Open Generative AI — Unrestricted Open-Source Alternative to AI Video Platforms

The free, open-source alternative to AI Video Platforms. Generate AI images and videos using 400+ state-of-the-art models across 14 studios — no content filters, no closed ecosystem, no subscription fees.

Community: Join Discord for discussions and support

▶ Watch: Free Unlimited AI Image Generator (Truly no limits, Open Source, No Watermark)

🎨 Explore 50+ more open-source AI apps →

💰 Turn This Into Your Own Product — White Label & Resell

Want to launch this as your own branded AI studio and charge your own customers for it? MuAPI White Label lets you spin up a fully white-labeled version of this app — your logo, your colors, your custom domain, your own pricing — with zero infra to manage. You keep the markup on every generation; MuAPI handles the models, the queue, and the billing plumbing underneath.

• Your branding — logo, color theme, and a custom domain (e.g. studio.yourbrand.com)
• Your pricing — set your own credit/subscription prices for end users, keep the margin
• No infra — no servers, workers, or model hosting to run yourself
• All studios included — Image, Video, Audio, Lip Sync, Cinema, Workflows, and more, depending on plan

Plans start at $49/mo. Get started with White Label →

What similar AI studios charge their users

Consumer AI image/video platforms almost all run on paid monthly subscriptions — this is the same playbook you'd run under your own brand:

| Platform | Typical subscription range | |---|---| | Midjourney | ~$10–$120/mo (Basic → Mega) | | Runway | ~$12–$76/mo (Standard → Unlimited), custom Enterprise | | Kling AI | ~$10–$92/mo across Standard → Premier tiers | | Luma Dream Machine | ~$10–$100+/mo | | Pika | ~$8–$58/mo |

(Figures are approximate, general-market ranges and change over time — check each platform's current pricing page before quoting them.) With MuAPI White Label, you set these numbers yourself for your own end users — the subscription revenue is yours.

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Related Projects

This is a curated set of high-value hubs, popular distribution tools, and model-specific integrations rather than a directory of every related repository.

• awesome-generative-ai-apps — catalog of open-source generative-AI applications.
• awesome-ai-video-models — compare video models by API, price, and capability.
• awesome-ai-image-models — compare image models by API, price, and quality.
• AI-Youtube-Shorts-Generator — Open-source Opus Clip alternative application.
• Open-AI-Design-Agent — Ppen-source autonomous AI design agent.
• Generative-Media-Skills — Agent-ready skills for driving generative-media workflows.
• Seedance-2.5-API — Python SDK for Seedance 2.5 video generation.

🌐 Try it Online — No Install Required

Hosted version: https://muapi.ai/open-generative-ai?utm_source=github&utm_medium=readme&utm_campaign=open-generative-ai

Use all studios (Image, Video, Audio, AI Clipping, Vibe Motion, Lip Sync, Cinema, Marketing, Workflows, Agents, Design Agent, Apps, MCP & CLI) directly in your browser — no Node.js, no setup. Sign up for a free account to start generating. The hosted version is always up to date with the latest models.

Follow the creator for updates

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⬇️ Download Desktop App

One-click installers — no Node.js or terminal required.

| Platform | Download | |---|---| | macOS Apple Silicon (M1/M2/M3/M4) | Open Generative AI-1.0.9-arm64.dmg | | macOS Intel (x64) | Open Generative AI-1.0.9.dmg | | Windows (x64) | Open Generative AI Setup 1.0.9.exe | | Linux (Ubuntu x64) | v1.0.9 release (.AppImage / .deb), or build locally with npm run electron:build:linux. |

All releases: github.com/Anil-matcha/Open-Generative-AI/releases

macOS Installation Guide

Because the app is not notarized by Apple, macOS Gatekeeper will block it on first launch. Follow these steps:

Step 1 — Mount the DMG and drag the app to /Applications

Step 2 — Open Terminal and run:

xattr -cr "/Applications/Open Generative AI.app"

Step 3 — Right-click the app in /Applications → click Open → click Open again on the dialog

You only need to do this once. After that, the app opens normally.

Alternative (no Terminal): 1. Try to open the app — macOS will block it 2. Go to System Settings → Privacy & Security 3. Scroll down to find _"Open Generative AI was blocked"_ 4. Click Open Anyway → Open

Windows Installation — SmartScreen warning fix

Windows SmartScreen may show a warning because the installer is not code-signed:

1. Click More info on the SmartScreen dialog 2. Click Run anyway

The app will install silently to %LocalAppData% with a Start Menu shortcut.

