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 a run response. If its status is pending or running, poll GET /v1/run/{id} with the returned opaque ID until it reaches a terminal state.
Opaque SandBase run identifier. Use it exactly as returned; no prefix is guaranteed.
Current public run status.
Allowed values: pending, running, completed, failed, timeout
Public SandBase model name used for this run.
Present only for completed runs. Each object is capability-specific; inspect the selected model schema for its fields.
Present only for failed or timeout runs. Contains a public error type and sanitized message.
Stable public error category.
Sanitized error message safe to show to clients.
Usage details when available.
Model capabilities
Capabilities declared by the model registry.
Default: image-to-image
Execution mode declared by the model registry.
Default: async