Alibaba's multimodal generation model from the Wan AI suite, supporting text-to-video, image-to-video, reference-to-video with audio, and text-to-image, in both Chinese and English

Wan 2.6 generated video of A hyper-realistic close-up of a neon-lit glass signage that reads "LUMINESCEN...
Wan 2.6 generated video of A hyper-realistic close-up of a neon-lit ramen shop window with a glowing sig...
Supported Modes
Text to Image Image Edit Text to Video Image to Video Video to Video
Active

Details

Model ID
wan-2.6
Creator
Family
wan
Released
December 2025
Tags
video-generation text-to-video image-to-video audio-generation image-generation text-to-image
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Access wan-2.6 via our unified API.

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Available at 2 providers
Image Generation

Starting from

$0.030 /image via Alibaba Cloud, fal.ai

Prices shown are in USD

Available at 1 provider
Video Generation

Starting from

$0.100 /second via Alibaba Cloud

Popular formats

720p (1280×720)
~$0.100
1080p (1920×1080)
~$0.150

Prices shown are in USD

Provider Performance

Fastest generation through alibaba at 19,794ms median latency with 100.0% success rate.

Aggregated from real API requests over the last 30 days.

Generation Time

alibaba
19,794ms p95: 112,036ms

Success Rate

alibaba
100.0%
111 / 111 requests

Time to First Byte

alibaba
14,546ms
p95: 19,300ms

Provider Rankings

# Provider p50 Gen Time p95 Gen Time Success Rate TTFB (p50)
1 alibaba 19,794ms 112,036ms 100.0% 14,546ms
Data updated every 15 minutes. Based on all API requests through Lumenfall over the last 30 days.

Providers & Pricing (6)

Wan 2.6 is available from 6 providers, with per-video pricing starting at $0.03 through Alibaba Cloud.

Alibaba Cloud
Text to Image
alibaba/wan-2.6-image
Provider Model ID: wan2.6-t2i
$0.030 /image
fal.ai
Image Edit
fal/wan-2.6-edit
Provider Model ID: wan/v2.6/image-to-image
$0.030 /image
fal.ai
Text to Image
fal/wan-2.6-image
Provider Model ID: wan/v2.6/text-to-image
$0.030 /image
Alibaba Cloud
Text to Video
alibaba/wan-2.6
Provider Model ID: wan2.6-t2v

Output

Second 1080p
$0.150
Second 720p
$0.100
View official pricing • As of
Alibaba Cloud
Image to Video
alibaba/wan-2.6-i2v
Provider Model ID: wan2.6-i2v

Output

Second 1080p
$0.150
Second 720p
$0.100
View official pricing • As of
Alibaba Cloud
Video to Video
alibaba/wan-2.6-r2v
Provider Model ID: wan2.6-r2v

Input

Second 1080p
$0.150
Second 720p
$0.100

Output

Second 1080p
$0.150
Second 720p
$0.100
View official pricing • As of

Wan 2.6 API Image & Video generation

Integrate Wan 2.6 into your workflow for text-to-image generation and advanced image editing via Lumenfall's unified OpenAI-compatible API. This endpoint supports both direct text prompting and reference image guidance to maintain stylistic consistency across your generated media.

Base URL
https://api.lumenfall.ai/openai/v1 Image
https://api.lumenfall.ai/v1 Video
Model
wan-2.6

Code Examples

Text to Image

/v1/images/generations
curl -X POST \
  https://api.lumenfall.ai/openai/v1/images/generations \
  -H "Authorization: Bearer $LUMENFALL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "wan-2.6",
    "prompt": "",
    "size": "1024x1024"
  }'
# Response:
# { "created": 1234567890, "data": [{ "url": "https://...", "revised_prompt": "..." }] }

Image Edit

/v1/images/edits
curl -X POST \
  https://api.lumenfall.ai/openai/v1/images/edits \
  -H "Authorization: Bearer $LUMENFALL_API_KEY" \
  -F "model=wan-2.6" \
  -F "[email protected]" \
  -F "prompt=Add a starry night sky to this image" \
  -F "size=1024x1024"
# Response:
# { "created": 1234567890, "data": [{ "url": "https://...", "revised_prompt": "..." }] }

Text to Video

/v1/videos/generations
# Step 1: Submit video generation request
VIDEO_ID=$(curl -s -X POST \
  https://api.lumenfall.ai/v1/videos \
  -H "Authorization: Bearer $LUMENFALL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "wan-2.6",
    "prompt": "",
    "size": "1024x1024"
  }' | jq -r '.id')
echo "Video ID: $VIDEO_ID"
# Step 2: Poll for completion
while true; do
  RESULT=$(curl -s \
    https://api.lumenfall.ai/v1/videos/$VIDEO_ID \
    -H "Authorization: Bearer $LUMENFALL_API_KEY")
  STATUS=$(echo $RESULT | jq -r '.status')
  echo "Status: $STATUS"
  if [ "$STATUS" = "completed" ]; then
    echo $RESULT | jq -r '.output.url'
    break
  elif [ "$STATUS" = "failed" ]; then
    echo $RESULT | jq -r '.error.message'
    break
  fi
  sleep 5
done

