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AI Models · Comparison

FLUX.1 vs Stable Diffusion 3.5

Updated Jun 15, 2026 · 1 min read
FLUX.1VSStable Diffusion 3.5
Quick Answer
Best overallDepends on use
Best qualityFLUX.1
Best for open/commercialStable Diffusion 3.5
Best free & fastFLUX.1 [schnell]

Side-by-Side Comparison

How FLUX.1, Stable Diffusion 3.5 compare across the features that matter most.

FeatureFLUX.1Stable Diffusion 3.5
DeveloperBlack Forest LabsStability AI
ReleasedAugust 2024October 2024
ArchitectureRectified flow transformer, 12B paramsMultimodal Diffusion Transformer (MMDiT)
Variantspro (API), dev (open, non-commercial), schnell (Apache 2.0)Large (8.1B), Large Turbo, Medium (2.5B)
Licensingschnell Apache 2.0; dev non-commercial; pro closed APIStability AI Community License (open)
Fast optionschnell generates in 1-4 stepsLarge Turbo generates in 4 steps
Native resolution1024x1024, flexible aspect ratiosUp to 1MP (Large); 0.25-2MP (Medium)
Best forState-of-the-art quality & prompt adherenceOpen, tunable image generation at multiple sizes

KLYROO Test

Our comparison philosophy is to evaluate tools with consistent tasks and realistic workflows across categories such as writing, coding, research, reasoning, image generation, summarization and data analysis. Where we have not run a controlled head-to-head, we label the assessment clearly: this comparison is an editorial evaluation based on documented features and available evidence. We never invent benchmark numbers.

Which One Should You Choose?

  • Choose FLUX.1 for cutting-edge image quality and prompt adherence, with an Apache-2.0 'schnell' for free/fast use.
  • Choose Stable Diffusion 3.5 for a permissive community license and variants that scale from consumer GPUs up.
  • Both are open-weight, available on Hugging Face and run locally via ComfyUI/Diffusers.

Frequently Asked Questions

It depends on your use case. Overall we lean toward Depends on use, but the best pick varies by need — see the recommendations above.
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