bfl/flux-2/lora/edit
Flux 2 Lora Edit 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 each
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-2/lora/editInput Schema
8 parameters · 1 required · 7 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt | string | Required | The prompt to generate an image from. |
seed | integer | Optional | The seed to use for the generation. If not provided, a random seed will be used. |
loras | object[] | Optional | List of LoRA weights to apply (maximum 3). Each LoRA can be a URL, HuggingFace repo ID, or local path. · Default: [] |
images | string[] | Optional | The URsL of the images for editing. A maximum of 3 images are allowed, if more are provided, only the first 3 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/lora/edit",
"loras": [],
"images": [
"https://static.sandbase.ai/examples/bfl/flux-2/lora/edit/input_images_0.png"
],
"prompt": "Make this donut realistic",
"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
Flux 2 LoRA Edit changes and enhances existing photos from natural-language instructions. The model accepts image references and LoRA inputs, so a revision can combine supplied visual material with specialized learned direction.
Guidance ranges from 0 to 20 and inference steps from 4 to 50. Ten aspect ratios, JPEG or PNG export, and seed control support deliberate exploration followed by repeatable production variations.
Highlights
Photo editing in plain language. State the intended change in a prompt that remains readable and easy to revise.
Image and LoRA inputs. Combine supplied images with LoRA weights when the edit needs both reference material and specialized direction.
Broad tuning range. Adjust guidance from 0–20 and inference steps from 4–50 to shape the generation pass.
Repeatable delivery. Select one of ten aspect ratios, export JPEG or PNG, and reuse a seed for consistent variations.
Pricing
| Billing unit | Price |
|---|---|
| Per request | $0.042 |
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 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.
{
"aspect_ratio": "21:9",
"images": [
"https://example.com/reference-1.png",
"https://example.com/reference-2.png"
],
"output_format": "png",
"prompt": "Make this donut realistic"
}
Technical Specs
| Spec | Value |
|---|---|
| Model ID | bfl/flux-2/lora/edit |
| Inputs | aspect_ratio, guidance_scale, images, loras, num_inference_steps, output_format, prompt, seed |
| Required inputs | prompt |
| Output fields | content_type, url |
| Execution | Async (submit, then poll for result) |
| Aspect Ratio | 21:9 / 16:9 / 3:2 / 4:3 / 5:4 / 1:1 / 4:5 / 3:4 / 2:3 / 9:16 |
| Output Format | jpeg / png |
Related Models
bfl/flux-2/lora— Compare this concrete local family route.bfl/flux-2/dev— Compare this concrete local family route.bfl/flux-2/dev/edit— Compare this concrete local family route.