Image to Video

/v1/videos/generations
# Step 1: Submit image-to-video request
VIDEO_ID=$(curl -s -X POST \
  https://api.lumenfall.ai/v1/videos \
  -H "Authorization: Bearer $LUMENFALL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "wan-2.6",
    "prompt": "",
    "image_url": "https://example.com/start-frame.jpg",
    "duration": "10",
    "aspect_ratio": "16:9"
  }' | jq -r '.id')
echo "Video ID: $VIDEO_ID"
# Step 2: Poll for completion
while true; do
  RESULT=$(curl -s \
    https://api.lumenfall.ai/v1/videos/$VIDEO_ID \
    -H "Authorization: Bearer $LUMENFALL_API_KEY")
  STATUS=$(echo $RESULT | jq -r '.status')
  echo "Status: $STATUS"
  if [ "$STATUS" = "completed" ]; then
    echo $RESULT | jq -r '.output.url'
    break
  elif [ "$STATUS" = "failed" ]; then
    echo $RESULT | jq -r '.error.message'
    break
  fi
  sleep 5
done

Video to Video

/v1/videos/generations
# Step 1: Submit video-to-video request
VIDEO_ID=$(curl -s -X POST \
  https://api.lumenfall.ai/v1/videos \
  -H "Authorization: Bearer $LUMENFALL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "wan-2.6",
    "prompt": "Apply cinematic color grading to @Video1",
    "video_url": "https://example.com/source.mp4",
    "keep_audio": true,
    "aspect_ratio": "16:9"
  }' | jq -r '.id')
echo "Video ID: $VIDEO_ID"
# Step 2: Poll for completion
while true; do
  RESULT=$(curl -s \
    https://api.lumenfall.ai/v1/videos/$VIDEO_ID \
    -H "Authorization: Bearer $LUMENFALL_API_KEY")
  STATUS=$(echo $RESULT | jq -r '.status')
  echo "Status: $STATUS"
  if [ "$STATUS" = "completed" ]; then
    echo $RESULT | jq -r '.output.url'
    break
  elif [ "$STATUS" = "failed" ]; then
    echo $RESULT | jq -r '.error.message'
    break
  fi
  sleep 5
done

Parameter Reference

Required Supported Not available

Core Parameters

Parameter Type Description Modes
prompt string Required. Text prompt for image generation
T2I Edit T2V I2V V2V
negative_prompt string Negative prompt to guide generation away from undesired content
T2I Edit T2V I2V V2V
seed integer Random seed for reproducibility
T2I Edit T2V I2V V2V
duration number Video duration in seconds
T2I Edit T2V I2V V2V

Size & Layout

Parameter Type Description Modes
size string Image dimensions as WxH pixels (e.g. "1024x1024") or aspect ratio (e.g. "16:9")
WxH determines both shape and scale (aspect_ratio and resolution are ignored when size is provided). W:H format is equivalent to aspect_ratio.
T2I Edit T2V I2V V2V
aspect_ratio string Aspect ratio of the output image (e.g. "16:9", "1:1")
Controls shape independently of scale. Use with resolution to control both. If size is also provided, size takes precedence. Any ratio is accepted and mapped to the nearest supported value.
T2I Edit T2V I2V V2V
resolution string Output resolution tier (e.g. "1K", "4K")
Controls scale independently of shape. Higher tiers produce larger images and cost more. If size is also provided, size takes precedence for scale. Any tier is accepted and mapped to the nearest supported value.
T2I Edit T2V I2V V2V
size

Exact pixel dimensions

"1920x1080"
aspect_ratio

Shape only, default scale

"16:9"
resolution

Scale tier, preserves shape

"1K"

Priority when combined

size aspect_ratio + resolution aspect_ratio resolution

size is most specific and always wins. aspect_ratio and resolution control shape and scale independently.

How matching works

Shape matching – we pick the closest supported ratio. Ask for 7:1 on a model with 4:1 and 8:1, you get 8:1.
Scale matching – providers use different tier formats: K tiers (0.5K 1K 2K 4K) or megapixel tiers (0.25 1). If the exact tier isn't available, you get the nearest one.
Dimension clamping – if a model has pixel limits, we clamp dimensions to fit and keep the aspect ratio intact.

Media Inputs

Parameter Type Description Modes
image file Required. Input image(s) to edit
Supports PNG, JPEG, WebP.
T2I Edit T2V I2V V2V
input_reference array Required for I2V. Additional reference image(s) for guidance
T2I Edit T2V I2V V2V
input_video string Required. Input video URL to transform
T2I Edit T2V I2V V2V

Multi-Shot Control

Parameter Type Description Modes
shot_type alibaba string Whether the generated video uses a single continuous shot or multiple changing shots.
multi single
Default: "single"
T2I Edit T2V I2V V2V

Output & Format

Parameter Type Description Modes
response_format string How to return the image
url b64_json
Default: "url"
T2I Edit T2V I2V V2V
output_format string Output image format
png jpeg gif webp avif
Gateway converts to requested format if provider doesn't support it natively.
T2I Edit T2V I2V V2V
output_compression integer Compression level for lossy formats (JPEG, WebP, AVIF)
T2I Edit T2V I2V V2V
n integer Number of images to generate
Default: 1
Gateway generates multiple images in parallel even if provider only supports 1.
T2I Edit T2V I2V V2V

Additional Parameters

Provider-specific passthrough fields, available only when the request is routed to the listed provider.

