Recraft AI Recraft Creative Upscale
Playground
Try it on WaveSpeedAI!Recraft Creative Upscale refines textures and fine details, adding depth and polish to complex elements—not increasing resolution. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Enhance and upscale images with Recraft’s AI-powered creative upscaler. This intelligent model goes beyond simple resolution increase — it reconstructs details, enhances textures, and improves overall image quality while maintaining natural appearance.
Why It Looks Great
- Creative enhancement: Intelligently reconstructs details, not just enlarges pixels.
- Texture improvement: Enhances fine details like hair, skin, fabric, and foliage.
- Natural results: Maintains authentic appearance without artificial over-sharpening.
- Simple workflow: Just upload an image — no complex parameters needed.
- High-quality output: Professional-grade upscaling for print and digital use.
Parameters
| Parameter | Required | Description |
|---|---|---|
| image | Yes | The image to upscale (upload or public URL, also accepts base64). |
How to Use
- Upload your image — drag and drop or paste a public URL.
- Run — click the button to process.
- Download — save your enhanced, upscaled image.
Pricing
Flat rate per image.
| Output | Cost |
|---|---|
| Per image | $0.25 |
Best Use Cases
- Portrait Enhancement — Upscale portraits with improved skin texture and hair detail.
- Photo Restoration — Enhance older or lower-resolution photos.
- Print Preparation — Increase resolution for large-format printing.
- Social Media to Print — Convert web-resolution images for physical media.
- Product Photography — Enhance product images for catalogs and e-commerce.
Pro Tips for Best Results
- Start with the highest quality source image available for best results.
- Works well with portraits, landscapes, and product photography.
- Creative upscaling adds intelligent detail — ideal for images that need enhancement.
- For simple resolution increase without creative enhancement, consider standard upscalers.
- Best results come from images with good composition and reasonable original quality.
Notes
- If using a URL, ensure it is publicly accessible. A preview thumbnail confirms successful loading.
- Also accepts base64 encoded images for API integration.
- Processing time may vary based on image size and complexity.
- Creative upscaling intelligently enhances details beyond simple interpolation.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
}
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-creative-upscale" \
-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
doneParameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| image | string | Yes | - | The image to edit, can be a URL or base64 encoded image. | |
| enable_base64_output | boolean | No | false | - | 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
| 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.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| 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.urls.get | string | URL to poll for the prediction result |
| data.status | string | Status: created, processing, completed, or failed |
| 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 |