# Open Generative AI β€” Unrestricted Open-Source Alternative to AI Video Platforms [![Powered by MuAPI](https://img.shields.io/badge/Powered%20by-MuAPI-6366f1?style=flat-square&logo=data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCI+PHBhdGggZmlsbD0id2hpdGUiIGQ9Ik0xMiAyQzYuNDggMiAyIDYuNDggMiAxMnM0LjQ4IDEwIDEwIDEwIDEwLTQuNDggMTAtMTBTMTcuNTIgMiAxMiAyem0tMSAxNHYtNGgtMnYtMmg0djZoLTJ6bTAtOFY2aDJ2MmgtMnoiLz48L3N2Zz4=)](https://muapi.ai?utm_source=github&utm_medium=badge&utm_campaign=open-generative-ai) > **The free, open-source alternative to AI Video Platforms.** Generate AI images and videos using 400+ state-of-the-art models across 14 studios β€” no content filters, no closed ecosystem, no subscription fees. **Community:** Join [Discord](https://discord.gg/tANKJkHck) for discussions and support

β–Ά Watch: How to Access Flux 3 API (Step-by-Step Guide): Image & Video Generation from One Multimodal Model

Awesome Generative AI Apps

> 🎨 **[Explore 50+ more open-source AI apps β†’](https://github.com/Anil-matcha/awesome-generative-ai-apps)** ## πŸ’° Turn This Into Your Own Product β€” White Label & Resell Want to launch this as **your own branded AI studio** and charge your own customers for it? [MuAPI White Label](https://muapi.ai/white-label?utm_source=github&utm_medium=readme&utm_campaign=open-generative-ai) lets you spin up a fully white-labeled version of this app β€” your logo, your colors, your custom domain, your own pricing β€” 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** β€” logo, color theme, and a custom domain (e.g. `studio.yourbrand.com`) - **Your pricing** β€” set your own credit/subscription prices for end users, keep the margin - **No infra** β€” no servers, workers, or model hosting to run yourself - **All studios included** β€” Image, Video, Audio, Lip Sync, Cinema, Workflows, and more, depending on plan Plans start at $49/mo. [Get started with White Label β†’](https://muapi.ai/white-label?utm_source=github&utm_medium=readme&utm_campaign=open-generative-ai) ### What similar AI studios charge their users Consumer AI image/video platforms almost all run on paid monthly subscriptions β€” this is the same playbook you'd run under your own brand: | Platform | Typical subscription range | |---|---| | Midjourney | ~$10–$120/mo (Basic β†’ Mega) | | Runway | ~$12–$76/mo (Standard β†’ Unlimited), custom Enterprise | | Kling AI | ~$10–$92/mo across Standard β†’ Premier tiers | | Luma Dream Machine | ~$10–$100+/mo | | Pika | ~$8–$58/mo | *(Figures are approximate, general-market ranges and change over time β€” check each platform's current pricing page before quoting them.)* With MuAPI White Label, you set these numbers yourself for your own end users β€” the subscription revenue is yours. --- ## Related Projects > 🎞️ **MiniMax H3 API Python SDK:** [MiniMax-H3-API](https://github.com/Anil-matcha/MiniMax-H3-API) β€” Python SDK for MiniMax H3 text-to-video, image-to-video, and first/last-frame video workflows through Muapi. > 🌊 **Wan 3.0 API Python SDK:** [Wan-3.0-API](https://github.com/Anil-matcha/Wan-3.0-API) β€” Python SDK and MCP server for Wan 3.0-compatible text-to-video, image-to-video, multimodal references, uploads, and asynchronous generation jobs. > πŸ†• **FLUX 3 Python SDK:** [Flux-3-Dev-API](https://github.com/Anil-matcha/Flux-3-Dev-API) β€” Python wrapper for Black Forest Labs' newly announced FLUX 3 β€” text-to-image, image-to-image, text-to-video, and image-to-video through one client, including the fast/low-cost Dev variant. > 🎬 **FLUX 3 video, specifically:** [flux-3-video-api](https://github.com/SamurAIGPT/flux-3-video-api) β€” a focused Python wrapper for just the FLUX 3 Text-to-Video and Image-to-Video endpoints, with native synchronized audio. > πŸŽ“ **Learn to monetize generative AI:** [ai-creator-academy](https://github.com/Anil-matcha/ai-creator-academy) β€” a free, open-source curriculum teaching creators, freelancers, and agencies how to make money with generative AI image/video/audio tools, covering monetization, pricing, and client delivery β€” not just