Black Forest Labs' distilled 9 billion parameter image generation model with sub-second inference and multi-reference support
Settled by community votes across 2 shared challenges, with an AI judge weighing in on each.
FLUX.2 [klein] 9B
#7 of 23 in Image Editing
Not enough comparable category data
The chart appears once both models have ratings across at least three shared arena categories.
Wan 2.7
#34 of 44 in Text-to-Image
Where the votes landed
FLUX.2 [klein] 9B
50.0%
win rate
Ties
0.0%
Wan 2.7
50.0%
win rate
Challenge by challenge
The strongest take from each model on every shared challenge, with the AI judge's read.
Chalkboard Menu
Text-to-Image“Handwritten-style chalkboard menu in a cozy café, all text rendered in the exact same realistic chalk handwriting style with natural variations in letter size, slight slant, and chalk texture — no printed or digital fonts anywhere on the board. Title at the top in elegant cursive chalk handwriting: ‘TODAY’S SPECIALS – APRIL 30, 2026’. Below it, three menu items also in the same handwritten chalk style: ‘Truffle Mushroom Risotto – $24’, ‘Grilled Octopus with Lemon & Herbs – $28’, ‘Brown Butter Chocolate Chip Cookies – $9’. At the very bottom, smaller text in the identical handwritten chalk style (slightly smaller but still clearly legible with the same handwriting characteristics): ‘All items made fresh daily • Ask about our gluten-free options’. Warm ambient café lighting, visible chalk dust and smudges, realistic handwriting imperfections, no clean printed text anywhere.”
AI Judge Analysis
FLUX.2 [klein] 9B
- + Excellent chalk texture with realistic smudges and erase marks
- + Authentic handwritten variation in letter scale and baseline
- + Followed the elegant cursive style requested for the title
- − Minor spelling error at the bottom ('fress' instead of 'fresh')
- − The text is slightly less legible than a clean digital font
Wan 2.7
- + Perfectly legible text with zero spelling errors
- + Balanced composition with decorative dividers
- + Rich background environment with lights and plants adding to the cafe vibe
- − Text looks like a digital font or vector sticker rather than chalk
- − Fails to provide the 'elegant cursive' style for the title
- − The letters lack the grainy chalk texture requested in the prompt
Verdict: FLUX.2 [klein] 9B followed the stylistic instructions much more closely, delivering a rough, authentic chalk-on-board texture with genuine handwriting variations. Wan 2.7 produced a cleaner and more attractive overall scene, but the text appears to be a digital font overlay, failing the core 'natural chalk texture' and 'cursive' requirements of the prompt.
Outfit Transfer Challenge
Editing“Use Image 1 as the base person. Dress them in the exact elaborate outfit from Image 2 (including all layers, accessories, jewelry, and shoes). Carefully adapt the clothing to the body shape and pose in Image 1 while maintaining realistic fabric behavior, correct proportions, and perfect lighting/shadow matching. Keep the person’s exact face, hair, and background completely unchanged.”
AI Judge Analysis
FLUX.2 [klein] 9B
- + Successfully used the exact clothing items from Image 2, including the specific plaid scarf pattern and pea coat style.
- + Preserved the person's face and unique vitiligo patterns with high accuracy.
- + Correctly matched the pose and lighting of the person to the new clothing.
- − Included extra jewelry (long gold beads) that were not present in Image 2.
- − Slightly changed the background details, adding more debris on the beach.
Wan 2.7
- + Successfully changed the person's pose to show full-body attire including shoes.
- + Preserved the person's face and unique hair pattern well.
- − Completely failed to use the outfit from Image 2, instead generating a generic black coat with gold embroidery.
- − Introduction of significant anatomical errors in the hands and feet.
- − Modified the light skin patches to look like gloves or paint rather than preserving the natural vitiligo pattern from Image 1.
Verdict: FLUX.2 [klein] 9B followed the prompt instructions much more accurately, successfully transferring the specific plaid scarf and navy coat from Image 2 onto the person from Image 1 while maintaining their facial features. Wan 2.7 failed to use the reference clothing entirely, generating a different outfit and introducing several anatomical distortions.
Explore each model
Alibaba's Wan 2.7 image generation and editing model for text-to-image, reference-guided generation, and instruction-based image edits