Flux Vision Upscaler
/v1/runFlux Vision Upscaler by BFL - AI-powered image editing, style transfer, and transformation. Edit photos with natural language instructions, remove backgrounds, change styles, and enhance images effortlessly.
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-vision-upscaler.
Default: bfl/flux-vision-upscaler
The URL of the image to upscale.
The upscale factor (1-4x).
Range: 1 to 4
Default: 2
Number of inference steps (4-50).
Range: 4 to 50
Default: 20
The creativity of the model. The higher the creativity, the more the model will deviate from the original. Refers to the denoise strength of the sampling.
Range: 0 to 1
Default: 0.3
CFG/guidance scale (1-4). Controls how closely the model follows the prompt.
Range: 1 to 4
Default: 1
The seed to use for the upscale. If not provided, a random seed will be used.
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

