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OmniGen v2 VectorSpaceLab Wan 2.6 Alibaba

Settled by community votes across 15 shared challenges, with an AI judge weighing in on each.

OmniGen v2

16.9 arena score

#56 of 62 in Text-to-Image

Skill signature · Text-to-Image

Wan 2.6

23.3 arena score

#28 of 62 in Text-to-Image

Top 2 in Image-to-Video
Vote tally

Where the votes landed

OmniGen v2

0%

win rate

Ties

0%

Wan 2.6

0%

win rate

Shared challenges 15

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.”

OmniGen v2
Wan 2.6

AI Judge Analysis

OmniGen v2

  • + Excellent adherence to lighting instructions with clean, soft window light.
  • + Superior spatial relationship rendering between the glass cube and the book.
  • + Clean and modern aesthetic with high clarity.
  • The glass cube's front face is missing its edge, making it look more like a three-sided container.
  • The plant in the background is less distinct than in the competing image.

Wan 2.6

  • + Realistic texture on the red book and wooden table.
  • + Accurately renders the plant behind the glass with realistic distortion.
  • + Stronger sense of photo-realism and depth.
  • The sphere appears to be sitting on a mirrored base within the cube, rather than just being inside a simple cube.
  • The blue sphere is slightly larger than the 'small' sphere requested.
  • The lighting is a bit harsh compared to the 'soft' light requested.

Verdict: Both models followed the complex spatial instructions perfectly. OmniGen v2 produced a cleaner, more minimalist image with better lighting, but Wan 2.6 achieved a much higher level of textural realism and correctly handled the optical distortion of the plant through the glass. Wan 2.6 is the winner for its superior photographic quality and physical accuracy.

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.”

OmniGen v2
Wan 2.6

AI Judge Analysis

OmniGen v2

  • + Natural rain reflections on the ground
  • + Clean and vibrant red color on the bicycle
  • Man is standing and holding the bike rather than repairing it
  • Composition feels staged and symmetrical, lacking the 'candid' and 'imperfect framing' request
  • The rain effect looks like a generic overlay filter

Wan 2.6

  • + Strong adherence to the 'repairing' action with realistic crouching posture
  • + Excellent skin texture and detailed weathering on the clothing
  • + Successfully captures motion blur from a passing car and a candid street atmosphere
  • The raindrops on the jacket are slightly oversized and consistent in shape
  • Rear bicycle wheel has some structural clipping near the mudguard

Verdict: Wan 2.6 followed the complex prompt requirements significantly better than OmniGen v2, specifically capturing the 'repairing' action, motion blur, and the 'candid' street aesthetic. While OmniGen v2 produced a clean image, it failed to fulfill the core activity and the requested 50mm candid feel, appearing more like a posed studio shot.

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.”

OmniGen v2
Wan 2.6

AI Judge Analysis

OmniGen v2

  • + Features very clean and high-contrast engraving on the armor.
  • + Accurately represents the braided hair with beads as requested.
  • + The skin texture and lighting are pleasing and smooth.
  • The subject looks too pristine and 'glamour' for the 'battle-worn' and 'scarred' description.
  • Dirt on the face appears like stylized freckles or makeup rather than actual grime.

Wan 2.6

  • + Excellent adherence to the 'battle-worn' aesthetic with realistic grime, scars, and sweat.
  • + Incredible detail on the leather straps, tattered cloth underlayer, and mail armor.
  • + Atmospheric lighting with dynamic bokeh sparks and realistic torchlight reflections.
  • The character's expression is slightly more vacant than the determined look in Image A.

Verdict: Wan 2.6 is the clear winner as it perfectly captures the gritty, 'battle-worn' atmosphere requested in the prompt, whereas OmniGen v2 produced a clean, idealized portrait that ignored the request for scars and significant dirt. Wan 2.6 also excelled at rendering complex textures like the frayed cloth and weathered leather straps.

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.”

OmniGen v2
Wan 2.6

AI Judge Analysis

OmniGen v2

  • + Clear categorization layout with distinct sections for different food items.
  • + Uses vibrant color blocks behind photos to enhance the modern feel.
  • + Good use of professional food photography within the grid.
  • Significant spelling errors in every large header (e.g., PIZZZZAN, APPTETIZES).
  • Very small, illegible body text that looks like blurred artifacts.
  • Inconsistent layout between the left and right pages.

