API reference · BFL

bfl/flux-differential-diffusion

Integrate this model through SandBase's unified API, with production-ready schemas and examples.

IMAGEAsyncOpen model
Production endpoint

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OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/run
Model IDbfl/flux-differential-diffusion
01

Input Schema

7 parameters · 2 required · 5 optional

ParameterTypeRequiredDescription
imagestringRequiredURL of image to use as initial image.
promptstringRequiredThe prompt to generate an image from.
seedintegerOptional The same seed and the same prompt given to the same version of the model will output the same image every time.
strengthnumberOptionalThe strength to use for image-to-image. 1.0 is completely remakes the image while 0.0 preserves the original. · Min: 0.01 · Max: 1 · Default: 0.85
guidance_scalenumberOptionalMin: 0 · Max: 20 · Default: 3.5
num_inference_stepsintegerOptionalMin: 1 · Max: 50 · Default: 28
change_map_image_urlstringOptionalURL of change map.
02

Output Schema

FieldTypeDescription
idstringUnique identifier for the generation task
statusstringTask status: pending, running, completed, failed, timeout
modelstringModel used for the generation
outputsarrayArray of output items
outputs[].urlstringURL of the generated artifact
outputs[].content_typestringMIME type (e.g. image/png, video/mp4)
errorobject | nullError details if failed, null on success
error.typestringMachine-readable error type code
error.messagestringHuman-readable error description

Async Workflow

This model uses asynchronous execution. Submit a request and poll for the result.

  1. Submit — POST to /v1/run, receive an id
  2. Poll — GET /v1/run/{id} until status is completed, failed, or timeout
  3. Retrieve — Read outputs from the completed response
03

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-differential-diffusion",
  "image": "https://static.sandbase.ai/examples/bfl/flux-differential-diffusion/input_image_1.jpeg",
  "prompt": "Tree of life under the sea, ethereal, glittering, lens flares, cinematic lighting, artwork by Anna Dittmann & Carne Griffiths, 8k, unreal engine 5, hightly detailed, intricate detailed.",
  "strength": 0.85,
  "guidance_scale": 3.5,
  "num_inference_steps": 28,
  "change_map_image_url": "https://static.sandbase.ai/examples/bfl/flux-differential-diffusion/input_change_map_image_url_0.jpeg"
}'

# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
  -H "Authorization: Bearer YOUR_API_KEY"