Pinokio is an open-source browser specifically built for AI applications — it discovers, installs, runs, and manages local AI tools with a single click. Instead of spending hours configuring Python environments, installing CUDA dependencies, and troubleshooting compatibility issues, Pinokio handles the entire setup automatically. It’s the fastest path from “I want to try AI tool X” to actually running it.
What Pinokio Does
Pinokio acts as a package manager and launcher for AI applications:
- Browse a curated library of 100+ AI apps
- Click “Download” — Pinokio automatically installs all dependencies
- Click “Start” — the app runs in your browser
- Update, uninstall, or switch between apps from one interface
Behind the scenes, Pinokio creates isolated environments for each app (no version conflicts), handles CUDA/GPU detection, and provides a terminal log for troubleshooting.
Supported Applications
Pinokio’s library includes virtually every major open-source AI tool:
Image Generation:
- AUTOMATIC1111 (Stable Diffusion WebUI)
- ComfyUI
- Fooocus
- InvokeAI
- StableSwarmUI
Video Generation:
- CogVideoX
- AnimateDiff
- Wan 2.1 (video generation)
Language Models:
- Ollama + Open WebUI
- LM Studio
- GPT4All
- Text Generation WebUI (Oobabooga)
Voice and Audio:
- WhisperX
- XTTS (voice cloning)
- Stable Audio
Image Editing:
- Inpaint Anything
- IC-Light (relighting)
- InstantID (face swap)
Development:
- Open Interpreter
- SillyTavern (character AI chat)
System Requirements
Minimum:
- Windows 10/11 or macOS 12+
- 8GB RAM
- 20GB free disk space (apps install separately)
Recommended for most AI tools:
- 16GB+ RAM
- NVIDIA GPU with 8GB+ VRAM (GTX 1080 Ti minimum; RTX 3070+ recommended)
- NVMe SSD for fast model loading
CPU-only: Most tools work on CPU, just significantly slower. ComfyUI on CPU can take 5-15 minutes per image vs. seconds on GPU.
Installation
- Download Pinokio from pinokio.computer
- Run the installer (Windows: .exe, macOS: .dmg)
- Launch Pinokio — it opens a browser-like interface
- Sign in or browse as guest
Installing Your First App
Stable Diffusion (AUTOMATIC1111)
- In Pinokio, search “AUTOMATIC1111” or browse the Image section
- Click the card → “Download”
- Pinokio installs Python, required packages, and downloads the base model (~5GB)
- Click “Start” when complete
- Opens at
http://localhost:7860in your browser
First-time setup: Add a model to the models/Stable-diffusion/ folder (Pinokio shows you the path). Download models from Civitai.com. Realistic Vision and SDXL are popular starting points.
ComfyUI
- Search “ComfyUI” → Download → Start
- Opens at
http://localhost:8188 - Uses a node-based workflow — more powerful than A1111 but steeper learning curve
Ollama + Open WebUI
- Search “Ollama” → Download → Start
- Separately: Search “Open WebUI” → Download → Start
- Open WebUI connects to Ollama automatically
- Pull a model from within Open WebUI:
ollama pull llama3.1:8b
Managing Multiple Apps
Pinokio’s home screen shows all installed apps with status indicators:
- Running: App is active and accessible
- Stopped: Installed but not running
- Updating: Package update in progress
Click the power icon to start/stop apps. Only run apps you’re actively using — each consumes RAM and VRAM.
Disk Space Management
AI models are large. A typical setup:
| Application | App Size | Models |
|---|---|---|
| AUTOMATIC1111 | ~8GB | 2-7GB each |
| ComfyUI | ~5GB | Same models |
| Ollama (Llama 3.1 8B) | ~5GB model | - |
| WhisperX | ~3GB | - |
Use Pinokio’s app settings to point model folders to an external drive for large libraries:
- AUTOMATIC1111: Settings → Paths → set models folder to
E:\AI\models - Ollama: Change models directory via
OLLAMA_MODELSenvironment variable
Troubleshooting Common Issues
“CUDA out of memory”: Reduce image resolution in Stable Diffusion, or lower batch size. Restart the app to clear VRAM.
Slow performance without GPU: Confirm GPU is detected. In A1111: check settings → show all pages → look for GPU memory usage. If it shows CPU, your GPU drivers may need updating.
App won’t start: Check the Pinokio terminal log (click the terminal icon on the app card) for error messages. Most common issue: conflicting port. Change port in app settings.
Models not appearing: Place model files in the exact folder shown in app settings. File extension must match (.safetensors, .ckpt).
Pinokio has fundamentally lowered the barrier to local AI — recommended as the first step for anyone wanting to explore self-hosted AI tools without investing hours in technical setup.