Wan 2.6

  • + Excellent font rendering and bold sans-serif typography.
  • + Logical grid layout of food photos that feels realistic for a casual dining menu.
  • + Superior text legibility for item prices and headers like PIZZA and MAINS.
  • Several spelling errors in the main title and subtext.
  • The image grid predominantly shows pizza, lacking variety for appetizers and distinct mains.

Verdict: Wan 2.6 is the clear winner as it produces a much more realistic and usable menu design with clean typography and a professional grid layout. While both models struggle with spelling, Wan 2.6's text rendering is sharp and readable, whereas OmniGen v2 displays distorted characters and illegible body text.

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.”

OmniGen v2
Wan 2.6

AI Judge Analysis

OmniGen v2

  • + Clean and legible typography
  • + Well-defined starburst element
  • + Vibrant colors and high contrast
  • Failed to produce an 'exploded' burger, showing a standard stacked burger instead
  • Missing the '€' currency symbol in the price
  • Visual style leans more towards graphic illustration than photorealistic motion

Wan 2.6

  • + Perfectly followed the 'exploded burger' layout with suspended components
  • + Excellent typography with the requested fiery, glowing effect
  • + High level of photorealistic detail and sense of motion
  • A small amount of visual clutter with smoke and embers partially obscuring the base
  • The top bun has a slight 'melting' artifact where sauce connects to it

Verdict: Wan 2.6 is the clear winner as it followed every instruction in the prompt, including the complex request for an 'exploded' view of the burger and the specific fiery text effects. OmniGen v2 failed the primary structural requirement of the image by generating a standard stacked burger and missed the currency symbol in the price.

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.”

OmniGen v2
Wan 2.6

AI Judge Analysis

OmniGen v2

  • + Contains most of the keywords from the prompt
  • + Clean chalk-like texture on a simple background
  • Numerous spelling errors including 'SPECALS' and 'glite free'
  • Layout is cluttered and confusing with floating price tags
  • Failed to render the title in the requested elegant cursive style

Wan 2.6

  • + Flawless text rendering with perfect spelling across all items
  • + Excellent atmospheric lighting and realistic chalk texture including dust on the ledge
  • + Perfectly followed stylistic instructions for cursive title and handwritten list
  • Slight cropping on the very edge of the 'S' in 'SPECIALS'

Verdict: Wan 2.6 is the clear winner as it followed every instruction perfectly, including complex text strings and specific stylistic requests for cursive handwriting. OmniGen v2 struggled significantly with text legibility, spelling, and logical layout, producing garbled words like 'Musonhom' and 'Lemont'.

The Reversed Rodeo

Text-to-Image

“Horse riding astronaut in space — horse on top, not vice versa. Surreal, highly detailed, cinematic.”

OmniGen v2
Wan 2.6

AI Judge Analysis

OmniGen v2

  • + Clean, illustrative style with smooth textures.
  • + Clearly identifiable space background with multiple moons/planets.
  • Failed the negative constraint; the astronaut is riding the horse.
  • Flat lighting and lack of cinematic depth.
  • The horse's legs are cut off at the bottom of the frame.

Wan 2.6

  • + Highly cinematic aesthetic with dynamic lighting and nebula details.
  • + Excellent texture on the astronaut suit and horse hair.
  • + More sophisticated composition with a galloping pose.
  • Failed the negative constraint; the astronaut is riding the horse.
  • Minor distortion in the horse's front leg anatomy.

Verdict: Both models completely failed to follow the unusual prompt instruction to place the 'horse on top' of the astronaut, instead defaulting to the common trope of an astronaut riding a horse. Wan 2.6 is the clear winner for its superior visual quality, cinematic atmosphere, and detailed execution compared to the more simplistic, clip-art style of OmniGen v2.

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.”

