Flux 1 Srpo Image To Image
Playground
Try it on WavespeedAI!FLUX.1 SRPO [dev] is a 12B-parameter flow transformer for high-quality image-to-image conversions that produce commercial visuals. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
flux-1-srpo/image-to-image
FLUX.1 SRPO [dev] is a 12-billion-parameter rectified flow transformer designed to enhance and reimagine images with exceptional clarity and aesthetic balance. It excels at high-quality image restoration, upscaling, and stylization — producing sharp, detailed results suitable for both personal and commercial use.
🌟 Key Features
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Next-Generation Super-Resolution Enhances image sharpness and texture detail while preserving natural color balance.
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Aesthetic Refinement Improves visual composition and lighting consistency for art, portraits, and photography.
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Flexible Style Fidelity Retains the original artistic tone or applies subtle enhancement depending on your prompt.
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Wide Format Support Outputs in both JPEG and PNG for web, print, or design workflows.
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Developer-Friendly [dev] Build Offers faster inference and adjustable parameters for integration and research testing.
⚙️ Capabilities
- Input: Image (JPEG / PNG)
- Output: Enhanced image (JPEG / PNG)
- Supported Tasks: Super-resolution, refinement, detail recovery, aesthetic enhancement
💰 Pricing
Per image just need $0.025 !!!
💡 Best Use Cases
- Photography & Retouching — Sharpen, restore, or elevate existing visuals.
- Design & Media Production — Create polished assets for advertising and social content.
- AI Art Enhancement — Refine outputs from generative models with smoother tones and richer detail.
- Commercial Print & Branding — Prepare upscale, high-fidelity assets for professional production.
📝 Notes
- Clear, high-resolution inputs produce the best enhancement results.
- For heavily stylized or low-detail images, subtle artifacts may appear.
- Available output formats: JPEG or PNG.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-1-srpo/image-to-image" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"strength": 0.8,
"num_inference_steps": 28,
"seed": -1,
"guidance_scale": 3.5,
"output_format": "jpeg",
"enable_base64_output": false,
"enable_sync_mode": false
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| image | string | No | - | The image to generate an image from. | |
| strength | number | No | 0.8 | 0.00 ~ 1.00 | Strength indicates extent to transform the reference image. |
| num_inference_steps | integer | No | 28 | 1 ~ 50 | The number of inference steps to perform. |
| seed | integer | No | -1 | -1 ~ 2147483647 | The random seed to use for the generation. -1 means a random seed will be used. |
| guidance_scale | number | No | 3.5 | 1.0 ~ 20.0 | The guidance scale to use for the generation. |
| output_format | string | No | jpeg | jpeg, png | The format of the output image. |
| enable_base64_output | boolean | No | false | - | If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API. |
| enable_sync_mode | boolean | No | false | - | If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API. |
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 | Array of URLs to the generated content (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.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| 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, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | Array of URLs to the generated content (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 |