Bytedance Seedream V5.0 Pro API Documentation
Playground
Try it on WaveSpeedAI!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
Choose1kor1.5kfor lower-cost generation, or2kfor higher-resolution output. -
Flexible aspect ratios
Supports square, portrait, landscape, tall, wide, and cinematic aspect ratios. -
Prompt optimization
Usestandardprompt optimization for fuller prompt rewriting, orfastmode for quicker generation with lighter optimization. -
Standard output formats
Generate images injpegorpngformat. -
Clean text-to-image workflow
Provide a prompt, choose output settings, and generate the final image.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Positive prompt for the image generation. Describe the subject, scene, style, lighting, composition, and visual details. |
| aspect_ratio | No | Output 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. |
| resolution | No | Output resolution tier: 1k, 1.5k, or 2k. |
| output_format | No | Output image 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
- Write your prompt — Describe the subject, scene, style, lighting, composition, and visual details.
- Choose aspect ratio — Select the layout that matches your target format.
- Choose resolution — Use
1kor1.5kfor lower-cost drafts, or2kfor higher-resolution output. - Choose output format — Select
jpegorpng. - Set prompt optimization optional — Use
standardfor fuller prompt rewriting orfastfor quicker generation with lighter optimization. - Submit — Generate the final image.
Pricing
Pricing is based on selected resolution.
| Resolution | Cost |
|---|---|
| 1k | $0.045 |
| 1.5k | $0.045 |
| 2k | $0.090 |
Best Use Cases
- High-quality image generation — Create polished images from detailed text prompts.
- Marketing visuals — Generate campaign assets, social media graphics, and promotional images.
- Creative concepting — Explore characters, environments, products, and visual styles.
- Layout-specific assets — Generate square, portrait, landscape, tall, wide, or cinematic images.
- Production image workflows — Use
2kwhen higher-resolution output is needed. - Fast visual iteration — Use
fastprompt optimization when speed matters more than detailed prompt rewriting.
Pro Tips
-
Use
prompt_optimization_mode: fastfor quick iterations andstandardfor the final image; the difference is a few seconds versus tens of seconds on the same prompt. -
Use detailed prompts with subject, composition, lighting, style, mood, and background details.
-
Choose
1kor1.5kfor faster and lower-cost prompt iteration. -
Choose
2kwhen you need higher-resolution final images. -
Use
9:16for vertical mobile content and16:9for widescreen layouts. -
Use
jpegfor general-purpose images andpngwhen PNG output is needed. -
Use
standardprompt optimization for complex or detailed prompts. -
Use
fastprompt optimization when you want quicker generation and lighter prompt rewriting. -
Keep prompts clear and focused for stronger prompt adherence.
Related Models
- Seedream V5.0 Pro Edit — Edit images with text instructions.
- Seedream V5.0 Lite — Lightweight image generation model.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic ocean wave at sunrise, highly detailed",
"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
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. | |
| aspect_ratio | string | No | 1:1 | 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. Defaults to 1:1. |
| 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 |