bfl/flux-1/dev/edit
Flux 1 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
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-1/dev/editInput 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 | The CFG (Classifier Free 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: 1 · Max: 20 · Default: 3.5 |
num_inference_steps | integer | Optional | The number of inference steps to perform. · 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/dev/edit",
"image": "https://static.sandbase.ai/examples/bfl/flux-1/dev/edit/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": 3.5,
"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 Dev Edit
Flux 1 Dev Edit uses the development-oriented FLUX model for source-image revision, allowing object, background, style, color, and composition changes while retaining the reference as visual context. It brings editable behavior into experimental and customizable pipelines rather than limiting FLUX.1 Dev to prompt-only creation.
Use it for local editing prototypes, custom tools, research, and adapted revision workflows. Explain the desired final state, identify what must stay unchanged, and describe how new content should match perspective, material, light, texture, and subject identity across the edited image.
Highlights
- Development-grade image editing. Applies natural-language changes inside a customizable FLUX workflow.
- Source-context understanding. Uses the existing image to guide geometry, identity, and appearance.
- Preservation-aware reconstruction. Keeps unrequested regions connected to the original composition.
- Custom editing research. Supports experimentation with adaptation and source-led generation behavior.
Pricing
| Billing unit | Price |
|---|---|
| Per request | $0.025 |
When to Use
| ✅ Good fit | ❌ Consider alternatives |
|---|---|
| The model's named workflow matches the source material and intended output | A different input modality or model route is required |
| A managed asynchronous result is suitable for the production pipeline | A synchronous, interactive editor is essential |
| The documented controls cover the required duration, framing, or format | The project needs controls outside this endpoint's schema |
| Creative iteration benefits from a repeatable request structure | Exact deterministic pixels, frames, geometry, or samples are mandatory |
| A finished downloadable media asset is the desired deliverable | Editable source layers or a native project file are required |
Prompt Guide
For image-conditioned generation, state the intended result first, then add the subject or source treatment, progression, style, and delivery constraints. Keep one creative variable per phrase, use the documented field names for controls, and change one setting at a time when comparing results.
{
"image": "https://example.com/start-frame.png",
"output_format": "jpeg",
"prompt": "A cat dressed as a wizard with a background of a mystic forest."
}
Technical Specs
| Spec | Value |
|---|---|
| Model ID | bfl/flux-1/dev/edit |
| Inputs | guidance_scale, image, num_inference_steps, output_format, prompt, seed, strength |
| Required inputs | prompt, image |
| Output fields | content_type, url |
| Execution | Async (submit, then poll for result) |
| Output Format | jpeg / png |
Related Models
bfl/flux-1/dev— Compare this concrete local family route.bfl/flux-1/dev/image-to-image— Compare this concrete local family route.bfl/flux-1/dev/redux— Compare this concrete local family route.