how the models work. > πŸ€– **Automate media generations with AI coding agents:** [Generative-Media-Skills](https://github.com/SamurAIGPT/Generative-Media-Skills) β€” a library of skills that let agents like **Claude Code**, **Codex**, and other coding assistants drive 200+ image/video models end-to-end (prompt β†’ generate β†’ edit β†’ stitch) directly from your terminal. Perfect for building automated media pipelines without touching a UI. > 🎬 **Seedance 2.5 prompts & API guide:** [awesome-seedance-2.5-api-prompts](https://github.com/Anil-matcha/awesome-seedance-2.5-api-prompts) β€” Curated prompt templates, camera control vocabulary, MuAPI reference, and cinematic examples for Seedance 2.5 video generation. > πŸŽ₯ **Seedance 2.5 Python SDK:** [Seedance-2.5-API](https://github.com/SamurAIGPT/Seedance-2.5-API) β€” Python wrapper for ByteDance's Seedance 2.5 API β€” text-to-video, image-to-video, realistic human faces, character consistency. > 🍌 **Claude Fable 5 use cases + 20% off on MuAPI:** [awesome-claude-fable-5](https://github.com/Anil-matcha/awesome-claude-fable-5) β€” 60 curated real-world use cases, prompts, and benchmarks for Claude Fable 5, with **20% off Fable 5 access** via [MuAPI](https://muapi.ai/pricing?utm_source=github&utm_medium=readme&utm_campaign=open-generative-ai). - [AI-Youtube-Shorts-Generator](https://github.com/SamurAIGPT/AI-Youtube-Shorts-Generator) β€” Auto-generate viral YouTube Shorts from long-form videos using AI - [muapi-cli](https://github.com/SamurAIGPT/muapi-cli) β€” Official CLI for MuAPI β€” run these models from your terminal - [Vibe-Workflow](https://github.com/SamurAIGPT/Vibe-Workflow) β€” Node-based AI workflow builder for generative image & video pipelines - [Text-To-Video-AI](https://github.com/SamurAIGPT/Text-To-Video-AI) β€” Lightweight text-to-video script β€” no UI required - [muapi-comfyui](https://github.com/SamurAIGPT/muapi-comfyui) β€” ComfyUI nodes for 100+ MuAPI models - [n8n-nodes-muapi](https://github.com/SamurAIGPT/n8n-nodes-muapi) β€” n8n community nodes for MuAPI β€” automate media generation - [Open-AI-Design-Agent](https://github.com/Anil-matcha/Open-AI-Design-Agent) β€” Open-source autonomous AI design agent - [Free-AI-Social-Media-Scheduler](https://github.com/Anil-matcha/Free-AI-Social-Media-Scheduler) β€” Free open-source AI social media scheduler β€” self-hostable alternative to Buffer and Hootsuite - [awesome-seedance-2.5-api-prompts](https://github.com/Anil-matcha/awesome-seedance-2.5-api-prompts) β€” Curated Seedance 2.5 API guide, prompts, camera controls, and video generation examples - [AI-Voice-Agent](https://github.com/Anil-matcha/AI-Voice-Agent) β€” Self-hosted AI voice agent for real-time voice conversations, sales calls, and customer support - [awesome-ai-video-models](https://github.com/Anil-matcha/awesome-ai-video-models) β€” compare AI video models by API, price & speed - [awesome-ai-image-models](https://github.com/Anil-matcha/awesome-ai-image-models) β€” compare AI image models by API, price & quality - [awesome-flux-3-api-prompts](https://github.com/Anil-matcha/awesome-flux-3-api-prompts) β€” FLUX 3 API guide, prompts, and parameters ## 🌐 Try it Online β€” No Install Required **Hosted version:** [https://muapi.ai/open-generative-ai?utm_source=github&utm_medium=readme&utm_campaign=open-generative-ai](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 β€” 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](https://x.com/matchaman11) for updates --- ## ⬇️ Download Desktop App One-click installers β€” no Node.js or terminal required. | Platform | Download | |---|---| | macOS Apple Silicon (M1/M2/M3/M4) | [Open Generative AI-1.0.9-arm64.dmg](https://github.com/Anil-matcha/Open-Generative-AI/releases/download/v1.0.9/Open.Generative.AI-1.0.9-arm64.dmg) | | macOS Intel (x64) | [Open Generative AI-1.0.9.dmg](https://github.com/Anil-matcha/Open-Generative-AI/releases/download/v1.0.9/Open.Generative.AI-1.0.9.dmg) | | Windows (x64) | [Open Generative AI Setup 1.0.9.exe](https://github.com/Anil-matcha/Open-Generative-AI/releases/download/v1.0.9/Open.Generative.AI.Setup.1.0.9.exe) | | Linux (Ubuntu x64) | [v1.0.9 release](https://github.com/Anil-matcha/Open-Generative-AI/releases/tag/v1.0.9) (`.AppImage` / `.deb`), or build locally with `npm run electron:build:linux`. | All releases: [github.com/Anil-matcha/Open-Generative-AI/releases](https://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** β€” Mount the DMG and drag the app to `/Applications` **Step 2** β€” Open Terminal and run: ```bash xattr -cr "/Applications/Open Generative AI.app" ``` **Step 3** β€” Right-click the app in `/Applications` β†’ click **Open** β†’ 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 β€” macOS will block it 2. Go to **System Settings β†’ Privacy & Security** 3. Scroll down to find _"Open Generative AI was blocked"_ 4. Click **Open Anyway** β†’ **Open** ### Windows Installation β€” 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: ```bash # Build Linux installers (AppImage + .deb) npm run electron:build:linux ``` Generated files are written to the `release/` folder: - **AppImage** β€” portable, run directly after making executable: ```bash chmod +x "release/Open Generative AI-*.AppImage" ./release/Open\ Generative\ AI-*.AppImage ``` - **.deb** β€” install on Debian/Ubuntu: ```bash sudo apt install ./release/open-generative-ai_*_amd64.deb ``` If AppImage fails to start on older systems, install `libfuse2`: ```bash 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 β€” 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 β€” Temporary system fix (AppImage users):** ```bash sudo sysctl -w kernel.apparmor_restrict_unprivileged_userns=0 ``` This lasts until next reboot. To make it permanent: ```bash echo 'kernel.apparmor_restrict_unprivileged_userns=0' | sudo tee /etc/sysctl.d/99-userns.conf ``` --- 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 β€” just full creative freedom. Powered by [Muapi.ai](https://muapi.ai?utm_source=github&utm_medium=readme&utm_campaign=open-generative-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 β€” all from a sleek, modern interface you can self-host and customize. **Why Open Generative AI instead of other AI Video Platforms?** - **No filters** β€” no content filters, no nanny guardrails, no prompt rejections - **Free & open-source** β€” no subscription, no vendor lock-in - **Self-hosted** β€” your data stays on your machine, full creative control - **200+ models** β€” text-to-image, image-to-image, text-to-video, image-to-video, lip sync - **Multi-image input** β€” feed up to 14 reference images into compatible models - **Lip Sync Studio** β€” animate portraits or sync lips to any audio with 9 dedicated models - **Extensible** β€” 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](https://medium.com/@anilmatcha/). ## ⚑ 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](https://github.com/leejet/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](https://github.com/deepbeepmeep/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 β†’ Local Models** to configure each. ### Engine 1 β€” 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** β€” 2.4 GB > - **FLUX VAE** β€” 335 MB **How to use:** 1. Open **Settings β†’ Local Models** in the desktop app 2. Install the **sd.cpp inference engine** (one click β€” 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 β€” 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 β€” 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. ```bash # 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 β†’ Local Models β†’ Wan2GP server**, paste the URL (e.g. `http://192.168.1.42:7860`), click **Test**, then **Save**. The Wan2GP models become available β€” 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 β€” 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 β€” 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** β€” 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 β€” 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. ```bash # 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 "$APP_DATA/models/DreamShaper_8_pruned.safetensors" \ -p "a serene mountain lake at sunrise, oil painting" \ -o /tmp/sd15-test.png \ --steps 12 -H 512 -W 512 --cfg-scale 7.5 --seed 42 \ --sampling-method euler_a ``` A healthy run on Apple Silicon prints `total params memory size = 1969.78MB (VRAM 1969.78MB, RAM 0.00MB)` (Metal-backed) and produces a coherent 512Γ—512 PNG. If `VRAM` is `0.00MB` instead, the dylib is CPU-only β€” check `otool -L "$APP_DATA/bin/libstable-diffusion.dylib" | grep -i metal` and reinstall the engine from **Settings β†’ Local Models** if Metal is missing. --- ## ✨ Features - **Image Studio** β€” 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** β€” 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 β†’ Local Models. - **Multi-Image Input** β€” 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** β€” 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** β€” Generate and edit AI audio/music from text prompts. - **AI Clipping** β€” Auto-clip and extract highlights from longer video content. - **Vibe Motion Studio** β€” Motion/animation generation studio for stylized video effects. - **Lip Sync Studio** β€” Animate portrait images or sync lips on existing videos using audio. 9 dedicated models across two modes: portrait image + audio β†’ talking video, and video + audio β†’ lipsync video. - **Body Swap (Recast) Studio** β€” Swap/recast a subject's body or appearance in an image or video. - **Cinema Studio** β€” Interface for photorealistic cinematic shots with pro camera controls (Lens, Focal Length, Aperture) - **Marketing Studio** β€” Generate ad and marketing-ready creative variations from a single input. - **Workflow Studio** β€” 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** β€” Multi-turn creative agent that plans and executes generation tasks conversationally. - **Design Agent Studio** β€” Canvas-based autonomous design agent for iterative visual work. - **Explore Apps** β€” Directory of app templates and use-cases built on the same model catalog. - **AI Influencer Studio** β€” Tools for creating and managing consistent AI persona/influencer content. - **Upload History** β€” Reference images are uploaded once and stored locally. A picker panel lets you reuse any previously uploaded image across sessions β€” no re-uploading. - **Smart Controls** β€” 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** β€” Browse, revisit, and download all past generations (persisted in browser storage) - **Image & Video Download** β€” One-click download of generated outputs in full resolution - **API Key Management** β€” Secure API key storage in browser localStorage (never sent to any server except Muapi) - **Responsive Design** β€” Works seamlessly on desktop and mobile with dark glassmorphism UI ### πŸ–ΌοΈ Image Studio β€” 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 Β· Resolution 1K/2K/4K Β· Google Search enhancement Β· aspect ratio `auto` | | **Nano Banana 2 Edit** | Image-to-Image | Up to **14 reference images** Β· Resolution 1K/2K/4K Β· Google Search enhancement | | **Seedream 5.0** | Text-to-Image | ByteDance Β· Quality basic/high Β· 8 aspect ratios Β· up to 4K | | **Seedream 5.0 Edit** | Image-to-Image | ByteDance Β· Natural language style transfer Β· Quality basic/high | | **MiniMax Image 01** | Text-to-Image | MiniMax Β· 8 aspect ratios Β· up to 4 images per request Β· 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** β€” images are sent to the model in the order you select them - **Batch upload** β€” 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 β€” 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 Β· Aspect ratios 16:9 / 9:16 / 4:3 / 3:4 Β· Duration 5 / 10 / 15s Β· Quality basic/high | | **Seedance 2.0 I2V** | Image-to-Video | ByteDance Β· Animate images into video Β· Up to 9 reference images Β· Aspect ratios 16:9 / 9:16 / 4:3 / 3:4 Β· Duration 5 / 10 / 15s Β· Quality basic/high | | **Seedance 2.0 Extend** | Video Extension | ByteDance Β· Seamlessly continue any Seedance 2.0 generation Β· Preserves style, motion & audio Β· Optional continuation prompt Β· Duration 5 / 