Black Forest Labs' compact, open-source image generation model with sub-second inference, optimized for production and near real-time applications with multi-reference support
Settled by community votes across 1 shared challenge, with an AI judge weighing in on each.
FLUX.2 [klein] 4B
23.8
arena score
#22 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.2 [klein] 4B
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.2 [klein] 4B
Wan 2.7
AI Judge Analysis
FLUX.2 [klein] 4B
- + Excellent cinematic lighting and atmosphere
- + Strong gothic aesthetic with twisted trees and thorny borders
- + High-quality textures on the parchment and pumpkin
- − Significant spelling errors in the title text
- − Missing several digits in the date and misspelling 'Location'
- − The text rendering is generally messy
Wan 2.7
- + Near-perfect text accuracy for all requested fields
- + Cluttered but coherent vintage illustration style
- + Excellent layout with a clearly defined scroll and event details section
- − The art style is more like a modern illustration than a 'dark parchment poster'
- − The lighting is less cinematic than Image A
- − Includes several unrequested elements like skulls and a cauldron
Verdict: While FLUX.2 [klein] 4B produces a much more atmospheric and visually striking 'moody' image, it fails significantly on text legibility and spelling. Wan 2.7 successfully renders almost all the requested text perfectly and organizes the invitation layout much better, making it the more functional choice for a party invitation challenge.
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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