Pixverse Pixverse V5.5 Image To Video API Documentation

Pixverse Pixverse V5.5 Image To Video API Documentation

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PixVerse V5.5 Image-to-Video turns a single image into cinematic clips with smooth motion, clean detail, and strong subject fidelity—ideal for logo stingers, character motion, and social posts. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.

Features

PixVerse v5.5 Image-to-Video animates a single image into a short cinematic clip. You provide a still frame plus a prompt; the model adds motion, camera moves, lighting changes and FX while keeping the original character, composition and style intact.


✨ Highlights

  • Image-aware animation – Uses your input image as the first frame, preserving identity, pose and layout.
  • Flexible formats – Resolutions from 360p–1080p and aspect ratios 16:9, 4:3, 1:1, 3:4, 9:16 for feeds, stories and banners.
  • Multiple durations – Generate 5s, 8s or 10s clips for hooks, shorts or slightly longer moments.
  • Prompt reasoning (thinking_type) – Optional system optimisation that can refine complex prompts before generation.

🧩 Parameters

  • prompt* (string) Up to 2048 characters describing motion, camera, lighting and style. Example: “Dynamic anime close-up, wind blowing cloak and hair, camera slowly circling, sparks and glowing embers in the background.”

  • image* (URL or upload) The source frame to animate. Front-facing, well-lit images work best.

  • resolution One of 360p, 540p, 720p, 1080p.

  • duration 5, 8 or 10 seconds.(10 seconds is not available for 1080p)

  • thinking_type

  • “enabled” – Turn on system-level reasoning to structure and optimise your prompt.

  • “disabled” – Use your prompt exactly as written.

  • “auto” (default) – Let the system decide whether to enable prompt optimizer automatically.

  • negative_prompt (optional) Words you don’t want in the video, e.g. watermark, logo, text, distortion.

  • seed (integer) Fix a seed for reproducible runs, or change it to get new variations from the same setup.


💰 Pricing

Resolution5s clip (total)8s clip (total)10s clip (total)*
360p$0.85$1.30$1.39
540p$0.85$1.30$1.39
720p$1.00$1.60$1.72
1080p$1.60$2.80-

🚀 How to Use

  1. Upload your image Add a clean, high-quality frame under image – ideally with clear subject and minimal motion blur.

  2. Write the prompt Focus on how things move, camera path and overall mood, not on redesigning the character.

  • Good: “Camera slowly pushes in, cloak flutters in the wind, sparks drift across frame, cinematic lighting.”
  • Risky: “Change clothes and hairstyle completely while the character runs and transforms into a dragon.”
  1. Choose resolution & ratio
  • 16:9 for YouTube / landscape.
  • 9:16 for TikTok / Reels / Stories.
  • 1:1 or 4:3 for feed posts.
  1. Set duration and resolution
  • Select resolution from 360p,540p,720p,1080p
  • Select duration from 5s, 8s or 10s (Not available for 1080p)
  1. (Optional) Adjust thinking_type, negative_prompt and seed
  • Use enabled or auto for complex, multi-sentence prompts. The model will optimize it for you to generate better video output.
  • Add a short negative prompt to avoid artefacts.
  • Lock the seed while you tweak small details.
  1. Run and iterate Generate the clip, review motion and framing, then refine your prompt or duration as needed.

💡 Best Practices

  • Keep the image and prompt aligned – don’t describe a totally different scene or character.
  • Use medium or close shots for character-focused animations; wide shots can feel sparse.
  • For platforms with heavy compression, prefer 720p / 1080p to keep details clean.
  • Avoid overloading the prompt with too many actions; 1–3 clear motions usually work best.

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",
  "resolution": "540p",
  "duration": 5,
  "generate_audio_switch": false,
  "generate_multi_clip_switch": false,
  "thinking_type": "auto"
}
JSON
)

# 1. Submit the prediction once. Never retry this request automatically:
# a retry after an unclear failure can create a second, billed task.
CHECK='The task may already exist. Check History or the predictions list before submitting again.'
if ! SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  --connect-timeout 10 --max-time 60 \
  -X POST "https://api.wavespeed.ai/api/v3/pixverse/pixverse-v5.5/image-to-video" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}"); then
  printf 'Submit failed. %s\n' "${CHECK}" >&2
  exit 1
fi

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 "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id. %s\n' "${CHECK}" >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"

# 2. Poll until the prediction reaches a final status.
BODY_FILE=$(mktemp)
trap 'rm -f "${BODY_FILE}"' EXIT
while true; do
  # Transient errors (429, 5xx) are retried, honoring Retry-After.
  HTTP_CODE=$(curl --silent --show-error --fail-with-body \
    --connect-timeout 10 --max-time 60 --retry 5 --retry-delay 2 \
    --output "${BODY_FILE}" --write-out '%{http_code}' \
    "${RESULT_URL}" \
    -H "Authorization: Bearer ${WAVESPEED_API_KEY}" || true)
  case "${HTTP_CODE}" in
    2??) ;;
    000|429|5??)  # dropped connection or temporary error: keep polling
      printf 'Task %s: HTTP %s, polling again in 10s\n' "${PREDICTION_ID}" "${HTTP_CODE}" >&2
      sleep 10; continue ;;
    *) printf 'Task %s: HTTP %s\n' "${PREDICTION_ID}" "${HTTP_CODE}" >&2
      cat "${BODY_FILE}" >&2; exit 1 ;;
  esac
  RESULT=$(jq 'if type == "object" and has("data") then .data else . end' "${BODY_FILE}")
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  case "${STATUS}" in
    completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
    failed|cancelled|timeout|deleted)
      printf 'Task %s ended with status %s\n' "${PREDICTION_ID}" "${STATUS}" >&2
      printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done

Retry temporary errors only while polling, never the submit request. Errors, retries and timeouts

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The positive prompt for the generation.
imagestringNo-First frame of the video; Supported image formats include.jpg/.jpeg/.png; The image file size cannot exceed 10MB, and the image resolution should not be less than 300*300px, and the aspect ratio of the image should be between 1:2.5 ~ 2.5:1.
resolutionstringNo540p360p, 540p, 720p, 1080pThe resolution of the generated media.
durationintegerNo55, 8, 10The duration of the generated media.
generate_audio_switchbooleanNofalse-Enable audio generation for the video.
generate_multi_clip_switchbooleanNofalse-Enable multi-clip generation with dynamic camera changes.
thinking_typestringNoautoenabled, disabled, autoPrompt reasoning enhancement.
negative_promptstringNo-Advanced option. The negative prompt for the generation.
seedintegerNo--Advanced option. The random seed to use for the generation.

Conditional constraints

  • When resolution is 1080p: duration must be one of 5, 8.
  • When resolution is one of 360p, 540p, 720p: duration must be one of 5, 8, 10.

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
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