10 / 15s Β· Quality basic/high | | **Grok Imagine T2V** | Text-to-Video | xAI Β· Duration 6 / 10 / **15s** Β· Modes: fun / normal / spicy Β· Aspect ratios 9:16 / 16:9 / 2:3 / 3:2 / 1:1 | | **Grok Imagine I2V** | Image-to-Video | xAI Β· Duration 6 / 10 / **15s** Β· Modes: fun / normal / spicy Β· Cinematic motion from still images | | **MiniMax Hailuo 02 / 2.3 Standard & Pro** | Text-to-Video / Image-to-Video | MiniMax Β· Full HD video Β· Multiple aspect ratios Β· Fast variant included | ### πŸŽ™οΈ 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 β†’ animated talking video | | **Video** | Switch to Video mode | Upload an existing video + audio file β†’ lipsync video | #### Image-based Models (Portrait Image + Audio β†’ 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-based Models (Video + Audio β†’ Lipsync Video) | Model | Endpoint | Resolutions | Prompt | | :--- | :--- | :--- | :--- | | **Sync Lipsync** | `sync-lipsync` | β€” | β€” | | **LatentSync** | `latentsync-video` | β€” | β€” | | **Creatify Lipsync** | `creatify-lipsync` | β€” | β€” | | **Veed Lipsync** | `veed-lipsync` | β€” | β€” | | **Infinite Talk V2V** | `infinitetalk-video-to-video` | 480p, 720p | Optional | **How it works:** 1. Select **Portrait Image** or **Video** mode using the toggle 2. Upload your portrait image (or video) using the image/video upload button 3. Upload your audio file using the audio upload button 4. Optionally enter a prompt to guide the motion style 5. Select a model and resolution (where supported), then click **Generate** Generation history is saved separately in `lipsync_history` and pending jobs resume automatically on page reload. ### πŸ”€ Workflow Studio The **Workflow Studio** lets you build and run multi-step AI pipelines without writing code. **Key capabilities:** - **Templates** β€” Start from pre-built workflows (image chains, video pipelines, and more) - **My Workflows** β€” Save and manage your own custom pipelines - **Community** β€” Browse and run workflows published by other users - **Node-based Builder** β€” Drag-and-drop visual editor to connect models and route outputs between steps - **Playground** β€” Run any workflow interactively with a form UI; results render inline - **API execution** β€” Every workflow is also callable via the Muapi API > πŸ’‘ **Want to add workflows to your own app?** Check out **[Vibe Workflow](https://github.com/SamurAIGPT/Vibe-Workflow)** β€” the open-source workflow engine powering this feature. Drop it into any project. ### πŸŽ₯ Cinema Studio Controls The **Cinema Studio** offers precise control over the virtual camera, translating your choices into optimized prompt modifiers: | Category | Available Options | | :--- | :--- | | **Cameras** | Modular 8K Digital, Full-Frame Cine Digital, Grand Format 70mm Film, Studio Digital S35, Classic 16mm Film, Premium Large Format Digital | | **Lenses** | Creative Tilt, Compact Anamorphic, Extreme Macro, 70s Cinema Prime, Classic Anamorphic, Premium Modern Prime, Warm Cinema Prime, Swirl Bokeh Portrait, Vintage Prime, Halation Diffusion, Clinical Sharp Prime | | **Focal Lengths** | 8mm (Ultra-Wide), 14mm, 24mm, 35mm (Human Eye), 50mm (Portrait), 85mm (Tight Portrait) | | **Apertures** | f/1.4 (Shallow DoF), f/4 (Balanced), f/11 (Deep Focus) | ### πŸ“ Upload History & Picker Every image you upload is saved locally (URL + thumbnail) so you never upload the same file twice: - Click the upload button to open the **reference image picker** - Previously uploaded images appear in a 3-column grid with thumbnails - **Single-image models** β€” click a thumbnail to instantly select and close - **Multi-image models** β€” toggle multiple thumbnails (shown with order numbers), then click **Use Selected** - Upload new images with the **Upload files** button (supports multi-file selection in multi-image mode) - Remove individual images from history with the βœ• button - History persists across browser sessions (stored in `localStorage`) ## πŸš€ Quick Start ### Prerequisites - [Node.js](https://nodejs.org/) (v18+) - A [Muapi.ai access key](https://muapi.ai/access-keys?utm_source=github&utm_medium=readme&utm_campaign=open-generative-ai). Copy the generated key value into the app; do not enter the key name or label. ### Setup > **Most users want the desktop app, not this dev path.