OmniGen v2
Wan 2.6

AI Judge Analysis

OmniGen v2

  • + High resolution and clean rendering
  • + Vibrant colors matching the yellow taxi theme
  • Anatomical failure where human driving hands are coming out of the capybara's body
  • The woman is sitting in the front passenger seat instead of the back seat
  • The capybara looks more like a 2D cutout pasted onto a human figure

Wan 2.6

  • + Perfect adherence to characters' positions with the woman correctly in the back seat
  • + High level of realism and environmental atmosphere including rain and city lights
  • + The capybara's paws are correctly placed on the steering wheel
  • The woman's expression is slightly more frustrated/worried than 'bored'
  • Slight text artifacts on the taxi rooftop sign

Verdict: Wan 2.6 is the clear winner as it accurately follows the spatial instructions of the prompt, placing the passenger in the back seat and correctly rendering the capybara's paws on the wheel. OmniGen v2 suffers from a major anatomical hallucination, blending human hands onto the capybara and placing the passenger in the front seat.

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.”

OmniGen v2
Wan 2.6

AI Judge Analysis

OmniGen v2

  • + Strong graphic design layout that looks like a modern digital poster.
  • + Clear and bold typography for the main title.
  • Several spelling errors in the secondary text (e.g., 'PRIOTS', 'ARCAS', 'Loctes').
  • The illustration style is 2D and flat, lacking the 'cinematic' and 'vintage' feel requested.

Wan 2.6

  • + Excellent adherence to the 'vintage gothic' style with cinematic, realistic lighting.
  • + Near-perfect text rendering, including the specific scroll banner and fine event details.
  • + Richly detailed border with thorns and cobwebs that perfectly matches the prompt.
  • The date text '30.10.2026' is slightly small, though still legible.

Verdict: Wan 2.6 is the clear winner as it successfully captured the 'vintage gothic' and 'cinematic' aesthetic while maintaining almost perfect text accuracy. OmniGen v2 produced a much flatter, cartoonish graphic with multiple spelling errors and failed to incorporate the requested thorn elements effectively.

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.”

OmniGen v2
Wan 2.6

AI Judge Analysis

OmniGen v2

  • + Excellent typography with clean drop shadows
  • + Vibrant colors and high-clarity 3D rendering
  • + Strong adherence to the cartoon aesthetic
  • The flag icon is incorrect (wrong colors/layout)
  • The sushi anatomy is strange, looking more like salmon-colored shrimp/insect hybrids

Wan 2.6

  • + Accurate Japanese flag icon integrated with the text
  • + Better 3D diorama perspective and lighting
  • + Wide variety of sushi types on a traditional wooden board
  • The 'S' in 'SUSHI' is slightly malformed
  • Colors are a bit more muted than the prompt suggests

Verdict: Wan 2.6 is the winner as it accurately rendered the Japanese flag and provided a much more sensible representation of sushi on a traditional wooden board. While OmniGen v2 has cleaner text rendering, its failure on the specific flag request and the odd biological structure of the sushi pieces makes it less effective overall.

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.”

OmniGen v2
Wan 2.6

AI Judge Analysis

OmniGen v2

  • + Features vibrant, cheerful colors and lighting
  • + Captures the 'big expressive eyes' aspect of the prompt effectively
  • Failed to include the bunny, missing one of the four requested animals
  • The style is cartoonish and illustrative rather than the requested 'hyper-photorealistic'
  • Static composition fails to show the animals 'chasing' or 'tumbling'

Wan 2.6

  • + Excellent adherence to the 'hyper-photorealistic' instruction with realistic fur textures
  • + Includes all four requested animals (puppy, kitten, bunny, and fox kit)
  • + Dynamic composition perfectly captures the 'playfully chasing' and 'tumbling' action
  • The fox's front paw has some slightly awkward anatomical blending with the grass

Verdict: Wan 2.6 is the clear winner as it successfully rendered all four requested animals with high realism and dynamic action, whereas OmniGen v2 missed the bunny and produced a static, stylized illustration. Wan 2.6 also followed the lighting and atmospheric cues much more convincingly, providing a cinematic, high-quality result.

