Nandhu S KumarAI & MACHINE LEARNING
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AI Image Transformer

An image editing application that analyzes a source image, generates changes, and uses feedback for revisions.

DISCIPLINE

AI Agents

TIMELINE

Started September 2025

BUILT WITH

SmolAgents, FLUX.1, GPT

System architectureFIG. 06
ANALYZESOURCE IMAGEGENERATEPROMPT +MODELREVIEWUSERFEEDBACKITERATE & REFINE
  1. Source image

    The user supplies an image and a desired creative direction.

  2. Analysis

    AI models interpret the image and develop a transformation prompt.

  3. Generation

    FLUX.1 participates in the image generation workflow orchestrated with SmolAgents.

  4. Refinement

    User feedback guides subsequent prompt and image revisions.

AI AgentsConceptual overview
INSIDE THE SYSTEM / SELECT A STAGE

The user supplies an image and a desired creative direction.

Problem

Image editing often takes several attempts. I wanted to connect image analysis, generation, and user feedback in one application.

Implementation

I built a web application using Hugging Face SmolAgents with FLUX.1 and GPT systems. It analyzes the source image, generates prompts, and refines outputs using user feedback.

Technical decisions

  • Used SmolAgents to coordinate the workflow between AI models.
  • Separated image analysis, prompt generation, and image transformation.
  • Integrated user feedback into subsequent refinement rounds.

Results

Users can submit an image, review the generated version, and provide feedback for the next revision.

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