6B parameter image generation model excelling at rendering multilingual text directly in generated images
Settled by community votes across 13 shared challenges, with an AI judge weighing in on each.
LongCat-Image
#62 of 62 in Text-to-Image
Vidu Q2
#42 of 62 in Text-to-Image
Where the votes landed
LongCat-Image
0%
win rate
Ties
0%
Vidu Q2
0%
win rate
Challenge by challenge
The strongest take from each model on every shared challenge, with the AI judge's read.
Geometric Composition
Text-to-Image“A glass cube on a wooden table. Inside the cube is a small blue sphere. On top of the cube sits a red book. A green plant is behind the cube, partially visible through the glass. Soft window light from the left.”
AI Judge Analysis
LongCat-Image
- + Excellent depiction of soft window lighting from the left
- + Clean and realistic glass refractions
- + Good spatial arrangement of the plant behind the object
- − The sphere appears slightly large relative to the prompt 'small'
Vidu Q2
- + Complex and realistic shadows on the wooden table
- + High detail on the book spine and plant leaves
- + Accurate sphere size as requested
- − The lighting is very harsh and direct, contradicting the request for 'soft' light
- − The cube edges have some visual artifacts where they meet the book
Verdict: Both models followed the spatial instructions perfectly. LongCat-Image captured the 'soft window light' much better than Vidu Q2, which produced a high-contrast, harsh sunlight scene. While Vidu Q2 has more surface detail, LongCat-Image is the more successful interpretation of the specified atmosphere.
Candid Street Photography
Text-to-Image“A candid street photo of an elderly Japanese man repairing a red bicycle in light rain, reflections on wet pavement, shallow depth of field, 50mm lens, natural skin texture, imperfect framing, motion blur from passing cars, cinematic but realistic, no stylization.”
AI Judge Analysis
LongCat-Image
- + Excellent wide composition that tells a story.
- + Strong adherence to the rain, reflections, and car lights prompt.
- + The red bicycle is a central, vibrant focal point.
- − Internal logic issues with the bicycle anatomy, showing extra wheels and strange frame connections.
- − Rain effects look slightly like static lines rather than natural droplets.
Vidu Q2
- + Exceptional skin and hand texture, appearing very realistic.
- + Stronger 'candid' feel with an tight, imperfect crop.
- + Excellent mechanical rendering of the chain and gears.
- − Misses the 'motion blur from passing cars' request as the car is static and sharp.
- − The overall image feels a bit crowded compared to the requested 50mm cinematic look.
Verdict: LongCat-Image captures the atmosphere and cinematic '50mm' look perfectly, though it struggles with the physical structure of the bicycle. Vidu Q2 has superior textures and realistic skin, but it fails to include the requested motion blur and has a less balanced composition for a street photo. LongCat-Image is the winner for better adhering to the specific environmental and cinematic requirements of the prompt.
Fantasy Warrior
Text-to-Image“Close portrait of a battle-worn paladin in ornate engraved plate armor, hair braided with small beads, faint scars and dirt on the skin, warm torchlight reflecting off metal, shallow depth of field, bokeh sparks, lifelike eyes, highly detailed texture on leather straps and cloth underlayer.”
AI Judge Analysis
LongCat-Image
- + Excellent execution of bokeh sparks and warm firelight reflection
- + High-quality rendering of the engraved patterns on the breastplate
- + Clearly visible beads in multiple braids as requested
- − The facial wounds appear somewhat artificial, like paint rather than deep scars
- − The armor lacks the 'battle-worn' texture, appearing very polished
Vidu Q2
- + Superb texture work on the cloth underlayer and leather straps
- + The facial scars and skin texture look more realistic and integrated
- + Effective use of warm torchlight to define the armor's shape
- − The braiding is less prominent and does not feature 'small beads' effectively as requested
- − The sparks in the background are less distinct compared to the other model
Verdict: LongCat-Image adheres better to the specific details of the prompt like beads and sparks, creating a very clean and vibrant image. However, Vidu Q2 excels in the 'battle-worn' aesthetic with superior texture rendering and more realistic character details, making it a more convincing portrayal of the subject matter despite missing the bead detail.
Modern Clean Menu
Text-to-Image“Modern minimalist restaurant menu design, white background with colorful food photos in grid, sections for appetizers/pizza/mains, bold sans-serif fonts, vibrant accents, clean professional layout for casual dining.”