** If you just want to run Open Generative AI on your machine, [download a prebuilt installer](#-download-desktop-app) instead β€” no Node.js required. The instructions below are for contributors building from source. Pick the entry point that matches your goal: - **Desktop app (Electron)** β†’ `npm run electron:dev` - **Hosted web version (Next.js)** β†’ `npm run dev` ```bash # Clone the repository (with submodules β€” required for the workflow + agent packages) git clone --recurse-submodules https://github.com/Anil-matcha/Open-Generative-AI.git cd Open-Generative-AI # If you already cloned without --recurse-submodules, run this once: # git submodule update --init --recursive # Install dependencies + build workspace packages (studio, workflow, agents). # This step is REQUIRED β€” `npm install` alone is not enough; the workspaces # need to be built before either dev script will work. npm run setup # Then start ONE of: npm run electron:dev # Desktop app (Electron + Vite) β€” recommended npm run dev # Hosted web version (Next.js) β†’ http://localhost:3000 ``` You'll be prompted to enter your Muapi API key on first use (skip the key if you only plan to use local models). > **Troubleshooting β€” `Couldn't find a 'pages' directory`**: this means Next.js can't see the `app/` folder. Confirm you're running `npm run dev` from the repo root (the directory that contains `app/`, `package.json`, and `next.config.mjs`), and that you cloned with submodules. Re-run `npm run setup` if `packages/Vibe-Workflow` or `packages/agents` are empty. ### Production Build ```bash npm run build npm run start ``` ### Desktop App Build Build native desktop apps with Electron: ```bash # macOS (DMG β€” Intel + Apple Silicon) npm run electron:build # Windows (NSIS installer β€” x64 + ARM64) npm run electron:build:win # Linux (AppImage + DEB β€” x64) npm run electron:build:linux # Both platforms in one pass npm run electron:build:all ``` Installers are output to the `release/` folder. Pre-built binaries are also available on the [Releases page](https://github.com/Anil-matcha/Open-Generative-AI/releases). ## πŸ—οΈ Architecture The app is a **Next.js monorepo** with a shared `packages/studio` component library. ``` Open-Generative-AI/ β”œβ”€β”€ app/ # Next.js App Router β”‚ β”œβ”€β”€ layout.js # Root layout (Tailwind, fonts) β”‚ β”œβ”€β”€ page.js # Redirects β†’ /studio β”‚ └── studio/ β”‚ └── page.js # Studio page β€” renders StandaloneShell β”œβ”€β”€ components/ β”‚ β”œβ”€β”€ StandaloneShell.js # Tab nav + BYOK (API key from localStorage) β”‚ └── ApiKeyModal.js # API key entry modal β”œβ”€β”€ packages/ β”‚ └── studio/ # Shared React component library β”‚ └── src/ β”‚ β”œβ”€β”€ index.js # Exports: ImageStudio, VideoStudio, AudioStudio, ClippingStudio, VibeMotionStudio, LipSyncStudio, RecastStudio, CinemaStudio, MarketingStudio, WorkflowStudio, AgentStudio, DesignAgentStudio, AppsStudio, AiInfluencerStudio, McpCliStudio β”‚ β”œβ”€β”€ models.js # 400+ model definitions (single source of truth) β”‚ β”œβ”€β”€ muapi.js # API client (named exports, apiKey as first param) β”‚ └── components/ β”‚ β”œβ”€β”€ ImageStudio.jsx # Dual-mode t2i/i2i studio β”‚ β”œβ”€β”€ VideoStudio.jsx # Dual-mode t2v/i2v studio β”‚ β”œβ”€β”€ LipSyncStudio.jsx # Portrait/video + audio β†’ talking video β”‚ β”œβ”€β”€ CinemaStudio.jsx # Pro studio with camera controls β”‚ └── WorkflowStudio.jsx # Multi-step pipeline builder & playground β”œβ”€β”€ next.config.mjs # transpilePackages: ['studio'] β”œβ”€β”€ tailwind.config.js └── package.json # workspaces: ["packages/studio"] ``` The `packages/studio` library is also consumed by the hosted version on [muapi.ai](https://muapi.ai?utm_source=github&utm_medium=readme&utm_campaign=open-generative-ai) β€” model updates made in `packages/studio/src/models.js` apply to both the self-hosted app