🛠️

Tool

Bernini

Name: Bernini
Author: bytedance

by bytedance bytedance/bernini

Free2AITools Nexus Index

59.5

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 57

P: Popularity 54

R: Recency 100

Q: Quality 70

Tech Context

Vital Performance —

Source →

Python Lang

Open Source 710 Stars

Alpha Reliability

Tool Information Summary
Entity Passport
Registry ID	bytedance/bernini
License	Apache-2.0
Provider	github

📜

Cite this tool

Academic & Research Attribution

BibTeX

@misc{gh_tool_bytedance_bernini,
  author = {bytedance},
  title = {Bernini Tool},
  year = {2026},
  howpublished = {\url{https://github.com/bytedance/Bernini}},
  note = {Accessed via Free2AITools.}
}

APA Style

bytedance. (2026). Bernini [Tool]. Free2AITools. https://github.com/bytedance/Bernini

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🐙 GitHub Clone

git clone https://github.com/bytedance/Bernini

🐍 PIP Install

pip install bernini

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 57

Popularity (P) 54

Recency (R) 100

Quality (Q) 70

💬 Index Insight

FNI V2.0 for Bernini: Authority (A:57), Popularity (P:54), Recency (R:100), Quality (Q:70). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology

Open data Updated: Live data

📋 Specs

Language: Python
License: Apache-2.0
Version: —

CODE

🔌 Usage & Integration

Quick Start

git clone https://github.com/bytedance/Bernini.git bernini && cd bernini
pip install -r requirements.txt

Technical Documentation

Latent Semantic Planning for Video Diffusion

Chenchen Liu^*, Junyi Chen^*, Lei Li^*, Lu Chi^*,§, Mingzhen Sun^*, Zhuoying Li^*, Yi Fu, Ruoyu Guo, Yiheng Wu, Ge Bai, Zehuan Yuan^✉

^* Equal contribution ^✉ Corresponding author ^§ Project lead

🎉 News

[2026-06-11] We open-sourced the inference code and model weights of the full Bernini (Bernini) on ByteDance/Bernini-Diffusers.
[2026-06-09] We open-sourced the 1.3B weights of the Bernini Renderer (Bernini-R) on ByteDance/Bernini-R-1.3B-Diffusers. Fine-tuned from Wan2.1-1.3B, the model performs close to the 14B variant on simple tasks such as style transfer, subtitle or watermark removal, and local editing, while lagging behind on more complex tasks such as human generation.
[2026-06-01] We open-sourced the inference code and model weights of the Bernini Renderer (Bernini-R) on ByteDance/Bernini-R-Diffusers.
[2026-05-22] We released our paper Bernini: Latent Semantic Planning for Video Diffusion.

✨ Highlights

Bernini is a unified framework for video generation and editing that combines an MLLM-based semantic planner with a DiT-based renderer.

On video editing, Bernini reaches the first tier among leading closed-source commerci

Social Proof

GitHub Repository

710Stars

53Forks

Repo Issues

🐙 Data Source: GitHub ↗

🔄 Updated daily

Source summary: Based on GitHub metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Tool Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id: gh-tool--bytedance--bernini
slug: bytedance--bernini
source: github
author: bytedance
license: Apache-2.0
tags: video-editing, video-generation, image-editing, image-generation, python

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
pipeline tag: other

📊 Engagement & Metrics

downloads: 0
stars: 710
forks: 53
github stars: 710

Data indexed from public sources. Updated daily.