Bytedance Seedream V5.0 Pro Edit API Documentation
Playground
Try it on WaveSpeedAI!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
Choose1kor1.5kfor lower-cost edits, or2kfor higher-resolution output. -
Flexible aspect ratios
Supports square, portrait, landscape, tall, and wide aspect ratios. -
Standard output formats
Generate edited images injpegorpngformat.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the desired edit. |
| images | Yes | Reference image URLs or Base64 strings. Supports up to 10 images. |
| aspect_ratio | No | Output aspect ratio. |
| resolution | No | Output resolution tier: 1k, 1.5k, or 2k. |
| output_format | No | Output format: jpeg or png. |
| prompt_optimization_mode | No | Prompt 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
- Upload reference images — Provide one or more images to guide the edit.
- Write your prompt — Describe what should change and what should stay the same.
- Choose aspect ratio — Select a supported aspect ratio, or leave it empty to follow the closest supported ratio from the first input image.
- Choose resolution — Use
1kor1.5kfor lower-cost edits, or2kfor higher-resolution output. - Choose output format — Select
jpegorpng. - 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.
| Resolution | Base Price |
|---|---|
| 1k | $0.045 |
| 1.5k | $0.045 |
| 2k | $0.090 |
Example Costs
| Resolution | Input Images | Cost |
|---|---|---|
| 1k | 1 | $0.045 |
| 1k | 2 | $0.048 |
| 1k | 10 | $0.072 |
| 1.5k | 1 | $0.045 |
| 1.5k | 2 | $0.048 |
| 1.5k | 10 | $0.072 |
| 2k | 1 | $0.090 |
| 2k | 2 | $0.093 |
| 2k | 10 | $0.117 |
Best Use Cases
- Single-image editing — Edit one source image with natural-language instructions.
- Multi-reference composition — Use multiple images to guide complex edits and visual combinations.
- Product image editing — Refine product visuals, backgrounds, styles, and presentation.
- Character and style guidance — Use reference images to preserve identity, outfit, mood, or visual style.
- Marketing image workflows — Generate polished edited assets for campaigns, social media, and product content.
- Creative iteration — Test different edit directions using the same reference images.
Pro Tips
-
Use
prompt_optimization_mode: fastwhile iterating on an edit, andstandardfor the final render — the fast rewrite is several times quicker but follows long instructions less closely. -
Use clear prompts that describe both what should change and what should remain unchanged.
-
Use multiple reference images when identity, product details, or style consistency matters.
-
Leave
aspect_ratioempty when you want the output to follow the closest supported ratio from the first input image. -
Choose
1kor1.5kfor lower-cost editing and fast iteration. -
Choose
2kwhen you need higher-resolution final output. -
Use
jpegfor general-purpose edited images andpngwhen PNG output is needed. -
Keep reference images clear, relevant, and visually consistent with the desired edit.
Related Models
- Seedream V5.0 Pro — Generate images from text prompts.
- Seedream V5.0 Lite Edit — Lightweight image editing model.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(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",
"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/edit" \
-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
doneRetry temporary errors only while polling, never the submit request. Errors, retries and timeouts
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| images | array<string> | Yes | - | 0 ~ 10 items | The images to edit. A maximum of 10 reference images can be uploaded. |
| aspect_ratio | string | No | - | 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, 21:9 | The aspect ratio of the generated image. If not specified, it is determined automatically from the input image. |
| resolution | string | No | 1k | 1k, 1.5k, 2k | The output resolution tier used for billing. 1k is the lower-cost tier; 2k is the higher-cost tier. |
| output_format | string | No | jpeg | jpeg, png | The format of the output image. |
| prompt_optimization_mode | string | No | standard | standard, fast | Prompt 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
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Output values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.status | string | Task status. completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses. |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<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.urls | object | Object containing related API endpoints |
| data.status | string | Status: completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses |
| data.created_at | string | ISO timestamp of when the request was created |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |