Bytedance Seedance 2.5 Image To Video Turbo API Documentation

Bytedance Seedance 2.5 Image To Video Turbo API Documentation

Playground

Seedance 2.5 (Image-to-Video Turbo) generates cinematic 720p/1080p videos from reference images —a faster, more affordable high-resolution tier with native audio-visual synchronization, director-level control, and exceptional motion stability.

Features

Seedance 2.5 Image-to-Video Turbo generates high-resolution cinematic videos from reference images with turbo generation. Upload a start image, describe the motion and scene, optionally provide a last-frame image, and generate 720p or 1080p video with synchronized audio.

Why Choose This?

• Turbo image-to-video generation
  Generate high-resolution videos with faster turbo delivery.

• 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 video continuation direction.

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

• Director-style prompt control
  Control camera movement, lighting, atmosphere, character performance, and scene progression through prompts.

• 720p and 1080p output
  Choose 720p for lower-cost generation or 1080p for higher-resolution output.

Parameters

The output aspect ratio follows the input image automatically.

How to Use

1. Upload the start image — Provide the image that should guide the first frame, subject, composition, and style.
2. Write your prompt — Describe the motion, camera movement, lighting, mood, and scene development.
3. Add last image optional — Use last_image when you want to guide the final frame or ending direction.
4. Choose resolution — Select 720p for lower-cost generation or 1080p for higher-resolution output.
5. Set duration — Choose a video length from 4 to 30 seconds.
6. Configure audio optional — Keep generate_audio enabled when synchronized audio is needed.
7. 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

Pricing

Pricing is based on selected resolution and duration.

Best Use Cases

• Turbo HD video generation — Generate 720p or 1080p videos from reference images with faster turnaround.
• Product demos — Animate product shots into high-resolution showcase videos.
• Ad creatives — Create commercial-style footage for campaigns and marketing tests.
• Character animation — Bring character art or portraits to life with cinematic motion.
• Start-and-end-frame generation — Use image and last_image to guide both the beginning and ending of the video.
• Social media content — Generate polished short-form videos from still images.

Pro Tips

• Use high-quality reference images for stronger subject preservation.
• Write prompts like a film director, including camera movement, lighting, action, and mood.
• Use last_image when the ending frame or final visual direction matters.
• Use 720p for lower-cost testing and 1080p for higher-resolution output.
• Start with shorter durations for quick iteration, then increase the duration when the motion direction is confirmed.
• Keep the prompt focused on visible motion and scene progression.

Related Models

• Seedance 2.5 Image-to-Video — Higher-quality image-to-video generation.
• Seedance 2.5 Text-to-Video Turbo — Generate videos from text prompts with the turbo workflow.
• Seedance 2.0 Fast Image-to-Video Turbo — Speed-optimized image-to-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",
  "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-turbo" \
  -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

Response Parameters

Result Request Parameters

Result Response Parameters