Local AI Image Critic Tool Uses Ollama Vision Models for Feedback

A developer has released a free desktop application that provides AI image critique using local vision models through Ollama. The tool analyzes AI-generated images and generates structured feedback reports without requiring cloud services.
Key Features
- Runs 100% locally using Ollama vision models
- Uses llama3.2-vision by default, but can be switched to other vision models
- Generates clean reports with specific sections
- Works with both Flux/SD3 anime-style generations and photorealistic images
Report Structure
- What Looks Great - Positive aspects of the image
- What Could Be Improved - Areas needing enhancement
- Quick Scores - Ratings for Anatomy, Color Harmony, and Mood
- Overall Rating - With reasoning behind the assessment
- Prompt Upgrade Suggestion - Specific phrases to add to prompts for better next generations
Requirements
The tool requires Ollama to be already installed and a vision model pulled. The developer notes that if you don't have Ollama set up, this tool isn't suitable for you.
Current Status and Feedback Request
The developer has shared screenshots of the application interface and two example analyses. They're seeking feedback from users who actually work with vision models, asking what additional features would be useful. Potential improvements mentioned include more score categories, batch processing capabilities, and different focus options.
📖 Read the full source: r/LocalLLaMA
👀 See Also

Open-source markdown vault gives Claude persistent memory across sessions
My Portable Brain is a markdown vault structure with an agent runtime layer that provides Claude with persistent context about identity, projects, goals, CRM, and weekly plans. It works natively with Claude Code and Claude Cowork, uses plain markdown files, and runs background scripts nightly to keep context fresh.

Claude Skills Silently Override Instructions: Undocumented Pitfalls Exposed
User discovers Claude skills silently enforce hard limits on user input via `ask_user_input_v0` (max 3 questions, 4 options each), `Write` overwrites files while `create_file` refuses on Claude.ai, and relative paths in `references/` don't resolve. A community repo catalogs findings.

nan-forget: Local AI coding memory in a single SQLite file
nan-forget is a memory tool for AI coding agents that stores context in a single SQLite file (~3MB) with no background services. It uses a 3-stage retrieval pipeline and works across Claude Code, Cursor, and terminal via CLI.

OMAR: Open-Source TUI for Managing Hundreds of AI Coding Agents Hierarchically
OMAR is a terminal-based dashboard that lets you manage swarms of coding agents (Claude Code, Codex, Cursor, Opencode) in hierarchical orgs. Built on tmux. Features agent-managing-agent hierarchies, heterogeneous backends, and Slack integration.