Ubuntu / Linux Installation

Linux artifacts are available when building with Electron Builder:

# Build Linux installers (AppImage + .deb)
npm run electron:build:linux

Generated files are written to the release/ folder:

• AppImage — portable, run directly after making executable:

  chmod +x "release/Open Generative AI-*.AppImage"
  ./release/Open\ Generative\ AI-*.AppImage
  

• .deb — install on Debian/Ubuntu:

  sudo apt install ./release/open-generative-ai_*_amd64.deb
  

If AppImage fails to start on older systems, install libfuse2:

sudo apt install libfuse2

Ubuntu 24.04+ / AppArmor sandbox restriction

Ubuntu 24.04 and later enable a kernel security policy (apparmor_restrict_unprivileged_userns) that blocks Chromium's user-namespace sandbox. If the app fails to start silently or crashes immediately, you have two options:

Option A — Recommended: install the .deb instead. The .deb package ships an AppArmor profile that grants the required permission automatically on install with no system-wide changes.

Option B — Temporary system fix (AppImage users):

sudo sysctl -w kernel.apparmor_restrict_unprivileged_userns=0

This lasts until next reboot. To make it permanent:

echo 'kernel.apparmor_restrict_unprivileged_userns=0' | sudo tee /etc/sysctl.d/99-userns.conf

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Open Generative AI is a free, open-source AI image, video, cinema, and lip sync studio that brings creative workflows to everyone. No content filters, no prompt rejections, no guardrails — just full creative freedom. Powered by Muapi.ai, it supports text-to-image, image-to-image, text-to-video, image-to-video, and audio-driven lip sync generation across models like Flux, Nano Banana, Midjourney, Kling, Sora, Veo, Seedream, Infinite Talk, LTX Lipsync, Wan 2.2, and more — all from a sleek, modern interface you can self-host and customize.

Why Open Generative AI instead of other AI Video Platforms?

• No filters — no content filters, no nanny guardrails, no prompt rejections
• Free & open-source — no subscription, no vendor lock-in
• Self-hosted — your data stays on your machine, full creative control
• 200+ models — text-to-image, image-to-image, text-to-video, image-to-video, lip sync
• Multi-image input — feed up to 14 reference images into compatible models
• Lip Sync Studio — animate portraits or sync lips to any audio with 9 dedicated models
• Extensible — add your own models, modify the UI, build on top of it

For a deep dive into the technical architecture and the philosophy behind the "Infinite Budget" cinema workflow, see our comprehensive guide and roadmap.

⚡ Local Model Inference (Desktop App Only)

The desktop app supports two independent local engines. Pick whichever fits the machine you actually run on:

| Engine | What it is | Best for | |---|---|---| | sd.cpp (bundled) | C++ engine from stable-diffusion.cpp, runs on the same machine as the app. Metal GPU on Apple Silicon, CUDA/Vulkan/ROCm on Linux/Windows. | Image-only models. Works on Mac M-series. | | Wan2GP (BYO server) | HTTP client to a user-run Wan2GP server. The server runs Python + PyTorch on a CUDA/ROCm GPU; the desktop app only sends prompts and receives results. | Video models (Wan 2.2, Hunyuan, LTX) and large image models (Flux, Qwen-Image). NVIDIA/AMD GPU required on the server; the desktop app itself can run on a Mac. |

Both engines share the same UI: open Settings → Local Models to configure each.

Engine 1 — sd.cpp (bundled)

| Model | Type | Size | Notes | |---|---|---|---| | Z-Image Turbo ⚡ | Diffusion Transformer | 2.5 GB + 2.7 GB aux | 8-step turbo. Heavy on memory. | | Z-Image Base ⚡ | Diffusion Transformer | 3.5 GB + 2.7 GB aux | 50-step high-quality. Heavy on memory. | | Dreamshaper 8 | SD 1.5 | 2.1 GB | 20-step versatile. Lightest tested option on Mac. | | Realistic Vision v5.1 | SD 1.5 | 2.1 GB | 25-step photorealistic | | Anything v5 | SD 1.5 | 2.1 GB | 20-step anime/illustration | | SDXL Base 1.0 | SDXL | 6.9 GB | 30-step high-res |

Z-Image models require two shared auxiliary files (downloaded once, shared across both models):

- Qwen3-4B Text Encoder — 2.4 GB

- FLUX VAE — 335 MB

How to use: 1. Open Settings → Local Models in the desktop app 2. Install the sd.cpp inference engine (one click — auto-downloaded) 3. Download your chosen model (and auxiliary files for Z-Image) 4. In Image Studio, click the ⚡ Local toggle next to the model selector 5. Select your local model and generate — no API key needed

All downloads happen inside the app. Nothing is installed system-wide.