and the hosted version automatically. ## πŸ”Œ API Integration The app communicates with [Muapi.ai](https://muapi.ai?utm_source=github&utm_medium=readme&utm_campaign=open-generative-ai) using a two-step pattern: 1. **Submit** β€” `POST /api/v1/{model-endpoint}` with prompt and parameters 2. **Poll** β€” `GET /api/v1/predictions/{request_id}/result` until status is `completed` Authentication uses the `x-api-key` header. During development, a Vite proxy handles CORS by routing `/api` requests to `https://api.muapi.ai`. File uploads use `POST /api/v1/upload_file` (multipart/form-data) and return a hosted URL that is passed to image-conditioned models. For multi-image models the full `images_list` array is forwarded to the API in one request. Lip sync jobs use the same two-step pattern: a dedicated `processLipSync()` method accepts `image_url` or `video_url` alongside `audio_url`, dispatches to the model's endpoint, and polls until the output video URL is available. ## 🎨 Supported Model Categories | Category | Count | Examples | |---|---|---| | **Text-to-Image** | 70+ | Flux Dev, Nano Banana 2, Seedream 5.0, Ideogram v3, Midjourney v7, GPT-4o, SDXL | | **Image-to-Image** | 70+ | Nano Banana 2 Edit (Γ—14), Flux Kontext Pro, GPT-4o Edit, Seededit v3, Upscaler, Background Remover | | **Text-to-Video** | 85+ | Kling v3, Sora 2, Veo 3, Wan 2.6, Seedance 2.0, Seedance 2.0 Extend, Seedance Pro, Hailuo 2.3, Runway Gen-3 | | **Image-to-Video** | 120+ | Kling v2.1 I2V, Veo3 I2V, Runway I2V, Seedance 2.0 I2V, Midjourney v7 I2V, Hunyuan I2V, Wan2.2 I2V | | **Video-to-Video** | 35+ | Video effects, AI Clipping, Vibe Motion, video-conditioned edits | | **Lip Sync** | 15 | Infinite Talk I2V, Wan 2.2 Speech to Video, LTX 2.3 Lipsync, LTX 2 19B Lipsync, Sync, LatentSync, Creatify, Veed, Infinite Talk V2V | | **Body Swap / Recast** | 3 | Subject/appearance recast across image and video | | **Audio** | 15+ | Text-to-music, remix, and audio editing models | (Counts verified against `packages/studio/src/models.js` β€” total 420+ models across these 8 categories, plus additional models surfaced through Marketing, Agent, and Design Agent studios.) ## πŸ› οΈ Tech Stack - **Next.js 14** β€” App Router, server components, fast dev server - **React 18** β€” Studio UI components - **Tailwind CSS v3** β€” Utility-first styling - **npm workspaces** β€” Monorepo with shared `packages/studio` library - **Muapi.ai** β€” AI model API gateway ## πŸ€” How is this different from other AI Video Platforms? **Open Generative AI** is a community-driven, open-source alternative that provides similar creative capabilities without the closed ecosystem: | | Other providers | Open Generative AI | | :--- | :--- | :--- | | **Cost** | Subscription-based | Free (open-source) | | **Content filters** | Yes β€” prompts blocked or altered | None | | **Restrictions** | Platform guardrails enforced | Full creative freedom | | **Models** | Proprietary | 400+ open & commercial models | | **Multi-image input** | Limited | Up to 14 images per request | | **Lip sync** | No | 9 models, image & video modes | | **Hosted version** | Subscription | Free at [muapi.ai/open-generative-ai](https://muapi.ai/open-generative-ai?utm_source=github&utm_medium=readme&utm_campaign=open-generative-ai) | | **Self-hosting** | No | Yes | | **Customizable** | No | Fully hackable | | **Data privacy** | Cloud-based | Your data stays local | | **Source code** | Closed | MIT licensed | ## πŸ“„ License MIT ## πŸ™ Credits Built with [Muapi.ai](https://muapi.ai?utm_source=github&utm_medium=readme&utm_campaign=open-generative-ai) β€” the unified API for AI image and video generation models. --- **Deep Dive**: For more details on the "AI Influencer" engine, upcoming "Popcorn" storyboarding features, and the future of this project, read the [full technical overview](https://medium.com/@anilmatcha/). --- *Looking for a free, open-source AI Video Platform? Open Generative AI is an open-source AI image and video generation studio β€” with no content filters that you can self-host, customize, and extend.*