Parameter Type Description Modes
Universal
prompt_enhancement string Whether an LLM rewrites/expands the prompt before generation (off, on)
off on
T2I Edit T2V I2V V2V
alibaba
audio_url string Optional audio URL used to guide the generated video audio track.
T2I Edit T2V I2V V2V
prompt_extend boolean Whether to enable provider prompt rewriting.
T2I Edit T2V I2V V2V
reference_video_urls array Deprecated reference-video-only field. Use reference_urls for new integrations.
T2I Edit T2V I2V V2V
watermark boolean Whether to add the provider watermark to the generated media.
T2I Edit T2V I2V V2V
fal
enable_safety_checker boolean Enable content moderation for input and output.
T2I Edit T2V I2V V2V

Parameter Normalization

How we handle parameters across different providers

Not every provider speaks the same language. When you send a parameter, we handle it in one of four ways depending on what the model supports:

Behavior What happens Example
passthrough Sent as-is to the provider style, quality
renamed Same value, mapped to the field name the provider expects prompt
converted Transformed to the provider's native format size
emulated Works even if the provider has no concept of it n, response_format

Parameters we don't recognize pass straight through to the upstream API, so provider-specific options still work.

Wan 2.6 Benchmarks

Wan 2.6 ranks 23rd in global text-to-image performance with a 1214 Elo, while achieving a significantly higher 7th place ranking in image editing with a 1220 Elo. The model demonstrates competitive stability across the Wan AI suite for both English and Chinese prompt instructions.

Lumenfall Arena
#5
Text-to-Video
1148 Elo
Lumenfall Arena
#2
Image-to-Video
1045 Elo
Lumenfall Arena
#10
Image Editing
1209 Elo
Lumenfall Arena
#24
Text-to-Image
1233 Elo

Text-to-Video Landscape

Image-to-Video Landscape

Image Editing Landscape

Text-to-Image Landscape

Competition Results

Text-to-Video

Prompt Adherence

View leaderboard
Text-to-Video
Prompt

“A medium shot of Will Smith sitting at a cozy, dimly lit Italian restaurant, twirling a forkful of spaghetti with a playful grin on his face. The camera slowly dollies in as he takes a bite, capturing the rich, steaming sauce. Warm candlelight, cinematic lighting, hyperrealistic, 4K. Smooth motion, consistent face, detailed hands, natural spaghetti physics.”

Image Editing

Prompt Adherence

View leaderboard
Image Editing
Source
Edit instruction

“Create a caricature of me and my job. Make it exaggerated and humorous, incorporating my profession as a tv show anchor and my love for dogs and hockey.”

Text-to-Image

Prompt Adherence

View leaderboard
Text-to-Image
Prompt

“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.”

Text-to-Image
Prompt

“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.”

#8
Chalkboard Menu
69 models
Text-to-Image
Prompt

“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.”

#19
Modern Clean Menu
69 models
Text-to-Image
Prompt

“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.”

Text-to-Image
Prompt

“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.”

Image Editing

Aesthetics

View leaderboard
Wan 2.6 edited result for Golden Hour Stroll
Original image before Wan 2.6 editing
Before After
#1
Golden Hour Stroll
45 models
Image Editing
Edit instruction

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

Image Editing
Source
Edit instruction

“Make a photo of the man driving the car down the California coastline”

Image Editing
Source
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”

Image-to-Video

Aesthetics

View leaderboard
#4
Celebrity Arrival
5 models
Image-to-Video
Source
Prompt

“Ultra-realistic celebrity arrival scene in New York City, filmed as one continuous handheld shot from inside a dense crowd behind barricades. Documentary realism, natural micro-shake, no cuts, no artificial camera moves. Use the subject from the reference image as the main character. Keep face identity highly consistent across all frames. The outfit must match the reference image exactly. The subject should appear calm and controlled, with a subtle confident smile. Nighttime outside a fancy hotel. Lighting comes from street lights, hotel entrance lights, media flashes, phone screens, and reflections on polished cars and glass. Soft realistic shadows and slight atmospheric haze. Natural environment audio only: loud crowd cheering, overlapping voices, shouting fans, camera shutter clicks, phones recording, distant city noise, footsteps, fabric movement, and security activity. Scene flow: The camera begins inside the crowd, partially blocked by heads, raised phones, waving hands, and phone screens. The crowd is chaotic and excited. The camera lifts slightly above shoulder level. Focus shifts naturally between the crowd and the hotel entrance. The subject exits the hotel in the distance as camera flashes go off. Security pushes the crowd back, causing natural camera shake. Through gaps in the crowd, the subject becomes visible, first soft and partially obscured, then clearer as he walks forward with a small escort team. The subject walks up to a fan and signs a printed photo of himself from the reference image. The camera pushes in naturally, not digitally. The subject is now clearly visible near center frame. He walks confidently, raises one hand, and gives a calm wave with a slight smile while the camera struggles to keep him framed. A convoy of three large premium SUVs appears by the curb. Security opens the back door of the middle black Suburban. The subject enters quickly, rolls the window down, and waves to the crowd as the vehicles begin moving away. The crowd jumps, cheers, and records the moment on their phones.”

