Bytedance Seedance 2.0 Fast Image To Video API Documentation
Playground
Try it on WaveSpeedAI!Seedance 2.0 Fast (Image-to-Video) generates cinematic videos from reference images and text prompts with native audio-visual synchronization, director-level control, and exceptional motion stability — optimized for faster generation at lower cost. Built on Seed’s unified multimodal architecture.
Features
Seedance 2.0 Fast is the speed-optimized version of Seed’s latest video generation model. The Image-to-Video mode generates cinematic videos from reference images and text prompts — faster and at 33% lower cost than the standard version, preserving the input image’s subject and composition while adding expressive motion with native audio.
Key Features
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Speed-optimized generation Faster processing for quick turnaround, perfect for iteration and prototyping.
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33% lower cost $0.80 per 5 seconds vs $1.20 for the standard version.
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Image-faithful generation Preserves the reference image’s subject identity, composition, and style.
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Multi-image reference support Guide generation with up to 4 reference images.
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Native audio-visual synchronization Generates video with synchronized audio in a single pass.
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Director-level control Camera movement, lighting, and character performance controlled through prompts.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Detailed description of the cinematic scene |
| image | Yes | Start image URL to guide the video generation |
| last_image | No | Last frame image URL for video continuation |
| duration | No | Video length in seconds: 4-15 (default: 5) |
| aspect_ratio | No | Output format: 16:9, 9:16, 4:3, 3:4, 1:1, 21:9 (default: adaptive) |
| resolution | No | Output resolution: 480p, 720p (default), 1080p, or 4k |
| enable_web_search | No | Enable web search for real-time information (default: false) |
| generate_audio | No | Generate synchronized audio for the output video (default: true) |
How to Use
- Upload a start image — provide an image to guide the video generation.
- Write your prompt — describe the scene with cinematic detail.
- Set duration — choose any duration from 4 to 15 seconds.
- Run — submit and download your video.
Writing Effective Prompts
The input image sets the first frame — your prompt directs what happens from there. The clearer the motion and camera direction, the better the result.
1. Start from the frame
Describe the action that begins from your image: what the subject does, where it goes, how the camera moves. Don’t re-describe what’s already visible in the image — build on it.
The woman in the photo turns from the window and walks toward the camera; slow push-in, warm interior light.
2. Shot-by-shot timeline
For longer clips, break the motion into timed segments (1-second granularity), continuous, no gaps.
> 0-2s: She turns from the window, a faint smile forming. Camera holds. > 2-5s: She walks toward the lens and stops mid-frame; slow push-in, shallow focus. > 5-8s: She glances off-screen as light shifts from warm to cool. Handheld drift.
3. Consistency notes
Lock the look for the whole clip: camera style, lighting, palette, atmosphere, audio.
Camera language
Write these directly; the model understands them:
- Shot size — extreme wide, wide, medium, medium close-up, close-up
- Movement — push in, pull out, pan, track, follow, orbit, tilt up, handheld shake
- Angle — low angle, overhead, eye-level, first-person
- Techniques — one-shot / long take, dolly zoom, bullet time, speed ramp
For a niche term, add a plain-language gloss: “rack focus: the sharp foreground softens as the background comes into focus.”
Referencing uploaded assets
When you attach images, videos, or audio, bind each one explicitly in the prompt by its upload order — @Image 1, @Video 1, @Audio 1 — and say what it’s for. Don’t rely on labels drawn inside the image itself.
- “The knight in @Image 1 walks through the castle in @Image 2.”
- “Refer to @Video 1 for the camera movement only; keep its shot order.”
- “@Image 1 and @Image 2 are Character 1, voiced by @Audio 1.”
When a reference is already accurate, just point to it — no need to re-describe it in detail.
Negative control
Positive descriptions work best, but you can suppress subtitles and audio:
- “No subtitles.”
- “No BGM — ambient and action sounds only.”
- “No audio.”
Weak vs. strong
| prompt | |
|---|---|
| weak | make it move |
| strong | The parked car in the image pulls out and drives down the wet street. 0-3s: headlights flick on, the car eases forward, reflections rippling on the asphalt. 3-6s: it accelerates past the camera, which pans to follow. Low angle, neon reflections, light rain, cinematic night mood. Engine and rain sounds, no music. |
Pricing
| Resolution | Duration | Cost |
|---|---|---|
| 480p | 5 s | $0.50 |
| 480p | 10 s | $1.00 |
| 480p | 15 s | $1.50 |
| 720p | 5 s | $1.00 |
| 720p | 10 s | $2.00 |
| 720p | 15 s | $3.00 |
| 1080p | 5 s | $2.50 |
| 4k | 5 s | $5.00 |
| 1080p | 10 s | $5.00 |
| 4k | 10 s | $10.00 |
| 1080p | 15 s | $7.50 |
| 4k | 15 s | $15.00 |
Billing Rules
- Base rate (480p): $0.50 per 5 seconds
- 720p: 2x the 480p price
- 1080p: 5x the 480p price (2.5x the 720p price)
- 4k: 10x the 480p price (2x the 1080p price).
- Duration range: 4-15 seconds (continuous)
Best Use Cases
- Rapid Prototyping — Quickly iterate on image-to-video concepts.
- High-Volume Production — Cost-effective generation for large content libraries.
- Product Animation — Fast turnaround on product shot animations.
- A/B Testing — Generate multiple variations from the same reference image.
Pro Tips
- Use Fast for iteration, switch to standard Seedance 2.0 for final quality.
- Upload high-quality reference images for best subject preservation.
- Start with 5s to iterate, then extend once the look is right.
Notes
- Native audio generation included.
- Up to 4 reference images can be uploaded.
- Duration range: 4-15 seconds (continuous).
- Aspect ratio follows the input image composition.
Related Models
- Seedance 2.0 Image-to-Video — Standard version with highest quality.
- Seedance 2.0 Fast Text-to-Video — Fast text-guided video generation.
- Seedance 2.0 Text-to-Video — Standard text-guided video generation.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic ocean wave at sunrise, highly detailed",
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": 5,
"enable_web_search": false,
"generate_audio": true
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/bytedance/seedance-2.0-fast/image-to-video" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
-H "Content-Type: application/json" \
-d "${REQUEST_BODY}")
TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(curl --silent --show-error --fail-with-body \
"${RESULT_URL}" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}")
RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')
case "${STATUS}" in
completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
failed|cancelled|timeout|deleted) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
*) sleep 2 ;;
esac
doneParameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | Describe the scene, action, camera movement, and mood for the video. | |
| image | string | Yes | - | Start image URL to guide the video generation. | |
| last_image | string | No | - | - | Last frame image URL for video continuation. |
| aspect_ratio | string | No | - | 16:9, 9:16, 4:3, 3:4, 1:1, 21:9 | The aspect ratio of the generated video. If not specified, adapts to the input image. |
| resolution | string | No | 720p | 480p, 720p, 1080p, 4k | The output video resolution. |
| duration | integer | No | 5 | 4 ~ 15 | The duration of the generated video in seconds (4-15s). |
| enable_web_search | boolean | No | false | - | Enable web search for real-time information. |
| generate_audio | boolean | No | true | - | Whether to generate native audio synchronized with the output video. Defaults to true. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Output values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.status | string | Task status. completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses. |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<string | object> | Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model. |
| data.urls | object | Object containing related API endpoints |
| data.status | string | Status: completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses |
| data.created_at | string | ISO timestamp of when the request was created |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |