Qwen3.6-27B SVG Generation with Closed-Loop Harness

A Reddit user built a closed-loop harness to maximize Qwen3.6-27B's SVG generation capabilities. The system uses the Agno framework for specifications and Pi as a coding agent. It renders the output SVG, feeds the PNG back to Qwen Vision, and applies a two-round judging system to identify problems before iterating.

Key Details

• Model: Qwen3.6-27B-UD-Q5_K_XL (quantized 27B variant)
• Framework: Agno for specifications, Pi for coding agent
• Loop: Generate SVG → render to PNG → feed PNG to Qwen Vision → judge (2 rounds) → iterate
• Prompts used:
  • Create svg image of a pelican riding a bicycle
  • Create svg image of a capybara wearing a kimono drinking matcha tea
  • Create svg image of a flamingo knitting a colorful sweater
  • Create svg image of a sushi roll wearing sunglasses driving a go-kart
  • Create svg image of a Victorian-era robot reading a newspaper in a cafe
  • Create a svg image of a time-lapse composite showing a flower blooming, wilting, and transforming into butterflies across four seasons, all in one frame with seasonal lighting
• Requirement: Long context is a must for the iterative process

The harness is available for experimentation. Attached results show improved SVG quality over single-shot generation.