FLUX.1 [dev] Differential Diffusion

POST/v1/run

Flux Differential Diffusion is BFL's intelligent image editing model. Transform, retouch, and reimagine existing images using text prompts - from background replacement to artistic style conversion.

Request body

Submit an async generation request. The model field selects the model; other fields are model-specific input parameters.

stringmodelrequired

Model identifier. Set to bfl/flux-differential-diffusion.

Default: bfl/flux-differential-diffusion

stringpromptrequired

The prompt to generate an image from.

stringimagerequired

URL of image to use as initial image.

Optional<number>strength

The strength to use for image-to-image. 1.0 is completely remakes the image while 0.0 preserves the original.

Range: 0.01 to 1

Default: 0.85

Optional<string>change_map_image_url

URL of change map.

Optional<integer>seed

The same seed and the same prompt given to the same version of the model will output the same image every time.

Optional<integer>num_inference_steps

Number of denoising or inference steps to run when supported.

Range: 1 to 50

Default: 28

Optional<number>guidance_scale

Request parameter supported by this model.

Range: 0 to 20

Default: 3.5

Response Schema

The submit endpoint returns an accepted generation task. Poll the result endpoint with the returned id for terminal outputs or errors.

Optional<string>error

Error message if the task failed. Empty on success.

stringidrequired

Unique identifier for the generation task.

Optional<string>model

Model ID used for the prediction.

Optional<array>outputs

Array of generated content. Empty when status is not completed.

stringstatusrequired

Status of the task: pending, running, completed, failed, or timeout.

Allowed values: pending, running, completed, failed, timeout

Model capabilities

array<string>capability_tagsrequired

Capabilities declared by the model registry.

Default: image-to-image

stringexecution_moderequired

Execution mode declared by the model registry.

Default: async

# 1. Submit a generation request
curl -X POST https://api.sandbase.ai/v1/run \
  -H "Authorization: Bearer $SANDBASE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "bfl/flux-differential-diffusion",
  "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.",
  "image": "https://static.sandbase.ai/examples/bfl/flux-differential-diffusion/input_image_1.jpeg"
}'

# 2. If the response is still running, poll the returned id
curl https://api.sandbase.ai/v1/run/run_abc123 \
  -H "Authorization: Bearer $SANDBASE_API_KEY"

Response202 Accepted

{
  "id": "run_abc123",
  "model": "bfl/flux-differential-diffusion",
  "status": "running",
  "outputs": []
}