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

Bifrost AI Gateway: Open-Source Tool Addresses AI Infrastructure Gaps
Bifrost is an open-source Go-based LLM gateway that provides automatic failover between providers, budget caps that reject requests, audit logging, and hooks for evaluation. Benchmarks show it's ~50x faster than LiteLLM at high throughput.

Kreuzberg v4.7.0 adds code intelligence for 248 languages and improved markdown extraction
Kreuzberg v4.7.0, a Rust-core document intelligence library, now supports code extraction for 248 formats via tree-sitter and has significantly improved markdown quality with Structural F1 scores over 80% across 23 formats.

Prompt-Mini: Claude Code Plugin Intercepts Vague Prompts to Reduce Credit Waste
Prompt-mini is a Claude Code plugin that intercepts vague prompts before execution, asks clarifying questions, and builds structured prompts with stack detection and specific rules for 40+ frameworks. The tool addresses 35 credit-killing patterns like missing scope, stop conditions, and file paths.

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.