By default, sd.cpp stores the engine, model weights, and temporary downloads under Electron's app data directory. Common paths are:

• macOS: ~/Library/Application Support/open-generative-ai/local-ai
• Windows: %APPDATA%\open-generative-ai\local-ai
• Linux: ~/.config/open-generative-ai/local-ai

To keep multi-GB model weights on another drive, set OPEN_GENERATIVE_AI_LOCAL_AI_DIR before launching the desktop app. The app will create bin/, models/, and tmp/ inside that directory, and Settings -> Local Models shows the resolved model folder. Local engine output and download errors are written to the app process console, so launch from Terminal or PowerShell when you need troubleshooting logs.

Engine 2 — Wan2GP (remote Gradio server)

The app does not bundle Python or model weights for Wan2GP. You run Wan2GP yourself on a machine with a CUDA or ROCm GPU and point the desktop app at its URL.

# On your GPU machine
git clone https://github.com/deepbeepmeep/Wan2GP
cd Wan2GP
./install.sh                          # or install.bat on Windows
python wgp.py --listen --server-name 0.0.0.0   # binds to all interfaces

Then in the desktop app: Settings → Local Models → Wan2GP server, paste the URL (e.g. http://192.168.1.42:7860), click Test, then Save. The Wan2GP models become available — image models in Image Studio, video models reachable via the same generation API (Image Studio rejects video output explicitly; full Video Studio wiring is on the roadmap).

| Model | Type | Notes | |---|---|---| | Flux.1 Dev | Image | 1024px, 28 steps | | Qwen Image | Image | 1024px, 30 steps | | Wan 2.2 (T2V / I2V) | Video | Slow on consumer GPUs | | Hunyuan Video | Video | High-quality T2V | | LTX Video | Video | Fastest video option |

Why a separate server? Wan2GP's runtime (Sage attention, flash-attn, AWQ/GGUF kernels) is CUDA-only — there is no MPS / Apple Silicon path. Treating it as a remote server lets a Mac-only user keep the desktop app while offloading inference to a Linux/Windows GPU box, a gaming PC on the LAN, or a rented RunPod/vast.ai instance.

Local inference is only available in the desktop app. The hosted web version always uses cloud APIs.

Hardware Notes

• sd.cpp runs on CPU (all platforms) and Metal GPU on Apple Silicon (M1/M2/M3/M4); CUDA/Vulkan/ROCm on Linux/Windows.
• Metal GPU acceleration is built into the macOS desktop binary — significantly faster than CPU-only.
• Recommended for sd.cpp Z-Image: 16 GB RAM (7.4 GB weights + 2.4 GB compute buffer). On a base 8 GB M-series Mac, Z-Image is known to hang the system — stick to SD 1.5 there.
• For SD 1.5 on M2: expect ~1–2 s/step with the Metal dylib active. If you see ~10 s/step instead, the binary may have fallen back to CPU — see verification below.

Verifying the SD 1.5 path (the fastest sanity test on Mac)

If you want to confirm sd.cpp is installed correctly without going through the UI, you can drive sd-cli directly. This is the same binary the app uses.

# 1. App data layout (created on first app launch)
APP_DATA="${OPEN_GENERATIVE_AI_LOCAL_AI_DIR:-$HOME/Library/Application Support/open-generative-ai/local-ai}"
ls "$APP_DATA/bin"     # sd-cli, libstable-diffusion.dylib
ls "$APP_DATA/models"  # whatever you've downloaded
2. Grab a small SD 1.5 model directly (Dreamshaper 8, ~2 GB)
curl -L --fail --progress-bar \
  -o "$APP_DATA/models/DreamShaper_8_pruned.safetensors" \
  "https://huggingface.co/Lykon/DreamShaper/resolve/main/DreamShaper_8_pruned.safetensors"
3. Run a single 512x512 / 12-step inference
DYLD_LIBRARY_PATH="$APP_DATA/bin" "$APP_DATA/bin/sd-cli" \
  -m "$APP_DATA/models/DreamShaper_8_pruned.safetensors" \
  -p "a serene mountain lake at sunrise, oil painting" \
  -o /tmp/sd15-test.png \
  --steps 12 -H 512 -W 512 --cfg-scale 7.5 --seed 42 \
  --sampling-method euler_a

