Seedance 2.0

AI Video Generation Model

ByteDance's flagship video model with text-to-video, image-to-video, and reference-to-video (multi-image/video/audio) generation, cinematic output, native synchronized audio, multi-shot editing, and director-level camera control.

15 seconds
Max Video Duration
Supported Modes
Text to Video Image to Video Video to Video
Active

Details

Model ID
seedance-2.0
Also known as: seedance-2-0, seedance-2
Creator
Family
seedance
Released
February 2026
Max Input Images
9
Tags
video-generation text-to-video image-to-video video-to-video audio-generation
// Get Started

Ready to integrate?

Access seedance-2.0 via our unified API.

Create Account
Available at 1 provider

Starting from

$0.136 /second via fal.ai

Popular formats

480p
~$0.136
720p (1280×720)
~$0.302
1080p (1920×1080)
~$0.680

Prices shown are in USD

Full pricing details

Provider Performance

Fastest generation through fal at 308,906ms median latency with 100.0% success rate.

Aggregated from real API requests over the last 30 days.

Generation Time

fal
308,906ms p95: 719,667ms

Success Rate

fal
100.0%
23 / 23 requests

Provider Rankings

# Provider p50 Gen Time p95 Gen Time Success Rate TTFB (p50)
1 fal 308,906ms 719,667ms 100.0% —
Data updated every 15 minutes. Based on all API requests through Lumenfall over the last 30 days.

Providers & Pricing (3)

Seedance 2.0 is available from 3 providers, with per-video pricing starting at $0.13608 through fal.ai.

fal.ai
Video to Video
fal/seedance-2.0-r2v
Provider Model ID: bytedance/seedance-2.0/reference-to-video
$0.181 /second
fal.ai
Image to Video
fal/seedance-2.0-i2v
Provider Model ID: bytedance/seedance-2.0/image-to-video

Output

Second 1080p
$0.680
Second 480p
$0.136
Second 720p
$0.302
View official pricing • As of
fal.ai
Text to Video
fal/seedance-2.0
Provider Model ID: bytedance/seedance-2.0/text-to-video

Output

Second 1080p
$0.682
Second 480p
$0.136
Second 720p
$0.303
View official pricing • As of

seedance-2-0 API Async video generation

Base URL
https://api.lumenfall.ai/v1
Model
seedance-2.0

Code Examples

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": "seedance-2.0",
    "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": "seedance-2.0",
    "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": "seedance-2.0",
    "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 video generation
T2V I2V V2V
seed integer Random seed for reproducibility
T2V I2V V2V
duration number Video duration in seconds
T2V I2V V2V

Size & Layout

Parameter Type Description Modes
size string Video dimensions as WxH pixels (e.g. "1920x1080") or aspect ratio (e.g. "16:9")
auto 1563x670 1365x768 768x1365 887x1182 1024x1024 1183x887
WxH determines both shape and scale (aspect_ratio and resolution are ignored when size is provided). W:H format is equivalent to aspect_ratio.
T2V I2V V2V
aspect_ratio string Aspect ratio of the output video (e.g. "16:9", "1:1")
auto 9:16 3:4 1:1 4:3 16:9 21:9
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.
T2V I2V V2V
resolution string Output resolution tier (e.g. "1K", "4K")
auto 1K
Controls scale independently of shape. Higher tiers produce larger videos and cost more. If size is also provided, size takes precedence for scale. Any tier is accepted and mapped to the nearest supported value.
T2V I2V V2V
Output size aspect_ratio + resolution
Flexible
Auto "auto" — Model chooses optimal dimensions
1K 6 sizes
Output size aspect_ratio + resolution
1183 × 887 "1183x887" or "4:3" + "1K"
1024 × 1024 "1024x1024" or "1:1" + "1K"
887 × 1182 "887x1182" or "3:4" + "1K"
768 × 1365 "768x1365" or "9:16" + "1K"
1365 × 768 "1365x768" or "16:9" + "1K"
1563 × 670 "1563x670" or "21:9" + "1K"

How these parameters work

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
input_reference array Required for I2V. Input image(s) to animate into video
T2V I2V V2V
input_video string Required. Input video URL to transform
T2V I2V V2V

Audio

Parameter Type Description Modes
generate_audio boolean Whether to generate audio alongside video
T2V I2V V2V

Output & Format

Parameter Type Description Modes
n integer Number of videos to generate
Default: 1
Gateway generates multiple videos in parallel even if provider only supports 1.
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
end_image string End frame image URL for video interpolation
T2V I2V V2V
fal
audio_urls array Reference audio clips (up to 3) for lip-sync or scoring.
T2V I2V V2V
end_user_id string Optional end user identifier.
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.

