No censorship, no restrictions—an open-source AI image and video tool is here, and it’s about time. Want to use top models like Flux, Kling, Sora, and Veo to generate images and videos, but stuck behind platform content filters and paywalls? Now an open-source project has open-sourced all these capabilities directly.

Open-Generative-AI is a feature-complete open-source AI multimedia creation platform that integrates 200+ generative models, including dedicated studios for image, video, lip sync, cinematic controls, and workflows.

Key highlights:

• No content filters – generate whatever you want
• Native 1080p video output
• Multi-studio integration – image → video → lip sync → cinematic camera moves, all in one workflow
• Local + cloud dual mode – supports local inference and cloud API usage
• Desktop app – ready-to-use for macOS, Windows, Linux
• Fully open source and free – MIT license, self-hostable

Simply put, it open-sources the core capabilities of today’s mainstream commercial AI image and video platforms, without all the restrictions. That’s a game-changer.

🔗 GitHub: https://github.com/Anil-matcha/Open-Generative-AI

Anyone interested in AI image and video creation should definitely check this out.

#AI #video #toolshare #opensourcepowerhouse

Anil-matcha/Open-Generative-AI

Source: https://github.com/Anil-matcha/Open-Generative-AI

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

The free, open-source alternative to AI Video Platforms. Generate AI images and videos using 200+ state-of-the-art models — no content filters, no closed ecosystem, no subscription fees.

Community: Join Reddit & Discord (https://discord.gg/QhTrNRU4r3) for discussions and support

Latest Gemini Omni model from Google best prompts and resources: Gemini Omni Resources (https://github.com/Anil-matcha/Awesome-Gemini-Omni-API-Prompts)

🤖 Automate media generations with AI coding agents: Generative-Media-Skills (https://github.com/SamurAIGPT/Generative-Media-Skills) — a library of skills that let agents like Claude Code, Codex, and other coding assistants drive 200+ image/video models end-to-end (prompt → generate → edit → stitch) directly from your terminal. Perfect for building automated media pipelines without touching a UI.

🍌 Claude Fable 5 use cases + 20% off on MuAPI: awesome-claude-fable-5 (https://github.com/Anil-matcha/awesome-claude-fable-5) — 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).

🎨 Explore 50+ more open-source AI apps → (https://github.com/Anil-matcha/awesome-generative-ai-apps)

Related Projects

• awesome-claude-fable-5 (https://github.com/Anil-matcha/awesome-claude-fable-5) — 60 curated Claude Fable 5 use cases, prompts, and benchmarks — get 20% off Fable 5 via MuAPI
• Generative-Media-Skills (https://github.com/SamurAIGPT/Generative-Media-Skills) — Use these models as AI agent skills in Claude Code, Cursor, and Gemini CLI
• AI-Youtube-Shorts-Generator (https://github.com/SamurAIGPT/AI-Youtube-Shorts-Generator) — Auto-generate viral YouTube Shorts from long-form videos using AI
• muapi-cli (https://github.com/SamurAIGPT/muapi-cli) — Official CLI for MuAPI — run these models from your terminal
• Vibe-Workflow (https://github.com/SamurAIGPT/Vibe-Workflow) — Node-based AI workflow builder for generative image & video pipelines
• Text-To-Video-AI (https://github.com/SamurAIGPT/Text-To-Video-AI) — Lightweight text-to-video script — no UI required
• muapi-comfyui (https://github.com/SamurAIGPT/muapi-comfyui) — ComfyUI nodes for 100+ MuAPI models
• n8n-nodes-muapi (https://github.com/SamurAIGPT/n8n-nodes-muapi) — n8n community nodes for MuAPI — automate media generation
• Open-AI-Design-Agent (https://github.com/Anil-matcha/Open-AI-Design-Agent) — Open-source autonomous AI design agent
• Free-AI-Social-Media-Scheduler (https://github.com/Anil-matcha/Free-AI-Social-Media-Scheduler) — Free open-source AI social media scheduler — self-hostable alternative to Buffer and Hootsuite

🌐 Try it Online — No Install Required

Hosted version: https://muapi.ai/open-generative-ai

Use all four studios (Image, Video, Lip Sync, Cinema) 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 (https://x.com/matchaman11) for updates

⬇️ 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 (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 — Mount the DMG and drag the app to /Applications

Step 2 — Open Terminal and run:

bash 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:

bash # 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:

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

• .deb — 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 — 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):

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 — just full creative freedom. Powered by Muapi.ai (https://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 (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:

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

Engine 1 — sd.cpp (bundled)

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.

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 → 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).

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.

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 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.

✨ 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.
• 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.
• Cinema Studio