Text-to-Image

Aesthetics

View leaderboard
Text-to-Image
Prompt

“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.”

Text-to-Image
Prompt

“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.”

#19
Modern Clean Menu
69 models
Text-to-Image
Prompt

“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.”

#20
Vintage Cafe Logo
70 models
Text-to-Image
Prompt

“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.”

Image Editing

Creativity

View leaderboard
Image Editing
Source
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”

Image Editing
Source
Edit instruction

“Create a caricature of me and my job. Make it exaggerated and humorous, incorporating my profession as a tv show anchor and my love for dogs and hockey.”

Text-to-Image

Creativity

View leaderboard
Text-to-Image
Prompt

“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.”

#20
Vintage Cafe Logo
70 models
Text-to-Image
Prompt

“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.”

Text-to-Image
Prompt

“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.”

Text-to-Image

Photorealism

View leaderboard
Text-to-Image
Prompt

“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.”

#8
Chalkboard Menu
69 models
Text-to-Image
Prompt

“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.”

Image-to-Video

Physics & Realism

View leaderboard
#4
Celebrity Arrival
5 models
Image-to-Video
Source
Prompt

“Ultra-realistic celebrity arrival scene in New York City, filmed as one continuous handheld shot from inside a dense crowd behind barricades. Documentary realism, natural micro-shake, no cuts, no artificial camera moves. Use the subject from the reference image as the main character. Keep face identity highly consistent across all frames. The outfit must match the reference image exactly. The subject should appear calm and controlled, with a subtle confident smile. Nighttime outside a fancy hotel. Lighting comes from street lights, hotel entrance lights, media flashes, phone screens, and reflections on polished cars and glass. Soft realistic shadows and slight atmospheric haze. Natural environment audio only: loud crowd cheering, overlapping voices, shouting fans, camera shutter clicks, phones recording, distant city noise, footsteps, fabric movement, and security activity. Scene flow: The camera begins inside the crowd, partially blocked by heads, raised phones, waving hands, and phone screens. The crowd is chaotic and excited. The camera lifts slightly above shoulder level. Focus shifts naturally between the crowd and the hotel entrance. The subject exits the hotel in the distance as camera flashes go off. Security pushes the crowd back, causing natural camera shake. Through gaps in the crowd, the subject becomes visible, first soft and partially obscured, then clearer as he walks forward with a small escort team. The subject walks up to a fan and signs a printed photo of himself from the reference image. The camera pushes in naturally, not digitally. The subject is now clearly visible near center frame. He walks confidently, raises one hand, and gives a calm wave with a slight smile while the camera struggles to keep him framed. A convoy of three large premium SUVs appears by the curb. Security opens the back door of the middle black Suburban. The subject enters quickly, rolls the window down, and waves to the crowd as the vehicles begin moving away. The crowd jumps, cheers, and records the moment on their phones.”

Image Editing

Photorealism

View leaderboard
Wan 2.6 edited result for Golden Hour Stroll
Original image before Wan 2.6 editing
Before After
#1
Golden Hour Stroll
45 models
Image Editing
Edit instruction

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

Image Editing
Source
Edit instruction

“Make a photo of the man driving the car down the California coastline”

Wan 2.6 edited result for Bald man challenge
Original image before Wan 2.6 editing
Before After
#15
Bald man challenge
43 models
Image Editing
Edit instruction

“Give the person a full, thick head of natural hair with realistic texture, density, and a natural hairline. Preserve facial features and lighting.”

Wan 2.6 edited result for Neutral Expression to Genuine Smile
Original image before Wan 2.6 editing
Before After
Image Editing
Edit instruction
{
  "action": "image_edit",
  "reference": "uploaded neutral portrait",
  "change": "Warm genuine Duchenne smile: lips curved up, slight natural teeth, soft eye crinkles, subtle cheek raise",
  "details": "Realistic smiling skin (dimples if present, soft cheek shadows), slightly brighter eyes; keep exact eye shape/color/iris",
  "preserve_exact": "Face identity/structure, eyes/nose/lips/eyebrows, hair, skin texture/pores/freckles, makeup, clothing, head pose, background, lighting, shadows, framing",
  "no_changes": "No face shape change, no new features, no gaze shift, no hair/clothing/lighting/background edits",
  "style": "Ultra-photorealistic 8K portrait, sharp face focus, natural soft lighting, realistic skin glow"
}
3 attempts – showing best result
Wan 2.6 edited result for Night Sky Transformation
Original image before Wan 2.6 editing
Before After
#13
Night Sky Transformation
16 models
Image Editing
Edit instruction

“Change the scene to night: a deep, dark sky with subtle, glistening stars visible behind the mountain.”

3 attempts – showing best result
Text-to-Video

Physics & Realism

View leaderboard
Text-to-Video
Prompt

“A medium shot of Will Smith sitting at a cozy, dimly lit Italian restaurant, twirling a forkful of spaghetti with a playful grin on his face. The camera slowly dollies in as he takes a bite, capturing the rich, steaming sauce. Warm candlelight, cinematic lighting, hyperrealistic, 4K. Smooth motion, consistent face, detailed hands, natural spaghetti physics.”

