AnalysisOpinion / analysisEfficiency & Inference · Large Language Models · Evaluation & Benchmarks1 source · Oct 11, 2026

A/B Blind Taste Test - Krea2-Turbo vs. Qwen-Image 2.1 Turbo

Since Qwen 2.1 Turbo dropped suddenly right after my last taste test, figured might as well do one for it as well.

Proof1 community thread

Key points

  • Each image is either Krea2-Turbo or Qwen 2.1 Turbo, using the exact same prompt.
  • You can also guess which one of each is Krea2 or Qwen 2.1 Turbo.
  • Krea2-Turbo was the fp8 model and text encoder, but Qwen was BF16 for both model and text encoder.
  • I did test (and have in the past) different samplers and schedulers in Krea2 but overall they generally seem to all be equal, so I did not differ from the standard Euler-Simple.

Sources (1)

  • [1]A/B Blind Taste Test - Krea2-Turbo vs. Qwen-Image 2.1 Turbo
    r/StableDiffusion (top, day) · Oct 11, 10:22 PM
    Since Qwen 2.1 Turbo dropped suddenly right after my last taste test, figured might as well do one for it as well.
    Each image is either Krea2-Turbo or Qwen 2.1 Turbo, using the exact same prompt.

Extractive summary: sentences quoted from the sources.

Before this

  1. Oct 11, 2026Agents That Own Their Inference — Du'an Lightfoot & Khaja Omer, Akamai Technologies
  2. Oct 10, 2026Benefits of using bigger models than Qwen 3.8 flash next?
  3. Oct 10, 2026Engineer / developer observations of Gemma4-31B, Qwen3.8-27B, and 6.1-Sol for software engineering work
  4. Oct 9, 2026Qwen/Qwen-Image-2.1-Turbo
  5. Oct 9, 2026Introducing Clef-omni with full multimodality, plus a faster Clef and a cheaper Clef-flash
  6. Oct 8, 2026ConwayResearch/Underdog-Saluki-27B-1.0

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