — Genmo's open state-of-the-art video generation model, with high-fidelity motion and strong prompt adherence, Apache-2.0
Clone, create a Python 3.11 virtual environment with uv, activate it, and sync the locked dependencies.
Download the model and VAE into a local weights directory with the bundled script (or from Hugging Face).
Run generation, and make sure ffmpeg is installed — it turns the model outputs into viewable videos.
High-fidelity motion and strong prompt adherence, released openly instead of behind an API.
Code and weights under Apache-2.0, so the model can be used and built on freely.
Fine-tune Mochi 1 on your own style or subject with the bundled fine-tuner.
Native ComfyUI support lets smaller GPUs run the model where the full pipeline cannot.
The README install route with uv (Python 3.11+).
git clone https://github.com/genmoai/mochi
cd mochi
pip install uv
uv venv --python 3.11 .venv
source .venv/bin/activate
uv sync --lockedThe bundled download script for the model and VAE.
python3 ./scripts/download_weights.py weights/The hosted playground on Genmo's site, before installing anything.
https://www.genmo.ai/playGenmo, as its open state-of-the-art video generation model.
Yes — Apache-2.0 licensed, including the weights.
The full pipeline wants a strong GPU, but consumer-GPU support exists natively in ComfyUI, and the playground lets you try it free first.
Python 3.11+, uv, the model weights, and ffmpeg for turning outputs into videos.
Clone, uv sync the locked environment, download the weights, and generate — or try the Genmo playground first.
HunyuanVideo: A Systematic Framework For Large Video Generation Model
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.