Text-to-Image

Text Rendering

View leaderboard
Text-to-Image
Prompt

“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.”

#8
Chalkboard Menu
69 models
Text-to-Image
Prompt

“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.”

#19
Modern Clean Menu
69 models
Text-to-Image
Prompt

“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.”

#20
Vintage Cafe Logo
70 models
Text-to-Image
Prompt

“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.”

Text-to-Image
Prompt

“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.”

Image-to-Video

Motion Quality

View leaderboard
#4
Celebrity Arrival
5 models
Image-to-Video
Source
Prompt

“Ultra-realistic celebrity arrival scene in New York City, filmed as one continuous handheld shot from inside a dense crowd behind barricades. Documentary realism, natural micro-shake, no cuts, no artificial camera moves. Use the subject from the reference image as the main character. Keep face identity highly consistent across all frames. The outfit must match the reference image exactly. The subject should appear calm and controlled, with a subtle confident smile. Nighttime outside a fancy hotel. Lighting comes from street lights, hotel entrance lights, media flashes, phone screens, and reflections on polished cars and glass. Soft realistic shadows and slight atmospheric haze. Natural environment audio only: loud crowd cheering, overlapping voices, shouting fans, camera shutter clicks, phones recording, distant city noise, footsteps, fabric movement, and security activity. Scene flow: The camera begins inside the crowd, partially blocked by heads, raised phones, waving hands, and phone screens. The crowd is chaotic and excited. The camera lifts slightly above shoulder level. Focus shifts naturally between the crowd and the hotel entrance. The subject exits the hotel in the distance as camera flashes go off. Security pushes the crowd back, causing natural camera shake. Through gaps in the crowd, the subject becomes visible, first soft and partially obscured, then clearer as he walks forward with a small escort team. The subject walks up to a fan and signs a printed photo of himself from the reference image. The camera pushes in naturally, not digitally. The subject is now clearly visible near center frame. He walks confidently, raises one hand, and gives a calm wave with a slight smile while the camera struggles to keep him framed. A convoy of three large premium SUVs appears by the curb. Security opens the back door of the middle black Suburban. The subject enters quickly, rolls the window down, and waves to the crowd as the vehicles begin moving away. The crowd jumps, cheers, and records the moment on their phones.”

Text-to-Video

Motion Quality

View leaderboard
Text-to-Video
Prompt

“A medium shot of Will Smith sitting at a cozy, dimly lit Italian restaurant, twirling a forkful of spaghetti with a playful grin on his face. The camera slowly dollies in as he takes a bite, capturing the rich, steaming sauce. Warm candlelight, cinematic lighting, hyperrealistic, 4K. Smooth motion, consistent face, detailed hands, natural spaghetti physics.”

Image Editing

Preservation

View leaderboard
Wan 2.6 edited result for Golden Hour Stroll
Original image before Wan 2.6 editing
Before After
#1
Golden Hour Stroll
45 models
Image Editing
Edit instruction

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

Image Editing
Source
Edit instruction

“Make a photo of the man driving the car down the California coastline”

Image Editing
Source
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”

Wan 2.6 edited result for Bald man challenge
Original image before Wan 2.6 editing
Before After
#15
Bald man challenge
43 models
Image Editing
Edit instruction

“Give the person a full, thick head of natural hair with realistic texture, density, and a natural hairline. Preserve facial features and lighting.”

Image Editing
Source
Edit instruction

“Create a caricature of me and my job. Make it exaggerated and humorous, incorporating my profession as a tv show anchor and my love for dogs and hockey.”

Wan 2.6 edited result for Neutral Expression to Genuine Smile
Original image before Wan 2.6 editing
Before After
Image Editing
Edit instruction
{
  "action": "image_edit",
  "reference": "uploaded neutral portrait",
  "change": "Warm genuine Duchenne smile: lips curved up, slight natural teeth, soft eye crinkles, subtle cheek raise",
  "details": "Realistic smiling skin (dimples if present, soft cheek shadows), slightly brighter eyes; keep exact eye shape/color/iris",
  "preserve_exact": "Face identity/structure, eyes/nose/lips/eyebrows, hair, skin texture/pores/freckles, makeup, clothing, head pose, background, lighting, shadows, framing",
  "no_changes": "No face shape change, no new features, no gaze shift, no hair/clothing/lighting/background edits",
  "style": "Ultra-photorealistic 8K portrait, sharp face focus, natural soft lighting, realistic skin glow"
}
3 attempts – showing best result
Image Editing

Adding & Editing Objects

View leaderboard
Image Editing
Source
Edit instruction

“Make a photo of the man driving the car down the California coastline”

