bfl/flux-1/srpo/image-to-image
Flux 1 Srpo by BFL - AI-powered image editing, style transfer, and transformation. Edit photos with natural language instructions, remove backgrounds, change styles, and enhance images effortlessly.
PNG, JPEG, WebP, or GIF · 20 MiB maximum
Example output — click Run to generate your own
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OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/runbfl/flux-1/srpo/image-to-imageInput Schema
7 parameters · 2 required · 5 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
image | string | Required | The URL of the image to generate an image from. |
prompt | string | Required | The prompt to generate an image from. |
seed | integer | Optional | The same seed and the same prompt given to the same version of the model will output the same image every time. |
strength | number | Optional | The strength of the initial image. Higher strength values are better for this model. · Min: 0.01 · Max: 1 · Default: 0.95 |
output_format | string | Optional | The format of the generated image. · Options: jpeg, png · Default: "jpeg" jpegpng |
guidance_scale | number | Optional | Min: 1 · Max: 20 · Default: 4.5 |
num_inference_steps | integer | Optional | Min: 10 · Max: 50 · Default: 40 |
Output Schema
| Field | Type | Description |
|---|---|---|
id | string | Unique identifier for the generation task |
status | string | Task status: pending, running, completed, failed, timeout |
model | string | Model used for the generation |
outputs | array | Array of output items |
outputs[].url | string | URL of the generated artifact |
outputs[].content_type | string | MIME type (e.g. image/png, video/mp4) |
error | object | null | Error details if failed, null on success |
error.type | string | Machine-readable error type code |
error.message | string | Human-readable error description |
Async Workflow
This model uses asynchronous execution. Submit a request and poll for the result.
- Submit — POST to /v1/run, receive an
id - Poll — GET /v1/run/{id} until status is
completed,failed, ortimeout - Retrieve — Read
outputsfrom the completed response
Code Examples
Ready-to-run snippets
# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "bfl/flux-1/srpo/image-to-image",
"image": "https://static.sandbase.ai/examples/bfl/flux-1/srpo/image-to-image/input_image_0.png",
"prompt": "A cat dressed as a wizard with a background of a mystic forest.",
"strength": 0.95,
"output_format": "jpeg",
"guidance_scale": 4.5,
"num_inference_steps": 40
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
FLUX.1 SRPO [dev]
FLUX.1 SRPO [dev] uses a preference-optimized FLUX.1 variant designed to favor visually compelling, prompt-aligned image results. This image-to-image route begins from a supplied source and transforms its appearance or content while retaining the visual foundation needed by the brief.
Use it when aesthetic selection and clear prompt interpretation matter more than neutral base-model behavior. Explain both the desired transformation and the composition, subject identity, or structure that should survive the edit. SRPO’s role is to improve the model’s preference toward satisfying results, while the brief remains responsible for the exact creative target.
Highlights
- Preference-optimized editing. Applies an aesthetic and prompt-alignment preference model to source-led transformation.
- Source composition retention. Keeps useful structure and identity from the input while changing requested content or style.
- Visually satisfying reconstruction. Favors coherent color, lighting, detail, and composition in the revised result.
- Directed semantic change. Uses natural-language art direction for object, environment, and stylistic revisions.
Pricing
| Configuration | Billing unit | Price |
|---|---|---|
| Base generation | Per request | $0.025 |
When to Use
| ✅ Good fit | ❌ Consider alternatives |
|---|---|
| The project needs this exact generation or editing route | The intended task belongs to video, audio, or 3D media |
| Available references match every required local field | Required source assets or rights are unavailable |
| The brief can specify composition, color, and finish | Output must be deterministic at pixel level |
| Supported dimensions and formats fit final placement | Delivery requires unsupported canvas specifications |
| An asynchronous generated image fits production | A live frame-synchronous response is mandatory |
Prompt Guide
Write a complete visual brief: identify the subject and references, define composition and viewpoint, describe lighting, palette, materials, typography, and finish, then list exact preservation constraints. FLUX.2 Klein does not rely on prompt upsampling, so use clear descriptive sentences rather than sparse keywords.
{
"prompt": "A photorealistic editorial composition with precise subject placement, controlled lighting, exact colors, and clean typography",
"image": "https://example.com/reference.jpg",
"seed": 1,
"strength": 0.95,
"output_format": "jpeg"
}
Technical Specs
| Spec | Value |
|---|---|
| Model ID | bfl/flux-1/srpo/image-to-image |
| Input fields | seed (integer)<br>image (string)<br>prompt (string)<br>strength (number; 0.01–1)<br>output_format (string; jpeg, png)<br>guidance_scale (number; 1–20)<br>num_inference_steps (integer; 10–50) |
| Required input | prompt, image |
| Output fields | url, content_type |
| Execution | Asynchronous job |
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