Black Forest Labs' 12-billion parameter flow transformer for high-quality text-to-image generation, suitable for personal and commercial use with streaming support
Settled by community votes across 1 shared challenge, with an AI judge weighing in on each.
FLUX.1 [dev]
14.9
arena score
#42 of 44 in Text-to-Image
Skill signature
Not enough comparable category data
The chart appears once both models have ratings across at least three shared arena categories.
Stable Diffusion 3.5 Medium
15.7
arena score
#41 of 44 in Text-to-Image
Vote tally
Where the votes landed
FLUX.1 [dev]
0%
win rate
Ties
0%
Stable Diffusion 3.5 Medium
0%
win rate
Shared challenges
1
Challenge by challenge
The strongest take from each model on every shared challenge, with the AI judge's read.
The Halloween Invitation
Text-to-Image“Vintage gothic Halloween party invitation. Dark parchment poster, spooky border with webs and thorns, central glowing jack-o-lantern, bats, twisted trees, moody night sky. Add elegant gothic title text saying "Halloween Party Invitation", a small scroll banner saying "You are invited to a night of frights", and event details at the bottom: Date: 30.10.2026 Time: 7pm Location: The Arches, NYC Spooky but polished, cinematic lighting, square format.”
FLUX.1 [dev]
Stable Diffusion 3.5 Medium
AI Judge Analysis
FLUX.1 [dev]
- + Strong prompt adherence for specific text strings
- + Clean, professional graphic design aesthetic with consistent lighting
- + Near-perfect spelling of the date, time, and location details
- − The main title text is corrupted into 'Lalloween Rantcl'
- − Lacks the requested parchment texture, appearing more like a modern digital poster
Stable Diffusion 3.5 Medium
- + Excellent 'vintage parchment' texture and gothic atmosphere
- + Includes both webs and thorns as requested in the border
- − Significant spelling errors throughout all text fields
- − Poor composition with text overlapping the parchment edges
- − The year is incorrectly rendered as '226' instead of '2026'
Verdict: FLUX.1 [dev] followed the layout and text instructions much more accurately, producing a usable invitation design despite a small error in the main title. Stable Diffusion 3.5 Medium captured the vintage parchment aesthetic better but failed significantly on text rendering, spelling, and character spacing.
Next steps
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Stability AI's 2.5-billion parameter Multimodal Diffusion Transformer with improvements (MMDiT-X) text-to-image model optimized for consumer hardware, featuring improved image quality, typography, and complex prompt understanding