Image-to-Video

Preservation

View leaderboard
#4
Celebrity Arrival
5 models
Image-to-Video
Source
Prompt

“Ultra-realistic celebrity arrival scene in New York City, filmed as one continuous handheld shot from inside a dense crowd behind barricades. Documentary realism, natural micro-shake, no cuts, no artificial camera moves. Use the subject from the reference image as the main character. Keep face identity highly consistent across all frames. The outfit must match the reference image exactly. The subject should appear calm and controlled, with a subtle confident smile. Nighttime outside a fancy hotel. Lighting comes from street lights, hotel entrance lights, media flashes, phone screens, and reflections on polished cars and glass. Soft realistic shadows and slight atmospheric haze. Natural environment audio only: loud crowd cheering, overlapping voices, shouting fans, camera shutter clicks, phones recording, distant city noise, footsteps, fabric movement, and security activity. Scene flow: The camera begins inside the crowd, partially blocked by heads, raised phones, waving hands, and phone screens. The crowd is chaotic and excited. The camera lifts slightly above shoulder level. Focus shifts naturally between the crowd and the hotel entrance. The subject exits the hotel in the distance as camera flashes go off. Security pushes the crowd back, causing natural camera shake. Through gaps in the crowd, the subject becomes visible, first soft and partially obscured, then clearer as he walks forward with a small escort team. The subject walks up to a fan and signs a printed photo of himself from the reference image. The camera pushes in naturally, not digitally. The subject is now clearly visible near center frame. He walks confidently, raises one hand, and gives a calm wave with a slight smile while the camera struggles to keep him framed. A convoy of three large premium SUVs appears by the curb. Security opens the back door of the middle black Suburban. The subject enters quickly, rolls the window down, and waves to the crowd as the vehicles begin moving away. The crowd jumps, cheers, and records the moment on their phones.”

Text-to-Video

Human Fidelity

View leaderboard
Text-to-Video
Prompt

“A medium shot of Will Smith sitting at a cozy, dimly lit Italian restaurant, twirling a forkful of spaghetti with a playful grin on his face. The camera slowly dollies in as he takes a bite, capturing the rich, steaming sauce. Warm candlelight, cinematic lighting, hyperrealistic, 4K. Smooth motion, consistent face, detailed hands, natural spaghetti physics.”

Image-to-Video

Human Fidelity

View leaderboard
#4
Celebrity Arrival
5 models
Image-to-Video
Source
Prompt

“Ultra-realistic celebrity arrival scene in New York City, filmed as one continuous handheld shot from inside a dense crowd behind barricades. Documentary realism, natural micro-shake, no cuts, no artificial camera moves. Use the subject from the reference image as the main character. Keep face identity highly consistent across all frames. The outfit must match the reference image exactly. The subject should appear calm and controlled, with a subtle confident smile. Nighttime outside a fancy hotel. Lighting comes from street lights, hotel entrance lights, media flashes, phone screens, and reflections on polished cars and glass. Soft realistic shadows and slight atmospheric haze. Natural environment audio only: loud crowd cheering, overlapping voices, shouting fans, camera shutter clicks, phones recording, distant city noise, footsteps, fabric movement, and security activity. Scene flow: The camera begins inside the crowd, partially blocked by heads, raised phones, waving hands, and phone screens. The crowd is chaotic and excited. The camera lifts slightly above shoulder level. Focus shifts naturally between the crowd and the hotel entrance. The subject exits the hotel in the distance as camera flashes go off. Security pushes the crowd back, causing natural camera shake. Through gaps in the crowd, the subject becomes visible, first soft and partially obscured, then clearer as he walks forward with a small escort team. The subject walks up to a fan and signs a printed photo of himself from the reference image. The camera pushes in naturally, not digitally. The subject is now clearly visible near center frame. He walks confidently, raises one hand, and gives a calm wave with a slight smile while the camera struggles to keep him framed. A convoy of three large premium SUVs appears by the curb. Security opens the back door of the middle black Suburban. The subject enters quickly, rolls the window down, and waves to the crowd as the vehicles begin moving away. The crowd jumps, cheers, and records the moment on their phones.”

Image Editing

Backgrounds & Scenes

View leaderboard
Image Editing
Source
Edit instruction

“Make a photo of the man driving the car down the California coastline”

Wan 2.6 edited result for Night Sky Transformation
Original image before Wan 2.6 editing
Before After
#13
Night Sky Transformation
16 models
Image Editing
Edit instruction

“Change the scene to night: a deep, dark sky with subtle, glistening stars visible behind the mountain.”

3 attempts – showing best result
Image Editing

Lighting, Shadows & Materials

View leaderboard
Wan 2.6 edited result for Golden Hour Stroll
Original image before Wan 2.6 editing
Before After
#1
Golden Hour Stroll
45 models
Image Editing
Edit instruction

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

Image Editing
Source
Edit instruction

“Make a photo of the man driving the car down the California coastline”

Wan 2.6 edited result for Bald man challenge
Original image before Wan 2.6 editing
Before After
#15
Bald man challenge
43 models
Image Editing
Edit instruction

“Give the person a full, thick head of natural hair with realistic texture, density, and a natural hairline. Preserve facial features and lighting.”

Wan 2.6 edited result for Night Sky Transformation
Original image before Wan 2.6 editing
Before After
#13
Night Sky Transformation
16 models
Image Editing
Edit instruction

“Change the scene to night: a deep, dark sky with subtle, glistening stars visible behind the mountain.”

