FP8 quantized variant of Black Forest Labs' FLUX.1 [schnell] model, offering ~2x faster inference with reduced precision while maintaining high-quality image generation in 4 steps
Settled by community votes across 3 shared challenges, with an AI judge weighing in on each.
FLUX.1 [schnell] FP8
17.8
arena score
#36 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 [schnell] FP8
33.3%
win rate
Ties
33.3%
Wan 2.7
33.3%
win rate
33.3%
33.3% ties
33.3%
Shared challenges
3
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.”
FLUX.1 [schnell] FP8
Wan 2.7
100% wins
0% ties
0% wins
AI Judge Analysis
FLUX.1 [schnell] FP8
- + Excellent chalk texture on the board surface and lettering
- + Realistic variation in handwriting style that feels human
- − Numerous spelling errors including 'Mushnroom', 'Octopuss', and 'malk cokies'
- − Text is repetitive and cluttered with nonsensical price duplicates
Wan 2.7
- + Perfect spelling adherence for all menu items and the date
- + Consistent and attractive cursive-style font
- + Clean and professional composition with warm lighting
- − The font looks digital and lacks the requested 'natural variations in letter size' and 'chalk texture'
- − Lettering is too perfectly uniform, making it look like a graphic overlay rather than real chalk
Verdict: Wan 2.7 produced a much more usable image with perfect spelling and a clean layout, although it ignored the request for realistic chalk texture and natural handwriting variations. FLUX.1 [schnell] FP8 captured the appearance of real chalk on a board much more effectively but failed significantly on text accuracy and spelling.
The Reversed Rodeo
Text-to-Image“Horse riding astronaut in space — horse on top, not vice versa. Surreal, highly detailed, cinematic.”
FLUX.1 [schnell] FP8
Wan 2.7
0% wins
50% ties
50% wins
AI Judge Analysis
FLUX.1 [schnell] FP8
- + Excellent adherence to the 'horse on top' spatial instruction
- + Cinematic lighting and high level of detail on the horse and machinery
- + Strong surreal atmosphere with the horse riding a life-support-style backpack
- − Confusing anatomy with multiple horse segments or a second head emerging from the back
Wan 2.7
- + Clean, high-resolution rendering
- + Good composition with various celestial elements
- + Accurate depiction of an astronaut suit and horse gear
- − Failed the core prompt instruction of 'horse on top, not vice versa'
- − Less 'surreal' than requested, opting for a standard fantasy trope
Verdict: This was a logic-test prompt where the model was asked to invert the typical 'astronaut riding horse' scene. FLUX.1 [schnell] FP8 correctly interpreted the instruction by placing the horse on top of the astronaut's equipment, whereas Wan 2.7 defaulted to the common trope and failed the primary constraint.
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 [schnell] FP8
Wan 2.7
AI Judge Analysis
FLUX.1 [schnell] FP8
- + Atmospheric cinematic lighting
- + Central glowing jack-o-lantern fits the prompt well
- − Numerous spelling errors in text
- − Date and time details are garbled
- − Border looks distorted like torn fabric rather than a designed frame
Wan 2.7
- + Excellent text rendering with perfect spelling
- + Highly detailed gothic border with thorns, webs, and skulls
- + Clearer composition that balances the vintage parchment feel with a cinematic illustration
- − Illustration style leans more towards a storybook than a 'dark parchment poster'
Verdict: Wan 2.7 is the clear winner as it followed the complex text instructions perfectly, whereas FLUX.1 [schnell] FP8 struggled with spelling and legibility. Wan 2.7 also executed the specific border and banner requests with much higher artistic detail and layout coherence.
Next steps
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