Seedance 2.0 Benchmarks

Seedance 2.0 is ranked #1 in Text-to-Video with an Elo of 1236 and #1 in Image-to-Video with an Elo of 1226 on the Lumenfall Arena, where real users pick the better image in blind comparisons. These rankings are based on 3 blind-vote competitions.

Lumenfall Arena
#1
Text-to-Video
1236 Elo
Lumenfall Arena
#1
Image-to-Video
1226 Elo

Text-to-Video Landscape

Image-to-Video Landscape

Competition Results

Text-to-Video

Prompt Adherence

View leaderboard
#3
The Rubik's Gauntlet
6 models
Text-to-Video
Prompt

“Hyper-realistic cinematic close-up of a professional speedcuber solving a 3x3 Rubik's Cube at world-record pace. His hands move with insane precision and blistering speed — fingers flying across the glossy colored faces in a complex sequence of advanced algorithms, rapid twists, and smooth layer turns. The cube rotates with perfect realistic physics, slight motion blur on fast turns, and flawless color consistency as it progresses toward a solved state. Subtle sweat glistening on skin, visible veins, hyper-detailed fingerprints and nail textures. Intense focused facial expression with micro-expressions of concentration in shallow depth of field. Dramatic cinematic side lighting with strong specular highlights and reflections dancing across the cube surfaces and skin. Smooth slow orbiting camera that circles the hands and cube, capturing every intricate finger movement from dynamic angles. Photorealistic, 8K, subtle film grain, anamorphic lens flare, moody intense atmosphere, 24fps.”

Text-to-Video

Aesthetics

View leaderboard
#1
Neon Rain Reverie
6 models
Text-to-Video
Prompt

“Hyper-realistic cinematic video of an elegant young woman in a flowing white silk dress dancing gracefully in heavy pouring rain at night on a neon-lit Tokyo street. Her long wet hair whips dramatically in the wind, the dress clings and flows with realistic fabric and water physics, raindrops splash and create perfect reflections of pink and blue neon signs on the wet pavement. Subtle emotional expression of freedom mixed with melancholy on her face, water droplets on skin and eyelashes catching the light. Smooth dynamic orbiting camera with slight cinematic handheld feel, dramatic volumetric lighting with god rays piercing through the rain, photorealistic, 8K, film grain, shallow depth of field, anamorphic lens flare.”

#3
The Rubik's Gauntlet
6 models
Text-to-Video
Prompt

“Hyper-realistic cinematic close-up of a professional speedcuber solving a 3x3 Rubik's Cube at world-record pace. His hands move with insane precision and blistering speed — fingers flying across the glossy colored faces in a complex sequence of advanced algorithms, rapid twists, and smooth layer turns. The cube rotates with perfect realistic physics, slight motion blur on fast turns, and flawless color consistency as it progresses toward a solved state. Subtle sweat glistening on skin, visible veins, hyper-detailed fingerprints and nail textures. Intense focused facial expression with micro-expressions of concentration in shallow depth of field. Dramatic cinematic side lighting with strong specular highlights and reflections dancing across the cube surfaces and skin. Smooth slow orbiting camera that circles the hands and cube, capturing every intricate finger movement from dynamic angles. Photorealistic, 8K, subtle film grain, anamorphic lens flare, moody intense atmosphere, 24fps.”

Image-to-Video

Aesthetics

View leaderboard
#1
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

Creativity

View leaderboard
#1
Neon Rain Reverie
6 models
Text-to-Video
Prompt

“Hyper-realistic cinematic video of an elegant young woman in a flowing white silk dress dancing gracefully in heavy pouring rain at night on a neon-lit Tokyo street. Her long wet hair whips dramatically in the wind, the dress clings and flows with realistic fabric and water physics, raindrops splash and create perfect reflections of pink and blue neon signs on the wet pavement. Subtle emotional expression of freedom mixed with melancholy on her face, water droplets on skin and eyelashes catching the light. Smooth dynamic orbiting camera with slight cinematic handheld feel, dramatic volumetric lighting with god rays piercing through the rain, photorealistic, 8K, film grain, shallow depth of field, anamorphic lens flare.”