Studio Ghibli Anime Style

Editing
Edit instruction

“Transform this photo into a Studio Ghibli–inspired illustration. Use soft pastel colors, hand-painted textures, gentle lighting, dreamy backgrounds, and a warm, nostalgic mood”

Source
OmniGen v2
Wan 2.6

AI Judge Analysis

OmniGen v2

  • + Excellent preservation of the original meme's composition and character poses
  • + Clean anime-style cel shading and line art
  • Fails to capture the emotional nuances, making the 'jealous' girlfriend look happy and calm
  • The art style is more generic modern anime than the specific Ghibli aesthetic requested

Wan 2.6

  • + Strong adherence to the Studio Ghibli 'hand-painted' texture and watercolor aesthetic
  • + Perfectly preserves character expressions, including the girlfriend's specific look of indignation
  • + Achieves the requested soft, nostalgic lighting and color palette
  • The white speckle/bokeh effect is a bit heavy across the foreground

Verdict: Wan 2.6 is the clear winner as it successfully captures both the requested Studio Ghibli art style and the specific emotional narrative of the source meme. While OmniGen v2 provides a clean transformation, it loses the core humor of the image by changing the girlfriend's facial expression to a pleasant smile, whereas Wan 2.6 maintains her anger and his distraction within a beautiful watercolor texture.

Golden Hour Stroll

Image Editing
Edit instruction

“Add dynamic motion to this photo: make hair blow in the wind, add leaves flying, energetic and lively feel.”

Before After
OmniGen v2
Before After
Wan 2.6

AI Judge Analysis

OmniGen v2

  • + Stronger 'blowing hair' effect that significantly changes the hairstyle
  • + Added colorful leaves as requested
  • Significantly alters the faces of the woman and the dog
  • Background elements like trees and path texture are heavily smoothed and lose detail

Wan 2.6

  • + Excellent source preservation, maintaining the identity of the woman and dog almost perfectly
  • + Leaves are integrated more naturally into the depth of the scene using motion blur
  • + Hair movement is realistic without looking like a static 'hero' pose
  • The leash handle has a slight reconstruction artifact near the hand

Verdict: Wan 2.6 is the clear winner for this image editing task because it successfully added motion effects while preserving the identity and textures of the source image. OmniGen v2 essentially re-generated the entire scene, resulting in a different-looking woman and a more stylized, less realistic background.

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.”

OmniGen v2
Wan 2.6

AI Judge Analysis

OmniGen v2

  • + Clean vector-style emblem
  • + Excellent line work for a minimalist logo
  • + Accurate establishment date rendering
  • Significant spelling error in 'CaffFlorin'
  • Lacks the requested accent mark on the 'e'
  • Steam detail is a bit overly simplified

Wan 2.6

  • + Perfect adherence to text prompt including accents
  • + Subtle vintage texture on the background as requested
  • + Better integration of the steam and cloche details
  • The 'Est. 1720' banner is very small and tucked away
  • Slightly less 'minimalist' than Model A due to gradients and shadowing

Verdict: Wan 2.6 is the clear winner because it correctly spells 'Caffè Florian' with the proper accent, whereas OmniGen v2 failed the primary text element significantly. Wan 2.6 also followed the background texture and typography instructions more faithfully, creating a more professional-looking finished logo.

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.”

OmniGen v2
Wan 2.6

AI Judge Analysis

OmniGen v2

  • + Successfully captured the requested color palette flawlessly.
  • + Includes a visual layout with 6 distinct steps as requested.
  • + Executes the flat-vector infographic style effectively with clean icon placements.
  • The text is largely gibberish and misidentifies the mission as 'Apolo 17' instead of Apollo 11.
  • Icons do not specifically match the requested descriptions (e.g., missing Saturn V and trajectory arc).

Wan 2.6

  • + Correctly identifies the mission as 'Apollo 11' and spells astronaut names correctly.
  • + Maintains a clean, vertical orientation suitable for a poster.
  • Completely failed to provide the 6-step infographic steps (Launch, Orbit, etc.).
  • The image appears to be a photograph of a printed towel or fabric rather than a flat vector digital file.
  • Poor use of space, with the majority of the image being empty stars.

Verdict: OmniGen v2 correctly interpreted the structural and stylistic requirements of an infographic, providing a 6-step layout with a professional vector aesthetic, despite poor text rendering and identifying the wrong mission number. Wan 2.6 failed the primary instruction to create a 6-step progress infographic, instead creating a simple poster with astronaut names on a fabric-like texture. OmniGen v2 is preferred for following the core layout and stylistic prompts.

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