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.
Wan 2.7
19.0
arena score
#34 of 44 in Text-to-Image
Vote tally
Where the votes landed
FLUX.1 [dev]
0%
win rate
Ties
0%
Wan 2.7
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]
Wan 2.7
AI Judge Analysis
FLUX.1 [dev]
- + Strong cinematic lighting with a vibrant glowing jack-o-lantern.
- + Accurate interpretation of 'dark parchment' and 'moody night sky'.
- − Significant text errors including 'Lalloween Ranty' and 'You Tre'.
- − Did not include the spider webs requested in the border.
- − Repeats 'Time: 7pm, 7pm' and contains character artifacts like 'Archzs'.
Wan 2.7
- + Perfect text rendering for all requested fields including location and date.
- + Highly detailed border including both thorns and complex spider webs.
- + Excellent adherence to the 'vintage' aesthetic with a parchment-like texture.
- − The transition between the central image and the parchment background feels a bit like a sticker.
- − The layout is slightly cluttered compared to the simplicity of Model A.
Verdict: Wan 2.7 is significantly better because it successfully rendered all the requested text accurately, whereas FLUX.1 [dev] produced several spelling errors and formatting glitches. Wan 2.7 also followed the specific border instructions for both webs and thorns, creating a more professional invitation layout.
Next steps
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Alibaba's Wan 2.7 image generation and editing model for text-to-image, reference-guided generation, and instruction-based image edits