Recraft AI Recraft V4.1 Flash Text To Image API Documentation
Playground
Try it on WaveSpeedAI!Recraft V4.1 Flash Text-to-Image generates high-quality raster images from text prompts for photography, illustrations, creative compositions, marketing visuals, and production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Recraft V4.1 Flash Text-to-Image generates raster images directly from text prompts for fast creative exploration. Describe the subject, composition, lighting, and visual style, then choose a square, portrait, or landscape aspect ratio to generate the final image.
It is suited to photography, illustration, mixed-media compositions, product concepts, editorial visuals, and other workflows where fast text-to-image generation is useful.
Why Choose This?
-
Fast text-to-image generation
Turn natural-language descriptions into finished raster images. -
Flexible visual styles
Create photography, illustrations, mixed-media compositions, and other visual directions through prompting. -
Creative iteration
Quickly explore different subjects, compositions, lighting setups, and styles. -
Multiple aspect ratios
Generate square, portrait, or landscape images for different publishing and design needs. -
Simple workflow
Only a text prompt is required, making the endpoint easy to integrate into image-generation pipelines.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the image to generate, including subject, composition, lighting, and visual style. Length: 1–10000 characters. |
| aspect_ratio | No | Output aspect ratio: 1:1, 16:9, 9:16, 4:3, or 3:4. Default: 1:1. |
How to Use
- Write a prompt — Describe the subject, composition, lighting, colors, and visual style.
- Choose aspect ratio optional — Select a square, portrait, or landscape layout, or keep the default
1:1. - Submit — Generate the image.
- Retrieve the result — Access the generated raster image from the prediction response.
Pricing
Pricing is fixed at $0.008 per generated image.
| Output | Price |
|---|---|
| One generated image | $0.008 |
Best Use Cases
- Product concepts — Explore product ideas, presentation styles, and campaign imagery.
- Editorial visuals — Generate photography-style or illustrative images for articles and publications.
- Marketing creatives — Create campaign concepts, promotional graphics, and social media imagery.
- Illustration — Generate stylized or descriptive artwork directly from text.
- Mixed-media concepts — Explore compositions that combine different visual treatments and aesthetics.
- Rapid visual exploration — Test multiple creative directions quickly before final production.
Pro Tips
- Describe the main subject and composition before adding style details.
- Include lighting, color palette, environment, and mood when they matter to the result.
- Use
16:9or4:3for landscape compositions. - Use
9:16or3:4for portrait-oriented content. - Keep the prompt focused when you want stronger control over the main subject and composition.
- Iterate on prompt wording to explore different visual directions quickly.
Notes
aspect_ratiodefaults to1:1.- Supported aspect ratios are
1:1,16:9,9:16,4:3, and3:4. - Each successful request generates one raster image.
- This endpoint is for text-to-image generation, not image editing or vector generation.
- Custom dimensions and structured color controls are not exposed in this configuration.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic ocean wave at sunrise, highly detailed",
"aspect_ratio": "1:1"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/recraft-ai/recraft-v4.1-flash/text-to-image" \
-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 "${PREDICTION_ID}" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"
# 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' "${RESULT}" | jq '.outputs'; break ;;
failed|cancelled|timeout|deleted) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
*) sleep 2 ;;
esac
doneParameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | Text prompt for the generated image. | |
| aspect_ratio | string | No | 1:1 | 1:1, 16:9, 9:16, 4:3, 3:4 | Output image aspect ratio. |
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 |