AI Judge Analysis
LongCat-Image
- + Strong use of vibrant accent colors that divide the page well
- + Clear grid-based layout that matches the prompt's structural request
- − The font is overly stylized and difficult to read
- − Includes a very large, unnecessary logo/header area that wastes space
Vidu Q2
- + Features a cleaner, more professional sans-serif typeface
- + Better organization of price points and item descriptions which feels more like a real menu
- + Higher clarity in the food photography shown in the grid
- − The 'Apecizen' and 'Appeczyers' headings are repetitive and misspelled
- − Slightly less bold use of accents compared to Model A
Verdict: Vidu Q2 is the preferred choice because it successfully creates a clean, usable menu layout with logical sections and price columns. While LongCat-Image has better color blocking, its font choices and text rendering are significantly less legible for a professional design context.
Magic Burger Explosion: Fiery Photorealism Challenge
Text-to-Image“Ad for 'Magic Burger'. Dynamic, exploded burger with all components (bun, patty, cheese, lettuce, tomato, sauce) suspended in mid-air. Emphasize photorealistic detail and a sense of motion. Dark, fiery background with glowing embers. Integrate text: 'MAGIC BURGER' as a prominent title, 'LIMITED TIME ONLY' as a secondary message, and '€6.99' in a starburst, all rendered with a fiery, glowing effect.”
AI Judge Analysis
LongCat-Image
- + Excellent text rendering with no spelling errors
- + High photographic clarity and clean lighting
- + Professional ad layout with a distinct starburst element
- − The burger is not exploded as requested; it is a solid stack
- − Lacks the sense of motion for the individual ingredients
Vidu Q2
- + Successfully follows the ‘exploded’ component instruction
- + Dynamic background with great motion and fiery energy
- + More creative interpretation of the suspended ingredients
- − Failed to render the Euro symbol correctly, using a strange hybrid character
- − Text integration is a bit cluttered at the top
Verdict: LongCat-Image produces a much cleaner, more professional advertisement with perfect text, but fails core parts of the prompt like the 'exploded' effect. Vidu Q2 captures the dynamic, exploded burger and fiery motion perfectly but fails on technical details like the currency symbol. Vidu Q2 is the winner for better following the complex spatial instructions of the prompt.
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
LongCat-Image
- + Excellent chalk-like texture on the board surface
- + Atmospheric background and realistic lighting
- + Compositionally well-balanced frame
- − Abysmal text rendering with numerous spelling errors and gibberish
- − The date is missing the 'P' in April
- − Failed to include the specific third menu item requested
Vidu Q2
- + Much better text legibility and spelling overall
- + Captured the third menu item (Brown Butter) mentioned in the prompt
- + Excellent handwritten cursive style with authentic chalk smudges
- − Several spelling errors like 'Musshoom', 'Risoto', and 'Lemepun'
- − The price for the first item was changed to $34 instead of the requested $24
- − Price for the third item became distorted symbols
Verdict: Vidu Q2 is the clear winner as it successfully rendered most of the complex text in the prompt, including the specific menu items that LongCat-Image completely failed to write. While Vidu Q2 still struggled with exact spelling and specific price numbers, LongCat-Image produced mostly gibberish text and ignored the multi-item instruction.
The Reversed Rodeo
Text-to-Image“Horse riding astronaut in space — horse on top, not vice versa. Surreal, highly detailed, cinematic.”
AI Judge Analysis
LongCat-Image
- + Features a distinct landscape that gives a sense of scale and cinematic lighting.
- + The horse's anatomy and texture provide a grounded, high-detail feel.
- − Failed the specific instructional prompt 'horse on top, not vice versa'.
- − Includes distracting artifacts like a distorted airplane in the starfield.
Vidu Q2
- + Vibrant color palette with ethereal, cosmic lighting.
- + Artistically interpreted 'space' by making the horse itself part of the nebula.
- − Failed the specific structural instruction 'horse on top, not vice versa'.
- − The harness/reins are messy and lack physical coherence.
Verdict: Both models completely failed the negative constraint and specific instruction to personify the 'horse riding the astronaut' (horse on top), instead delivering the standard 'astronaut riding a horse' trope. Vidu Q2 is slightly better due to its more imaginative use of color and lack of the bizarre artifacts seen in LongCat-Image's sky, though both missed the core logic of the prompt.