3 attempts – showing best result
Image-to-Video

Camera Control

View leaderboard
#4
Celebrity Arrival
5 models
Image-to-Video
Source
Prompt

“Ultra-realistic celebrity arrival scene in New York City, filmed as one continuous handheld shot from inside a dense crowd behind barricades. Documentary realism, natural micro-shake, no cuts, no artificial camera moves. Use the subject from the reference image as the main character. Keep face identity highly consistent across all frames. The outfit must match the reference image exactly. The subject should appear calm and controlled, with a subtle confident smile. Nighttime outside a fancy hotel. Lighting comes from street lights, hotel entrance lights, media flashes, phone screens, and reflections on polished cars and glass. Soft realistic shadows and slight atmospheric haze. Natural environment audio only: loud crowd cheering, overlapping voices, shouting fans, camera shutter clicks, phones recording, distant city noise, footsteps, fabric movement, and security activity. Scene flow: The camera begins inside the crowd, partially blocked by heads, raised phones, waving hands, and phone screens. The crowd is chaotic and excited. The camera lifts slightly above shoulder level. Focus shifts naturally between the crowd and the hotel entrance. The subject exits the hotel in the distance as camera flashes go off. Security pushes the crowd back, causing natural camera shake. Through gaps in the crowd, the subject becomes visible, first soft and partially obscured, then clearer as he walks forward with a small escort team. The subject walks up to a fan and signs a printed photo of himself from the reference image. The camera pushes in naturally, not digitally. The subject is now clearly visible near center frame. He walks confidently, raises one hand, and gives a calm wave with a slight smile while the camera struggles to keep him framed. A convoy of three large premium SUVs appears by the curb. Security opens the back door of the middle black Suburban. The subject enters quickly, rolls the window down, and waves to the crowd as the vehicles begin moving away. The crowd jumps, cheers, and records the moment on their phones.”

Text-to-Image

Product, Branding & Commercial

View leaderboard
#8
Chalkboard Menu
69 models
Text-to-Image
Prompt

“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.”

#19
Modern Clean Menu
69 models
Text-to-Image
Prompt

“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.”

#20
Vintage Cafe Logo
70 models
Text-to-Image
Prompt

“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.”

Text-to-Image
Prompt

“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.”

Image Editing

Face & Identity

View leaderboard
Wan 2.6 edited result for Bald man challenge
Original image before Wan 2.6 editing
Before After
#15
Bald man challenge
43 models
Image Editing
Edit instruction

“Give the person a full, thick head of natural hair with realistic texture, density, and a natural hairline. Preserve facial features and lighting.”

Image Editing
Source
Edit instruction

“Create a caricature of me and my job. Make it exaggerated and humorous, incorporating my profession as a tv show anchor and my love for dogs and hockey.”

Wan 2.6 edited result for Neutral Expression to Genuine Smile
Original image before Wan 2.6 editing
Before After
Image Editing
Edit instruction
{
  "action": "image_edit",
  "reference": "uploaded neutral portrait",
  "change": "Warm genuine Duchenne smile: lips curved up, slight natural teeth, soft eye crinkles, subtle cheek raise",
  "details": "Realistic smiling skin (dimples if present, soft cheek shadows), slightly brighter eyes; keep exact eye shape/color/iris",
  "preserve_exact": "Face identity/structure, eyes/nose/lips/eyebrows, hair, skin texture/pores/freckles, makeup, clothing, head pose, background, lighting, shadows, framing",
  "no_changes": "No face shape change, no new features, no gaze shift, no hair/clothing/lighting/background edits",
  "style": "Ultra-photorealistic 8K portrait, sharp face focus, natural soft lighting, realistic skin glow"
}
3 attempts – showing best result
Image Editing

People & Poses

View leaderboard
Wan 2.6 edited result for Golden Hour Stroll
Original image before Wan 2.6 editing
Before After
#1
Golden Hour Stroll
45 models
Image Editing
Edit instruction

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

Text-to-Image

3D Imaging & Modeling

View leaderboard
Text-to-Image
Prompt

“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.”

Image Editing

Artistic Restyling

View leaderboard
Image Editing
Source
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”

Image Editing
Source
Edit instruction

“Create a caricature of me and my job. Make it exaggerated and humorous, incorporating my profession as a tv show anchor and my love for dogs and hockey.”

