Bytedance Seedream V5.0 Pro Edit API Documentation

Bytedance Seedream V5.0 Pro Edit API Documentation

Playground

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Seedream V5.0 Pro Edit by ByteDance edits and generates images from single-image or multi-reference inputs, supporting up to 10 reference images, aspect ratio selection, and 1K / 2K output tiers. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Seedream V5.0 Pro Edit is a multimodal image editing model built for professional work: interactive precision editing, multi-reference control, photographic realism, and native multilingual text.


Why Choose This?

  • Multi-image reference editing
    Use up to 10 reference images for complex edits, compositions, and visual guidance.

  • Natural language editing
    Describe the desired edit in plain text and let the model transform the input images accordingly.

  • Pro image quality
    Designed for high-quality image editing with strong prompt adherence and polished visual output.

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

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

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


Parameters

ParameterRequiredDescription
promptYesText description of the desired edit.
imagesYesReference image URLs or Base64 strings. Supports up to 10 images.
aspect_ratioNoOutput aspect ratio.
resolutionNoOutput resolution tier: 1k, 1.5k, or 2k.
output_formatNoOutput format: jpeg or png.

How to Use

  1. Upload reference images — Provide one or more images to guide the edit.
  2. Write your prompt — Describe what should change and what should stay the same.
  3. Choose aspect ratio — Select a supported aspect ratio, or leave it empty to follow the closest supported ratio from the first input image.
  4. Choose resolution — Use 1k or 1.5k for lower-cost edits, or 2k for higher-resolution output.
  5. Choose output format — Select jpeg or png.
  6. Submit — Generate the final edited image.

Pricing

Pricing includes the selected output resolution plus reference image input cost. The first input image is included; each additional input image costs $0.003.

ResolutionBase Price
1k$0.045
1.5k$0.045
2k$0.090

Example Costs

ResolutionInput ImagesCost
1k1$0.045
1k2$0.048
1k10$0.072
1.5k1$0.045
1.5k2$0.048
1.5k10$0.072
2k1$0.090
2k2$0.093
2k10$0.117

Best Use Cases

  • Single-image editing — Edit one source image with natural-language instructions.
  • Multi-reference composition — Use multiple images to guide complex edits and visual combinations.
  • Product image editing — Refine product visuals, backgrounds, styles, and presentation.
  • Character and style guidance — Use reference images to preserve identity, outfit, mood, or visual style.
  • Marketing image workflows — Generate polished edited assets for campaigns, social media, and product content.
  • Creative iteration — Test different edit directions using the same reference images.

Pro Tips

  • Use clear prompts that describe both what should change and what should remain unchanged.
  • Use multiple reference images when identity, product details, or style consistency matters.
  • Leave aspect_ratio empty when you want the output to follow the closest supported ratio from the first input image.
  • Choose 1k or 1.5k for lower-cost editing and fast iteration.
  • Choose 2k when you need higher-resolution final output.
  • Use jpeg for general-purpose edited images and png when PNG output is needed.
  • Keep reference images clear, relevant, and visually consistent with the desired edit.

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",
  "images": [
    "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
  ],
  "aspect_ratio": "1:1",
  "resolution": "1k",
  "output_format": "jpeg",
  "optimize_prompt_options": "standard"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/bytedance/seedream-v5.0-pro/edit" \
  -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 "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi

# 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) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The positive prompt for the generation.
imagesarray<string>Yes-0 ~ 10 itemsThe images to edit. A maximum of 10 reference images can be uploaded.
aspect_ratiostringNo-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, 21:9The aspect ratio of the generated image. Leave empty to automatically use the closest supported aspect ratio based on the first input image.
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.
optimize_prompt_optionsstringNostandardstandard, 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, and is served only by the upstream providers that honour it, so it has less failover depth.
enable_sync_modebooleanNofalse-If set to `true`, the request attempts to wait for the generated result and return outputs in the same response. If the result is not ready within the sync wait window, the API can return a timeout body while the task continues processing. This option is only available via the API and is supported only by some models.
enable_base64_outputbooleanNofalse-If set to `true`, the prediction's `output` strings are returned as **naked base64** (no `data:<mime>;base64,` prefix). When `false` (default), outputs are returned as URLs pointing to our CDN.

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.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
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.urls.getstringURL to poll for the prediction result
data.statusstringStatus: created, processing, completed, or failed
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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