The Capybara Taxi Driver
Text-to-Image“Photorealistic scene inside a yellow New York taxi at night. A capybara is driving, wearing a yellow taxi driver cap and a dark jacket. It has a calm, professional expression and both front paws on the steering wheel. In the back seat sits a human businesswoman in a coat, looking at her phone with a completely normal, bored expression (as if this is just another normal ride). Through the windows you can see the streets of Manhattan at night with blurred lights. Realistic taxi interior, photorealistic, detailed fur and fabric, 35mm lens, night lighting with reflections, shallow depth of field.”
AI Judge Analysis
LongCat-Image
- + Features a high-quality capybara head with realistic fur texture.
- + The lighting on the taxi exterior and roof sign is vibrant and realistic.
- − The capybara's hand is depicted with human-like fingers and long claws, creating a creepy anatomical hybrid.
- − Only one paw is on the steering wheel, failing the prompt requirement.
- − Includes two passengers instead of the requested single businesswoman.
Vidu Q2
- + Perfectly adheres to the prompt by having both paws on the steering wheel.
- + The composition accurately captures the 'inside the taxi' perspective requested.
- + The businesswoman's bored expression and single passenger status correctly match the prompt.
- − The capybara's face is slightly less detailed and looks somewhat composited compared to the background.
- − Minor perspective warping on the interior dashboard.
Verdict: Vidu Q2 is the clear winner as it followed every instruction in the prompt, including the specific detail of having both paws on the steering wheel and featuring only a single passenger. LongCat-Image failed several prompt requirements, notably the passenger count and the paw placement, and produced a disquieting anatomical error with the capybara's hand.
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.”
AI Judge Analysis
LongCat-Image
- + Excellent text rendering with almost perfect spelling for the main title and banner.
- + Strong composition with a creative cutout effect in the parchment to show the landscape.
- + Sharp visual quality and high-contrast cinematic lighting.
- − Misspelled 'The Arches' as 'The Armiees' at the bottom.
- − The thorns are a bit repetitive and look like a digital overlay rather than integrated art.
Vidu Q2
- + Atmospheric integration of the twisted trees and spider webs into the border.
- + The parchment texture feels more authentic and vintage.
- − Significant spelling errors throughout, including 'Intovztion' and 'might of fiigts'.
- − Incorrect date and time formatting compared to the prompt (30.70.2025).
- − The central jack-o-lantern lacks the professional polish found in the other model.
Verdict: LongCat-Image is the clear winner due to its superior text rendering and adherence to the prompt's specific details. While Vidu Q2 captures a nice vintage atmosphere, it suffers from severe spelling errors and fails to correctly output the requested event details, whereas LongCat-Image delivers a clean, usable graphic design layout.
Isometric Miniature Diorama Scenes
Text-to-Image“Create a clear, 45° top-down isometric miniature 3D cartoon scene of Japan's signature dish: sushi, with soft refined textures, realistic PBR materials, gentle lighting, on a small raised diorama base with minimal garnish and plate. Solid light blue background. At top-center: 'JAPAN' in large bold text, 'SUSHI' below it, small flag icon. Perfectly centered, ultra-clean, high-clarity, square format.”
AI Judge Analysis
LongCat-Image
- + Excellent typography with clean, bold execution.
- + Superior clay-like 3D textures that fit the 'miniature' prompt perfectly.
- + High-clarity lighting and shadows create a professional diorama feel.
- − The flag icon is stylized enough to appear slightly warped in its waving effect.
Vidu Q2
- + Includes a wider variety of sushi items.
- + Good adherence to the 45-degree isometric angle.
- + Features a playful flag icon integration.
- − The 'SUSHI' text is slightly misaligned with the 'JAPAN' text.
- − The surface details on the sushi look a bit more plastic and less 'refined' than the competitor.
- − The base contains some odd, indistinct small artifacts at the corners.
Verdict: LongCat-Image delivers a more polished and professional final result, particularly in the rendering of textures and the sharpness of the typography. While Vidu Q2 offers more variety in the sushi itself, its text alignment and material quality are slightly inferior to LongCat-Image's clean, cohesive 3D aesthetic.
Adorable Baby Animals in Sunny Meadow
Text-to-Image“Hyper-photorealistic scene of fluffy baby animals—a golden retriever puppy, tabby kitten, baby bunny, and red fox kit—with big expressive eyes and ultra-detailed soft fur, playfully chasing butterflies and tumbling together in a lush wildflower meadow, warm golden sunrise light with god rays and dew sparkles, joyful wholesome vibe, 8K masterpiece.”