Image-to-Video

Scenes & Atmospherics

View leaderboard
#4
Celebrity Arrival
5 models
Image-to-Video
Source
Prompt

“Ultra-realistic celebrity arrival scene in New York City, filmed as one continuous handheld shot from inside a dense crowd behind barricades. Documentary realism, natural micro-shake, no cuts, no artificial camera moves. Use the subject from the reference image as the main character. Keep face identity highly consistent across all frames. The outfit must match the reference image exactly. The subject should appear calm and controlled, with a subtle confident smile. Nighttime outside a fancy hotel. Lighting comes from street lights, hotel entrance lights, media flashes, phone screens, and reflections on polished cars and glass. Soft realistic shadows and slight atmospheric haze. Natural environment audio only: loud crowd cheering, overlapping voices, shouting fans, camera shutter clicks, phones recording, distant city noise, footsteps, fabric movement, and security activity. Scene flow: The camera begins inside the crowd, partially blocked by heads, raised phones, waving hands, and phone screens. The crowd is chaotic and excited. The camera lifts slightly above shoulder level. Focus shifts naturally between the crowd and the hotel entrance. The subject exits the hotel in the distance as camera flashes go off. Security pushes the crowd back, causing natural camera shake. Through gaps in the crowd, the subject becomes visible, first soft and partially obscured, then clearer as he walks forward with a small escort team. The subject walks up to a fan and signs a printed photo of himself from the reference image. The camera pushes in naturally, not digitally. The subject is now clearly visible near center frame. He walks confidently, raises one hand, and gives a calm wave with a slight smile while the camera struggles to keep him framed. A convoy of three large premium SUVs appears by the curb. Security opens the back door of the middle black Suburban. The subject enters quickly, rolls the window down, and waves to the crowd as the vehicles begin moving away. The crowd jumps, cheers, and records the moment on their phones.”

Uncategorized

Text-to-Image
Prompt

“Hyper-photorealistic interior of a lush Victorian glass greenhouse filled with exotic tropical plants, vibrant blooming orchids, tall ferns, colorful butterflies in flight, sunlight filtering through ornate glass roof creating realistic caustics and dew on leaves, intricate iron framework visible, misty atmosphere, 8K masterpiece.”

3 attempts – showing best result
Text-to-Image
Prompt

“Perfectly symmetrical mandala made entirely of real flowers, petals, leaves, fruits, and seeds in vibrant natural colors, intricate layered patterns with radial symmetry, top-down view on a soft neutral background, hyper-detailed organic textures and subtle shadows, photorealistic, 8K masterpiece.”

3 attempts – showing best result
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Wan 2.6 is best for

See all Use Cases

Alibaba's Wan 2.6 excels in photorealism where it ranks 6th with a 48.8% win rate, though it struggles with text rendering ranking 20th and portrait generation at an 18.2% win rate. It serves as a middle-tier option for anime and commercial branding tasks, ranking 10th and 13th in those respective categories.

Wan 2.6 FAQ

How much does Wan 2.6 cost?

Wan 2.6 starts at $0.03 per image through Lumenfall. Pricing varies by provider. Lumenfall does not add any markup to provider pricing.

How do I use Wan 2.6 via API?

You can use Wan 2.6 through Lumenfall's OpenAI-compatible API. Send requests to the unified endpoint with model ID "wan-2.6". Code examples are available in Python, JavaScript, and cURL.

Which providers offer Wan 2.6?

Wan 2.6 is available through fal.ai and Alibaba Cloud on Lumenfall. Lumenfall automatically routes requests to the best available provider.

Overview

Wan 2.6 is a text-to-image generation model developed by Alibaba as part of the broader Wan AI suite. It is designed for high-fidelity image synthesis from bilingual prompts (English and Chinese) and supports image-to-image workflows through optional reference guidance. The model’s primary distinction lies in its balanced handling of complex prompt adherence and its ability to maintain stylistic consistency when provided with an initial image.

Strengths

  • Bilingual Prompt Processing: The model demonstrates native-level understanding of both Chinese and English, allowing for nuanced cultural references and idiomatic descriptions without translation artifacts.
  • Style Reference Integration: Unlike basic text-to-image models, Wan 2.6 can ingest a reference image to guide the aesthetic, lighting, and composition of the generated output while departing from the source content based on text instructions.
  • Spatial and Compositional Control: It excels at placing subjects accurately within a frame according to descriptive spatial prompts (e.g., “in the bottom-left foreground”).
  • Texture and Surface Detail: The model is particularly capable of rendering varied surface materials, such as metallic reflections, fabric weaves, and skin textures, with high clarity.

Limitations

  • Text Rendering: While proficient at photorealistic imagery, the model may struggle with rendering complex, long-form legible text within images compared to models specifically optimized for typography.
  • Contextual Complexity: In scenes with a high number of distinct interacting subjects (e.g., a crowd where everyone is performing a unique action), the model may occasionally blend attributes between subjects.
  • Compute Requirements: Due to the complexity of its dual-modality input (text and image), inference times may be slightly higher than simpler, prompt-only diffusion models.

Technical Background

Wan 2.6 is built upon a Diffusion Transformer (DiT) architecture, which scales more effectively with data than traditional U-Net structures. It utilizes a large-scale multimodal pre-training strategy that aligns visual features with a bilingual LLM-based encoder to ensure precise semantic mapping. The model’s reference image capability is implemented via a dedicated vision encoder that injects latent style features into the diffusion process without overwriting the text-driven intent.

Best For

Alibaba’s Wan 2.6 is best suited for cross-cultural creative projects, localized marketing assets for both Western and Asian markets, and iterative design workflows where a “mood board” image is used to set the visual tone. It is particularly effective for concept art where stylistic consistency across a series of images is required.

Wan 2.6 is available for immediate testing and integration through Lumenfall’s unified API and playground, allowing developers to experiment with bilingual prompting and image-guided generation in a single interface.

Try Wan 2.6 in Playground

Generate images with custom prompts — no API key needed.

Open Playground