bfl/flux-control-lora-canny/image-to-image
Flux Control Lora Canny 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
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-control-lora-canny/image-to-imageInput Schema
11 parameters · 2 required · 9 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
image | string | Required | URL of image to use for inpainting. or img2img |
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. |
loras | array | Optional | Default: [] |
strength | number | Optional | The strength to use for inpainting/image-to-image. Only used if the image_url is provided. 1.0 is completely remakes the image while 0.0 preserves the original. · Min: 0.01 · Max: 1 · Default: 0.85 |
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: "jpeg" jpegpng |
guidance_scale | number | Optional | Min: 0 · Max: 35 · Default: 3.5 |
num_inference_steps | integer | Optional | Min: 1 · Max: 50 · Default: 28 |
control_lora_strength | number | Optional | The strength of the control lora. · Min: 0 · Max: 2 · Default: 1 |
control_lora_image_url | string | Optional | The image to use for control lora. This is used to control the style of the generated image. |
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-control-lora-canny/image-to-image",
"image": "https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo.png",
"loras": [],
"prompt": "A photo of a lion sitting on a stone bench",
"strength": 0.85,
"output_format": "jpeg",
"guidance_scale": 3.5,
"num_inference_steps": 28,
"control_lora_strength": 1,
"control_lora_image_url": "https://static.sandbase.ai/examples/bfl/flux-control-lora-canny/image-to-image/input_control_lora_image_url_1.jpg"
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
Flux Control Lora Canny Image To Image
Flux Control Lora Canny Image To Image belongs at the source revision governed by both contours and adaptation stage of a visual workflow. Rather than treating the model as an isolated demonstration, teams can place it inside briefing, review, selection, and handoff practices where a reference image and its line structure provide a disciplined base for exploring a learned visual treatment. This positioning clarifies why the model earns a place in a real creative pipeline and what kind of decision it helps people make.
A practical use of Flux Control Lora Canny Image To Image is restyling an existing composition, preserving designed silhouettes, and producing campaign variants that must respect established outlines. Begin by agreeing on the creative objective and review criteria, prepare only the source material needed for that objective, and compare results against audience, brand, editorial, and production needs. Technical request choices remain documented below so the prose can stay focused on planning and creative value.
Highlights
Contour-locked composition. Preserves important outlines and layout while regenerating color, texture, and appearance.
Shape-faithful restyling. Changes visual treatment without losing the source edge map's silhouettes and object boundaries.
Prompt-and-edge fusion. Reconciles written art direction with structural line guidance in one still image.
Fine boundary control. Retains small architectural, product, and character contours that free generation may drift away from. The image-to-image Control-LoRA variant uses both a visual reference and contour guidance, preserving layout while resynthesizing appearance.
Pricing
| Configuration | Billing unit | Price |
|---|---|---|
| Base generation | Per request | $0.04 |
When to Use
| ✅ Good fit | ❌ Consider alternatives |
|---|---|
| The project needs this exact FLUX capability | The intended task belongs to a different media workflow |
| Required source and control media are available | Necessary assets or usage rights are unavailable |
| Creative direction can state change and preservation goals | Output must be deterministic at pixel or frame level |
| Supported dimensions and formats match final delivery | Placement requires unsupported specifications |
| An asynchronous generated result fits production | A live frame-synchronous response is mandatory |
Prompt Guide
Lead with the main subject and action, then specify composition, context, lighting, materials, style, typography, and atmosphere. For editing, identify each source and clearly separate the requested transformation from the subjects, regions, geometry, or identity that must remain unchanged.
{
"image": "https://example.com/start-frame.png",
"loras": [],
"prompt": "A cinematic, precisely composed result with a clear subject, controlled camera or viewpoint, realistic lighting, exact materials, and intentional atmosphere",
"seed": 1,
"strength": 0.85
}
Technical Specs
| Spec | Value |
|---|---|
| Model ID | bfl/flux-control-lora-canny/image-to-image |
| Input fields | seed (integer)<br>image (string)<br>loras (array)<br>prompt (string)<br>strength (number; 0.01–1)<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; 0–35)<br>num_inference_steps (integer; 1–50)<br>control_lora_strength (number; 0–2)<br>control_lora_image_url (string) |
| Required input | prompt, image |
| Output fields | url, content_type |
| Execution | Asynchronous job |
Related Models
bfl/flux-control-lora-canny— Compare this concrete local family route.bfl/flux-1.1/pro— Compare this concrete local family route.bfl/flux-1.1/pro-ultra— Compare this concrete local family route.