A healthy run on Apple Silicon prints total params memory size = 1969.78MB (VRAM 1969.78MB, RAM 0.00MB) (Metal-backed) and produces a coherent 512×512 PNG. If VRAM is 0.00MB instead, the dylib is CPU-only — check otool -L "$APP_DATA/bin/libstable-diffusion.dylib" | grep -i metal and reinstall the engine from Settings → Local Models if Metal is missing.

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✨ Features

• Image Studio — Generate images from text prompts (50+ text-to-image models) or transform existing images (55+ image-to-image models). Switches model set automatically based on whether a reference image is provided. Quality and resolution controls visible for models that support them.
• Local Inference — Two engines: sd.cpp (bundled, runs on Mac/Win/Linux with Metal/CUDA/Vulkan/ROCm) for SD 1.5, SDXL, and Z-Image; and Wan2GP (BYO Gradio server) for Flux, Qwen-Image, and video models (Wan 2.2, Hunyuan, LTX). Configure both in Settings → Local Models.
• Multi-Image Input — Upload up to 14 reference images for compatible edit models (Nano Banana 2 Edit, Flux Kontext Dev, GPT-4o Edit, and more). Multi-select picker with order badges, batch upload, and a "Use Selected" confirmation flow.
• Video Studio — Generate videos from text prompts (40+ text-to-video models) or animate a start-frame image (60+ image-to-video models). Same intelligent mode switching as Image Studio.
• Audio Studio — Generate and edit AI audio/music from text prompts.
• AI Clipping — Auto-clip and extract highlights from longer video content.
• Vibe Motion Studio — Motion/animation generation studio for stylized video effects.
• Lip Sync Studio — Animate portrait images or sync lips on existing videos using audio. 9 dedicated models across two modes: portrait image + audio → talking video, and video + audio → lipsync video.
• Body Swap (Recast) Studio — Swap/recast a subject's body or appearance in an image or video.
• Cinema Studio — Interface for photorealistic cinematic shots with pro camera controls (Lens, Focal Length, Aperture)
• Marketing Studio — Generate ad and marketing-ready creative variations from a single input.
• Workflow Studio — Build and run multi-step AI pipelines visually. Chain image, video, and audio models into automated flows. Browse community templates, create your own with a node-based editor, and run them via an interactive playground.
• Agent Studio — Multi-turn creative agent that plans and executes generation tasks conversationally.
• Design Agent Studio — Canvas-based autonomous design agent for iterative visual work.
• Explore Apps — Directory of app templates and use-cases built on the same model catalog.
• AI Influencer Studio — Tools for creating and managing consistent AI persona/influencer content.
• Upload History — Reference images are uploaded once and stored locally. A picker panel lets you reuse any previously uploaded image across sessions — no re-uploading.
• Smart Controls — Dynamic aspect ratio, resolution/quality, and duration pickers that adapt to each model's capabilities (including t2i models with resolution or quality options)
• Generation History — Browse, revisit, and download all past generations (persisted in browser storage)
• Image & Video Download — One-click download of generated outputs in full resolution
• API Key Management — Secure API key storage in browser localStorage (never sent to any server except Muapi)
• Responsive Design — Works seamlessly on desktop and mobile with dark glassmorphism UI

🖼️ Image Studio — Dual Mode

The Image Studio automatically switches between two model sets:

| Mode | Trigger | Models | Prompt | | :--- | :--- | :--- | :--- | | Text-to-Image | Default (no image) | 50+ t2i models (Flux, Nano Banana 2, Seedream 5.0, Ideogram, GPT-4o, Midjourney…) | Required | | Image-to-Image | Reference image uploaded | 55+ i2i models (Kontext, Nano Banana 2 Edit, Seedream 5.0 Edit, Seededit, Upscaler…) | Optional |

