Flux 2 Lora Gallery
/v1/runFlux 2 Lora Gallery Face To Full Portrait 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.
Model identifier. Set to bfl/flux-2-lora-gallery/face-to-full-portrait.
Default: bfl/flux-2-lora-gallery/face-to-full-portrait
The prompt describing the full portrait to generate from the face.
Default: Face to full portrait
The URL of the cropped face image.
The CFG (Classifier Free Guidance) scale. Controls how closely the model follows the prompt.
Range: 0 to 20
Default: 2.5
The number of inference steps to perform.
Range: 4 to 50
Default: 40
The format of the output image
Allowed values: png, jpeg
Default: png
The strength of the face to full portrait effect.
Range: 0 to 2
Default: 1
The aspect ratio of the generated image.
Allowed values: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16
Random seed for reproducibility. Same seed with same prompt will produce same result.
Response Schema
The submit endpoint returns an accepted generation task. Poll the result endpoint with the returned id for terminal outputs or errors.
Error message if the task failed. Empty on success.
Unique identifier for the generation task.
Model ID used for the prediction.
Array of generated content. Empty when status is not completed.
Status of the task: pending, running, completed, failed, or timeout.
Allowed values: pending, running, completed, failed, timeout
Model capabilities
Capabilities declared by the model registry.
Default: image-to-image
Execution mode declared by the model registry.
Default: async