Text-to-Video

Physics & Realism

View leaderboard
#1
Neon Rain Reverie
6 models
Text-to-Video
Prompt

“Hyper-realistic cinematic video of an elegant young woman in a flowing white silk dress dancing gracefully in heavy pouring rain at night on a neon-lit Tokyo street. Her long wet hair whips dramatically in the wind, the dress clings and flows with realistic fabric and water physics, raindrops splash and create perfect reflections of pink and blue neon signs on the wet pavement. Subtle emotional expression of freedom mixed with melancholy on her face, water droplets on skin and eyelashes catching the light. Smooth dynamic orbiting camera with slight cinematic handheld feel, dramatic volumetric lighting with god rays piercing through the rain, photorealistic, 8K, film grain, shallow depth of field, anamorphic lens flare.”

#3
The Rubik's Gauntlet
6 models
Text-to-Video
Prompt

“Hyper-realistic cinematic close-up of a professional speedcuber solving a 3x3 Rubik's Cube at world-record pace. His hands move with insane precision and blistering speed — fingers flying across the glossy colored faces in a complex sequence of advanced algorithms, rapid twists, and smooth layer turns. The cube rotates with perfect realistic physics, slight motion blur on fast turns, and flawless color consistency as it progresses toward a solved state. Subtle sweat glistening on skin, visible veins, hyper-detailed fingerprints and nail textures. Intense focused facial expression with micro-expressions of concentration in shallow depth of field. Dramatic cinematic side lighting with strong specular highlights and reflections dancing across the cube surfaces and skin. Smooth slow orbiting camera that circles the hands and cube, capturing every intricate finger movement from dynamic angles. Photorealistic, 8K, subtle film grain, anamorphic lens flare, moody intense atmosphere, 24fps.”

Image-to-Video

Physics & Realism

View leaderboard
#1
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
#1
Neon Rain Reverie
6 models
Text-to-Video
Prompt

“Hyper-realistic cinematic video of an elegant young woman in a flowing white silk dress dancing gracefully in heavy pouring rain at night on a neon-lit Tokyo street. Her long wet hair whips dramatically in the wind, the dress clings and flows with realistic fabric and water physics, raindrops splash and create perfect reflections of pink and blue neon signs on the wet pavement. Subtle emotional expression of freedom mixed with melancholy on her face, water droplets on skin and eyelashes catching the light. Smooth dynamic orbiting camera with slight cinematic handheld feel, dramatic volumetric lighting with god rays piercing through the rain, photorealistic, 8K, film grain, shallow depth of field, anamorphic lens flare.”

#3
The Rubik's Gauntlet
6 models
Text-to-Video
Prompt

“Hyper-realistic cinematic close-up of a professional speedcuber solving a 3x3 Rubik's Cube at world-record pace. His hands move with insane precision and blistering speed — fingers flying across the glossy colored faces in a complex sequence of advanced algorithms, rapid twists, and smooth layer turns. The cube rotates with perfect realistic physics, slight motion blur on fast turns, and flawless color consistency as it progresses toward a solved state. Subtle sweat glistening on skin, visible veins, hyper-detailed fingerprints and nail textures. Intense focused facial expression with micro-expressions of concentration in shallow depth of field. Dramatic cinematic side lighting with strong specular highlights and reflections dancing across the cube surfaces and skin. Smooth slow orbiting camera that circles the hands and cube, capturing every intricate finger movement from dynamic angles. Photorealistic, 8K, subtle film grain, anamorphic lens flare, moody intense atmosphere, 24fps.”

