Bytedance Seedream V5.0 Pro API Documentation

Bytedance Seedream V5.0 Pro API Documentation

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Seedream V5.0 Pro Text to Image by ByteDance generates high-quality images from text prompts, with aspect ratio selection, strong prompt following, and 1K / 2K output tiers for flexible image creation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Seedream V5.0 Pro is a multimodal image model built for professional work: high-density infographics, precise composition, photographic realism, and native multilingual text. It supports flexible aspect ratios, multiple resolution tiers, prompt optimization, and standard image output formats for production image workflows.


Why Choose This?

  • Pro image quality
    Designed for high-quality image generation with strong prompt adherence.

  • Flexible resolution tiers
    Choose 1k or 1.5k for lower-cost generation, or 2k for higher-resolution output.

  • Flexible aspect ratios
    Supports square, portrait, landscape, tall, wide, and cinematic aspect ratios.

  • Prompt optimization
    Use standard prompt optimization for fuller prompt rewriting, or fast mode for quicker generation with lighter optimization.

  • Standard output formats
    Generate images in jpeg or png format.

  • Clean text-to-image workflow
    Provide a prompt, choose output settings, and generate the final image.


Parameters

ParameterRequiredDescription
promptYesPositive prompt for the image generation. Describe the subject, scene, style, lighting, composition, and visual details.
aspect_ratioNoOutput aspect ratio. Options: 1:1, 1:2, 2:1, 1:3, 3:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 9:21, or 21:9.
resolutionNoOutput resolution tier: 1k, 1.5k, or 2k.
output_formatNoOutput image format: jpeg or png.
prompt_optimization_modeNoPrompt optimization mode: standard (default) or fast. The model rewrites your prompt before generating; fast uses a lighter rewrite that returns several times quicker but follows long or intricate prompts less closely. Reference time: 14s (fast) vs 26s (standard) on the same prompt.

How to Use

  1. Write your prompt — Describe the subject, scene, style, lighting, composition, and visual details.
  2. Choose aspect ratio — Select the layout that matches your target format.
  3. Choose resolution — Use 1k or 1.5k for lower-cost drafts, or 2k for higher-resolution output.
  4. Choose output format — Select jpeg or png.
  5. Set prompt optimization optional — Use standard for fuller prompt rewriting or fast for quicker generation with lighter optimization.
  6. Submit — Generate the final image.

Pricing

Pricing is based on selected resolution.

ResolutionCost
1k$0.045
1.5k$0.045
2k$0.090

Best Use Cases

  • High-quality image generation — Create polished images from detailed text prompts.
  • Marketing visuals — Generate campaign assets, social media graphics, and promotional images.
  • Creative concepting — Explore characters, environments, products, and visual styles.
  • Layout-specific assets — Generate square, portrait, landscape, tall, wide, or cinematic images.
  • Production image workflows — Use 2k when higher-resolution output is needed.
  • Fast visual iteration — Use fast prompt optimization when speed matters more than detailed prompt rewriting.

Pro Tips

  • Use prompt_optimization_mode: fast for quick iterations and standard for the final image; the difference is a few seconds versus tens of seconds on the same prompt.

  • Use detailed prompts with subject, composition, lighting, style, mood, and background details.

  • Choose 1k or 1.5k for faster and lower-cost prompt iteration.

  • Choose 2k when you need higher-resolution final images.

  • Use 9:16 for vertical mobile content and 16:9 for widescreen layouts.

  • Use jpeg for general-purpose images and png when PNG output is needed.

  • Use standard prompt optimization for complex or detailed prompts.

  • Use fast prompt optimization when you want quicker generation and lighter prompt rewriting.

  • Keep prompts clear and focused for stronger prompt adherence.


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",
  "aspect_ratio": "1:1",
  "resolution": "1k",
  "output_format": "jpeg",
  "prompt_optimization_mode": "standard"
}
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/bytedance/seedream-v5.0-pro" \
  -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.
aspect_ratiostringNo1:11:1, 1:2, 2:1, 1:3, 3:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 9:21, 21:9The aspect ratio of the generated image. Defaults to 1:1.
resolutionstringNo1k1k, 1.5k, 2kThe output resolution tier used for billing. 1k is the lower-cost tier; 2k is the higher-cost tier.
output_formatstringNojpegjpeg, pngThe format of the output image.
prompt_optimization_modestringNostandardstandard, fastPrompt optimization mode. The model rewrites your prompt before generating. 'standard' uses the full rewrite; 'fast' uses a lighter one that generates several times quicker but follows long or intricate prompts less closely.

Every model also accepts the global request options enable_sync_mode and enable_base64_output; see their pages for details.

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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