Newly Added Models

| Model | Type | Key Features | | :--- | :--- | :--- | | Nano Banana 2 | Text-to-Image | Google Gemini 3.1 Flash Image · Resolution 1K/2K/4K · Google Search enhancement · aspect ratio auto | | Nano Banana 2 Edit | Image-to-Image | Up to 14 reference images · Resolution 1K/2K/4K · Google Search enhancement | | Seedream 5.0 | Text-to-Image | ByteDance · Quality basic/high · 8 aspect ratios · up to 4K | | Seedream 5.0 Edit | Image-to-Image | ByteDance · Natural language style transfer · Quality basic/high | | MiniMax Image 01 | Text-to-Image | MiniMax · 8 aspect ratios · up to 4 images per request · 1500 char prompt |

Multi-Image Input

Models that accept multiple reference images expose a multi-select picker when active:

| Model | Max Images | | :--- | :--- | | Nano Banana 2 Edit | 14 | | Nano Banana Edit | 10 | | Flux Kontext Dev I2I | 10 | | Kling O1 Edit Image | 10 | | GPT-4o Edit / GPT Image 1.5 Edit | 10 | | Bytedance Seedream Edit v4 / v4.5 | 10 | | Vidu Q2 Reference to Image | 7 | | Flux 2 Flex/Pro Edit | 8 | | Nano Banana Pro Edit | 8 | | Flux Kontext Pro/Max I2I | 2 | | Wan 2.5/2.6 Image Edit | 2–3 | | Qwen Image Edit Plus / 2511 | 3 | | GPT-4o Image to Image | 5 | | Flux 2 Klein 4b/9b Edit | 4 |

When a multi-image model is selected the upload trigger switches to multi-select mode:

• Checkboxes with order numbers — images are sent to the model in the order you select them
• Batch upload — pick multiple files at once from your file dialog
• Count badge on the trigger shows how many images are active; a + badge appears when more slots are available
• "Use Selected" button confirms and closes the picker

🎬 Video Studio — Dual Mode

The Video Studio follows the same pattern:

| Mode | Trigger | Models | Prompt | | :--- | :--- | :--- | :--- | | Text-to-Video | Default (no image) | 40+ t2v models (Kling, Sora, Veo, Wan, Seedance 2.0, Hailuo, Runway…) | Required | | Image-to-Video | Start frame uploaded | 60+ i2v models (Kling I2V, Veo3 I2V, Runway I2V, Wan I2V, Seedance 2.0 I2V, Midjourney I2V…) | Optional |

Newly Added Models

| Model | Type | Key Features | | :--- | :--- | :--- | | Seedance 2.0 | Text-to-Video | ByteDance · Aspect ratios 16:9 / 9:16 / 4:3 / 3:4 · Duration 5 / 10 / 15s · Quality basic/high | | Seedance 2.0 I2V | Image-to-Video | ByteDance · Animate images into video · Up to 9 reference images · Aspect ratios 16:9 / 9:16 / 4:3 / 3:4 · Duration 5 / 10 / 15s · Quality basic/high | | Seedance 2.0 Extend | Video Extension | ByteDance · Seamlessly continue any Seedance 2.0 generation · Preserves style, motion & audio · Optional continuation prompt · Duration 5 / 10 / 15s · Quality basic/high | | Grok Imagine T2V | Text-to-Video | xAI · Duration 6 / 10 / 15s · Modes: fun / normal / spicy · Aspect ratios 9:16 / 16:9 / 2:3 / 3:2 / 1:1 | | Grok Imagine I2V | Image-to-Video | xAI · Duration 6 / 10 / 15s · Modes: fun / normal / spicy · Cinematic motion from still images | | MiniMax Hailuo 02 / 2.3 Standard & Pro | Text-to-Video / Image-to-Video | MiniMax · Full HD video · Multiple aspect ratios · Fast variant included |

🎙️ Lip Sync Studio

The Lip Sync Studio generates audio-driven talking videos using 9 models across two input modes:

| Mode | Trigger | Description | | :--- | :--- | :--- | | Portrait Image | Default | Upload a portrait image + audio file → animated talking video | | Video | Switch to Video mode | Upload an existing video + audio file → lipsync video |

Image-based Models (Portrait Image + Audio → Video)

| Model | Endpoint | Resolutions | Prompt | | :--- | :--- | :--- | :--- | | Infinite Talk | infinitetalk-image-to-video | 480p, 720p | Optional | | Wan 2.2 Speech to Video | wan2.2-speech-to-video | 480p, 720p | Optional | | LTX 2.3 Lipsync | ltx-2.3-lipsync | 480p, 720p, 1080p | Optional | | LTX 2 19B Lipsync | ltx-2-19b-lipsync | 480p, 720p, 1080p | Optional |

Video-b