Image-to-Video

Motion Quality

View leaderboard
#1
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
#3
The Rubik's Gauntlet
6 models
Text-to-Video
Prompt

“Hyper-realistic cinematic close-up of a professional speedcuber solving a 3x3 Rubik's Cube at world-record pace. His hands move with insane precision and blistering speed — fingers flying across the glossy colored faces in a complex sequence of advanced algorithms, rapid twists, and smooth layer turns. The cube rotates with perfect realistic physics, slight motion blur on fast turns, and flawless color consistency as it progresses toward a solved state. Subtle sweat glistening on skin, visible veins, hyper-detailed fingerprints and nail textures. Intense focused facial expression with micro-expressions of concentration in shallow depth of field. Dramatic cinematic side lighting with strong specular highlights and reflections dancing across the cube surfaces and skin. Smooth slow orbiting camera that circles the hands and cube, capturing every intricate finger movement from dynamic angles. Photorealistic, 8K, subtle film grain, anamorphic lens flare, moody intense atmosphere, 24fps.”

Image-to-Video

Preservation

View leaderboard
#1
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-to-Video

Human Fidelity

View leaderboard
#1
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

Temporal Consistency

View leaderboard
#3
The Rubik's Gauntlet
6 models
Text-to-Video
Prompt

“Hyper-realistic cinematic close-up of a professional speedcuber solving a 3x3 Rubik's Cube at world-record pace. His hands move with insane precision and blistering speed — fingers flying across the glossy colored faces in a complex sequence of advanced algorithms, rapid twists, and smooth layer turns. The cube rotates with perfect realistic physics, slight motion blur on fast turns, and flawless color consistency as it progresses toward a solved state. Subtle sweat glistening on skin, visible veins, hyper-detailed fingerprints and nail textures. Intense focused facial expression with micro-expressions of concentration in shallow depth of field. Dramatic cinematic side lighting with strong specular highlights and reflections dancing across the cube surfaces and skin. Smooth slow orbiting camera that circles the hands and cube, capturing every intricate finger movement from dynamic angles. Photorealistic, 8K, subtle film grain, anamorphic lens flare, moody intense atmosphere, 24fps.”

Image-to-Video

Camera Control

View leaderboard
#1
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

Lighting, Shadows & Materials

View leaderboard
#1
Neon Rain Reverie
6 models
Text-to-Video
Prompt

“Hyper-realistic cinematic video of an elegant young woman in a flowing white silk dress dancing gracefully in heavy pouring rain at night on a neon-lit Tokyo street. Her long wet hair whips dramatically in the wind, the dress clings and flows with realistic fabric and water physics, raindrops splash and create perfect reflections of pink and blue neon signs on the wet pavement. Subtle emotional expression of freedom mixed with melancholy on her face, water droplets on skin and eyelashes catching the light. Smooth dynamic orbiting camera with slight cinematic handheld feel, dramatic volumetric lighting with god rays piercing through the rain, photorealistic, 8K, film grain, shallow depth of field, anamorphic lens flare.”

Text-to-Video

Scenes & Atmospherics

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#1
Neon Rain Reverie
6 models
Text-to-Video
Prompt

“Hyper-realistic cinematic video of an elegant young woman in a flowing white silk dress dancing gracefully in heavy pouring rain at night on a neon-lit Tokyo street. Her long wet hair whips dramatically in the wind, the dress clings and flows with realistic fabric and water physics, raindrops splash and create perfect reflections of pink and blue neon signs on the wet pavement. Subtle emotional expression of freedom mixed with melancholy on her face, water droplets on skin and eyelashes catching the light. Smooth dynamic orbiting camera with slight cinematic handheld feel, dramatic volumetric lighting with god rays piercing through the rain, photorealistic, 8K, film grain, shallow depth of field, anamorphic lens flare.”

Image-to-Video

Scenes & Atmospherics

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#1
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.”

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Seedance 2.0 FAQ

How much does Seedance 2.0 cost?

Seedance 2.0 starts at $0.13608 per video through Lumenfall. Pricing varies by provider. Lumenfall does not add any markup to provider pricing.

How do I use Seedance 2.0 via API?

You can use Seedance 2.0 through Lumenfall's OpenAI-compatible API. Send requests to the unified endpoint with model ID "seedance-2.0". Code examples are available in Python, JavaScript, and cURL.

Which providers offer Seedance 2.0?

Seedance 2.0 is available through fal.ai on Lumenfall. Lumenfall automatically routes requests to the best available provider.

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