Image Model Comparison in ComfyUI: Ming-Image-0.1-Design vs Qwen Image 2.1

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Mia (@MiaAI_lab) evaluated Ming-Image-0.1-Design and Qwen Image 2.1 inside ComfyUI using an identical prompt and seed for an infographic layout. While both models handled the text rendering without errors, they differed substantially in visual detail and generation speed.

Key points

  1. Benchmarked inside ComfyUI on an RTX 5090 using the exact same seed and prompt for a four-step coffee infographic.
  2. Both models correctly rendered all four textual captions.
  3. Ming-Image-0.1-Design produced rich illustrations resembling a café poster, taking 90 seconds to render.
  4. Qwen Image 2.1 completed in 35 seconds but resulted in small icons with excessive empty space.
  5. The author declared Ming the winner for this specific prompt, while noting that relative performance varies by scenario.

Why it matters

Accurate in-image text generation and structured panel layouts have historically been challenging for generative image models. This direct comparison demonstrates that recent architectures can reliably follow multi-step infographic prompts, leaving practitioners to balance visual richness against generation latency.

Analysis

This test highlights continuing improvements in typography and complex prompt adherence within local ComfyUI pipelines. On an RTX 5090, Ming-Image-0.1-Design excels at filling space with relevant illustrative detail, though it incurs nearly triple the latency of Qwen Image 2.1. The benchmark provides a practical reference for selecting diffusion models based on whether raw throughput or balanced graphic design is the priority.

Original post

Mia

@MiaAI_lab · 4 October 2026

Round 2: Ming-Image-0.1-Design vs Qwen Image 2.1! This time in ComfyUI - same exact prompt, identical seed, with an auto stitched side-by-side. Full prompt in comments. - Both got all 4 captions right. - Ming: a detailed illustration for every step, like a real cafe poster. - t.co/gpMAzqNUCy

81 likes13 replies68 bookmarks10.3k views

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More posts in the thread (2)
  1. Prompt used in this video: Clean flat infographic titled "POUR-OVER IN 4 STEPS". Four numbered panels with simple icons and captions: "1 RINSE THE FILTER", "2 ADD 20G COFFEE", "3 BLOOM 30 SECONDS", "4 POUR 320G WATER". Beige background, brown accents, modern layout. HF links:
  2. @MichaelHutu Try both. It's better than Qwen in some scenarios and worse in others.
Selected replies (5)
  • @HealthRanger @MiaAI_lab Very cool, I'm loading weights and gonna try this myself on a 6000 pro, with side by side compared to qwen-image-2.1. Will share results.
  • @MichaelHutu @MiaAI_lab Wow ming seems like a great model ! Need to load the weights!
  • @Itsd0r @MiaAI_lab Who is you? great account @MiaAI_lab
  • @JamesMalsawm @MiaAI_lab This look very impressive
  • @jayleaton @MiaAI_lab Wow. Ming is amazing. How does it perform with editing existing images?

Mentioned links

Summary generated by AI (Gemini 3.8 Flash, 6 October 2026). It may contain errors – the original source is authoritative.

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