iterative-image-refinement — Gemini AI Agent
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    iterative-image-refinement

    iterative-image-refinement

    dungna13 January 17, 2026
    5 copies 0 downloads

    Autonomous multi-agent framework for self-correcting image synthesis using 'Think → Generate → Critique → Refine' cycles with Gemini 3.1 and SDXL.

    <div align="center">

    🎨 IRG: Iterative Reasoning-Generation

    The Autonomous Multi-Agent Framework for Self-Correcting Image Synthesis

    Standard T2I models are static. IRG is dynamic. It thinks, critiques, and refines until perfection.

    Hugging Face Python Version FastAPI LLM Generation Paper

    <br>

    https://github.com/user-attachments/assets/0182f60d-0d8b-4cdd-a648-3194bda74b92

    (Watch IRG autonomously diagnose and fix lighting/composition issues in real-time)

    Showcase • How it Works • Quickstart • Research

    </div>

    The Value Proposition

    The Problem: Modern Text-to-Image (T2I) systems are "one-shot" black boxes. Users must manually guess new prompts when the output fails to match their intent or suffers from technical artifacts (overexposure, poor binding).

    The Solution: IRG introduces a closed-loop feedback system. Inspired by human artistic workflows, it employs a multi-agent hierarchy to perform autonomous Think → Generate → Critique → Refine cycles.

    Impact at a Glance

    • ⚡ Zero-Manual Prompting: Describe once; let the agents handle the refinement.
    • 🎯 Technical Precision: Automatically fixes Blown-Highs, Low-Contrast, and Semantic Drift.
    • 🧠 Context Awareness: Uses RAG (Retrieval-Augmented Generation) to

    Tags

    agentsaifastapigemini-apigenerative-aiimage-generationmachine-learningmulti-agent-systemspythonqwen

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