AI Judge Analysis
LongCat-Image
- + Strong implementation of god rays and golden hour lighting
- + Clear, high-quality textures on the fur of the main subjects
- + Vibrant colors and a very high-quality artistic finish
- − Serious anatomical failure, merging the kitten and bunny into a single 'cat-rabbit' hybrid
- − The butterfly and water droplets appear pasted on rather than integrated into the scene
Vidu Q2
- + Successfully includes all four distinct animal species requested
- + More dynamic composition showing the animals actually playing and leaping
- + Better integration of the butterflies and wildflowers within the environment
- − One of the puppies has a slightly distorted paw
- − Lower overall sharpness compared to the other model
Verdict: While LongCat-Image has beautiful lighting and rendering, it failed significantly on the prompt by merging the kitten and bunny into one surreal creature. Vidu Q2 followed the prompt much more accurately by providing each distinct animal type in a lively, playful composition that better captured the 'tumbling' and 'chasing' aspects of the request.
Vintage Cafe Logo
Text-to-Image“Vintage minimalist restaurant logo for "Caffè Florian", retro cloche dome with steam and "Est. 1720" banner, classic typography, warm brown and cream tones, subtle texture on light background, vector emblem style.”
AI Judge Analysis
LongCat-Image
- + Excellent typography rendering with almost perfect spelling
- + Strong woodcut/etched texture that fits the vintage theme
- + Well-integrated composition of the cloche and banner elements
- − Includes a repetitive 'Caffé' word within the graphic
- − The steam effect is a bit heavy-handed for a minimalist prompt
Vidu Q2
- + Elegant and clean vector-style cloche illustration
- + Sophisticated warm color palette and soft lighting
- + Good use of white space
- − Severe spelling errors in both the main title and 'Est.' banner
- − Includes redundant and malformed text at the bottom of the frame
- − Fails to correctly render the 'Florian' brand name
Verdict: LongCat-Image is the clear winner because it successfully renders the requested text 'Caffè Florian' and 'Est. 1720' with high accuracy and a charming vintage texture. Vidu Q2 produces a cleaner vector illustration but fails significantly on typography, generating multiple spelling errors like 'FARMIIN' and 'Esttt'.
Apollo 11: Journey to Tranquility
Text-to-Image“Create a clean, modern vector infographic poster about the Apollo 11 mission. NASA-inspired palette (navy, white, muted red, light gray). Flat-vector style, crisp lines, consistent iconography, subtle gradients only. Steps (stop at landing): 1. Launch (Saturn Vicon) 2. Earth Orbit (Earth + orbit ring icon) 3. Translunar (trajectory arc icon) 4. Lunar Orbit (Moon + orbit ring icon) 5. Descent (lunar module descending icon) 6. Landing (lunar module on the surface icon) Small supporting elements (minimal text): • Crew strip: three silhouette icons with only last names: Armstrong, Aldrin, Collins. • Landing site marker: Moon pin labeled "Tranquility" only. Layout constraints: generous margins, large readable labels, clean background with subtle stars. Vector-only, print-poster look, high resolution.”
AI Judge Analysis
LongCat-Image
- + Stronger adherence to the navy and white NASA-inspired color palette
- + The landing illustration is detailed and thematic
- + Text rendering is bold and stylized, though largely illegible
- − Fails to include all 6 requested steps, showing only a few disconnected icons
- − Layout is cluttered and lacks clear logical flow for an infographic
- − The rocket icon looks more like a modern space shuttle than a Saturn V
Vidu Q2
- + Better adherence to the sequential 6-step structure requested in the prompt
- + Clean, modern flat-vector aesthetic with consistent iconography
- + Includes distinct icons for launch, orbit, translunar, and descent phases
- − Background is a bit pale/washed out compared to the 'navy' request
- − The text labels are gibberish despite attempting a numbered sequence
- − Icon for Earth Orbit and Lunar Orbit are very similar, lacking variety
Verdict: Vidu Q2 is the winner because it successfully follows the instructional structure of the prompt, providing distinct icons for the various phases of the mission in a logical sequence. LongCat-Image fails to create a coherent infographic, missing most of the specific steps and opting for a chaotic layout that does not function as a set of 'steps'.
Explore each model
ShengShu Technology's text-to-image and reference-to-image model with support for character consistency and multi-reference image processing