Bytedance Seedance 2.5 Image To Video Spicy API Documentation

Bytedance Seedance 2.5 Image To Video Spicy API Documentation

Playground

Try it on WaveSpeedAI!

Seedance 2.5 Spicy Image to Video is a fast AI image-to-video generation model that creates high-quality cinematic clips from images, optimized for scalable content generation with smooth animations and stable aesthetics. Ready-to-use REST inference API for animating images, social media clips, product videos, advertising creatives, visual storytelling, and professional image-to-video workflows with simple integration, no coldstarts, and affordable pricing.

Features

Seedance 2.5 Spicy Image-to-Video generates high-quality cinematic videos from images with smooth, expressive motion. It transforms static images into dynamic video with bold movement, rich tonal contrast, stable temporal coherence, and optional synchronized audio.


Why Choose This?

  • Spicy image-to-video generation
    Generate expressive cinematic clips from reference images.

  • Image-faithful generation
    Preserve the reference image’s subject identity, composition, lighting, and style while adding motion.

  • Optional last-frame guidance
    Use last_image to guide the final frame or ending direction of the generated video.

  • Native audio generation
    Generate synchronized audio together with the video output.

  • Flexible resolution options
    Choose 480p, 720p, 1080p, or 4k depending on quality and cost needs.

  • Seed control
    Use a fixed seed for reproducible results, or -1 for random generation.


Parameters

ParameterRequiredDescription
imageYesReference image to animate.
promptNoDescribe the desired motion, story, camera behavior, mood, and style.
last_imageNoOptional ending frame to guide the final composition.
durationNoVideo length in seconds. Range: 4–15. Default: 5.
resolutionNoOutput resolution: 480p, 720p, 1080p, or 4k. Default: 720p.
generate_audioNoGenerate synchronized audio for the output video. Default: true.
seedNoRandom seed. Use -1 for a random seed.

The output aspect ratio follows the input image automatically.


How to Use

  1. Upload your image — Provide a clear, well-framed reference image.
  2. Write a prompt optional — Describe the desired motion, mood, camera movement, or scene progression.
  3. Add last image optional — Use last_image when you want to guide the final frame.
  4. Select resolution — Choose 480p, 720p, 1080p, or 4k.
  5. Set duration — Choose a video length from 4 to 15 seconds.
  6. Configure audio optional — Keep generate_audio enabled when synchronized audio is needed.
  7. Set seed optional — Use a fixed seed when you need reproducible results.
  8. Submit — Generate the final image-to-video output.

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 — @image1, @video1, @audio1 — and say what it’s for. Don’t rely on labels drawn inside the image itself.

  • “The knight in @image1 walks through the castle in @image2.”
  • “Refer to @video1 for the camera movement only; keep its shot order.”
  • “@image1 and @image2 are Character 1, voiced by @audio1.”

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
weakmake it move
strongThe 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

Pricing is based on selected resolution and duration.

ResolutionPer 5sPer second
480p$0.90$0.18
720p$1.80$0.36
1080p$4.50$0.90
4k$9.00$1.80

Example Costs

Resolution5s10s15s30s
480p$0.90$1.80$2.70$5.40
720p$1.80$3.60$5.40$10.80
1080p$4.50$9.00$13.50$27.00
4k$9.00$18.00$27.00$54.00

Best Use Cases

  • Cinematic image animation — Turn still images into expressive motion clips.
  • Character animation — Bring character art, portraits, and illustrated subjects to life.
  • Creative storytelling — Generate short cinematic scenes from a single visual reference.
  • Social media content — Create vertical, square, or landscape-style motion assets based on the input image ratio.
  • Ad creatives — Produce stylized video variants from product, character, or campaign images.
  • Motion prototyping — Test camera movement, subject motion, and atmosphere before final production.

Pro Tips

  • Use clear, well-lit images with the main subject visible.
  • Describe motion, camera movement, lighting, mood, and scene progression in the prompt.
  • Use last_image when the ending frame or final composition matters.
  • Start with 480p or 720p and shorter durations for iteration.
  • Use 1080p or 4k when final output quality matters.
  • Keep the prompt focused on visible motion and how the scene should evolve over time.
  • Use a fixed seed when comparing prompt variations or reproducing similar outputs.

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'
{
  "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
  "resolution": "720p",
  "duration": 5,
  "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-2.5/image-to-video-spicy" \
  -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
done

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
imagestringYes-Start image URL to guide the video generation.
promptstringNo-Describe the scene, action, camera movement, and mood for the video.
last_imagestringNo--Last frame image URL for video continuation.
resolutionstringNo720p480p, 720p, 1080p, 4kThe output video resolution.
durationintegerNo54 ~ 30The duration of the generated video in seconds (4-30s).
generate_audiobooleanNotrue-Whether to generate native audio synchronized with the output video. Defaults to true.
seedintegerNo--The random seed to use for the generation. -1 means a random seed will be used.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayOutput values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.statusstringTask status. completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses.
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction
data.modelstringModel ID used for the prediction
data.outputsarray<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.urlsobjectObject containing related API endpoints
data.statusstringStatus: completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses
data.created_atstringISO timestamp of when the request was created
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
© 2026 WaveSpeedAI. All rights reserved.