bfl/flux-2/dev/edit
Flux 2 Dev Edit is BFL's intelligent image editing model. Transform, retouch, and reimagine existing images using text prompts - from background replacement to artistic style conversion.
PNG, JPEG, WebP, or GIF · 20 MiB maximum each
Example output — click Run to generate your own
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/runbfl/flux-2/dev/editInput Schema
7 parameters · 1 required · 6 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt | string | Required | The prompt to edit the image. |
seed | integer | Optional | The seed to use for the generation. If not provided, a random seed will be used. |
images | string[] | Optional | The URLs of the images for editing. A maximum of 4 images are allowed, if more are provided, only the first 4 will be used. |
aspect_ratio | string | Optional | The aspect ratio of the generated image. · Options: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16 21:916:93:24:35:41:14:53:42:39:16 |
output_format | string | Optional | The format of the generated image. · Options: jpeg, png · Default: "png" jpegpng |
guidance_scale | number | Optional | Guidance Scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you. · Min: 0 · Max: 20 · Default: 2.5 |
num_inference_steps | integer | Optional | The number of inference steps to perform. · Min: 4 · Max: 50 · Default: 28 |
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-2/dev/edit",
"images": [
"https://static.sandbase.ai/examples/bfl/flux-2/dev/edit/input_images_0.png"
],
"prompt": "Change his clothes to casual suit and tie",
"output_format": "png",
"guidance_scale": 2.5,
"num_inference_steps": 28
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
Flux 2 Dev Edit
Flux 2 Dev Edit is the editable FLUX.2 Dev workflow for source-led visual transformation and experimentation. It combines FLUX.2’s contextual image understanding with an adaptable development-oriented model, enabling changes to objects, backgrounds, styles, text, and scene structure while the reference image remains the basis for identity and composition.
Use this route for prototyping custom editing pipelines, research, and controlled creative revision where the Dev model’s flexibility is valuable. Name the source elements that must remain recognizable, describe the exact semantic or appearance change, and specify how new content should match existing perspective, lighting, texture, typography, and visual hierarchy.
Highlights
- Context-aware source editing. Understands the reference scene before applying the requested semantic or appearance change.
- Multi-element reconstruction. Revises objects, setting, style, text, and composition while maintaining scene coherence.
- Preservation-aware generation. Keeps unrequested identity, structure, and visual details connected to the source.
- Development-oriented adaptability. Supports experimentation and customized workflows around FLUX.2’s editable model behavior.
Pricing
| Configuration | Billing unit | Price |
|---|---|---|
| Base generation | Per request | $0.0012 |
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",
"seed": 1,
"images": [
"https://example.com/reference.jpg"
],
"aspect_ratio": "21:9"
}
Technical Specs
| Spec | Value |
|---|---|
| Model ID | bfl/flux-2/dev/edit |
| Input fields | seed (integer)<br>images (array)<br>prompt (string)<br>aspect_ratio (string; 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16)<br>output_format (string; jpeg, png)<br>guidance_scale (number; 0–20)<br>num_inference_steps (integer; 4–50) |
| Required input | prompt |
| Output fields | url, content_type |
| Execution | Asynchronous job |
Related Models
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