Flux Vision Upscaler

bfl/flux-vision-upscaler

Flux 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.

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Base price: $0.10USD / run
Execution: async
Model type: image
Input fields: 6

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Playground

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Input

Image Url(string)

Upload

PNG, JPEG, WebP, or GIF · 20 MiB maximum

The URL of the image to upscale.

This field is required.

Upscale Factor(number)

The upscale factor (1-4x). Range: 1 to 4.

Steps(integer)

450

Number of inference steps (4-50). Range: 4 to 50.

Creativity(number)

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.

Guidance(number)

CFG/guidance scale (1-4). Controls how closely the model follows the prompt. Range: 1 to 4.

Seed(integer)

The seed to use for the upscale. If not provided, a random seed will be used.

OutputReady

Your output will appear here

Complete the inputs, then click Run.

Model card

Specifications

Pricing

Base price: $0.10 / run

Context & modalities

Input: Schema-defined
Output: image

Capabilities

Chat: Not supported
Vision: Not supported
Reasoning: Not supported
Structured output: Not supported
Function calling: Not supported
Audio input: Not supported

Access

Provider: BFL
Model ID: bfl/flux-vision-upscaler
Execution: async
Base URL: https://api.sandbase.ai
API: Unified Run API
Endpoint: /v1/run

API README

Flux Vision Upscaler

Flux Vision Upscaler is a media enhancement workflow in the FLUX family. Flux 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. It is designed to translate deliberate creative direction and supplied reference material into a coherent production asset, with attention to subject identity, composition, visual detail, and the specific transformation implied by this exact route.

Use this route when the project needs content-aware enlargement and restoration. Describe the intended result, what must remain recognizable, and the required composition, lighting, materials, atmosphere, and finish; keep technical delivery choices in the schema fields below.

Highlights

Resolution enhancement. Enlarges source imagery while reconstructing useful visual detail.
Texture recovery. Improves fine surfaces, edges, and perceived sharpness in small or soft inputs.
Content-aware restoration. Uses scene understanding to rebuild detail that ordinary interpolation cannot recover.
Production enlargement. Prepares reference imagery for larger placements while retaining recognizable composition and subject identity.

Pricing

Configuration	Billing unit	Price
Base generation	Per request	$0.1

When to Use

✅ Good fit	❌ Consider alternatives
The project needs this exact FLUX capability	The intended task belongs to a different media workflow
Required source and control media are available	Necessary assets or usage rights are unavailable
Creative direction can state change and preservation goals	Output must be deterministic at pixel or frame level
Supported dimensions and formats match final delivery	Placement requires unsupported specifications
An asynchronous generated result fits production	A live frame-synchronous response is mandatory

Prompt Guide

Lead with the main subject and action, then specify composition, context, lighting, materials, style, typography, and atmosphere. For editing, identify each source and clearly separate the requested transformation from the subjects, regions, geometry, or identity that must remain unchanged.

{
  "image": "https://example.com/reference.png",
  "seed": 1,
  "steps": 20,
  "guidance": 1
}

Technical Specs

Spec	Value
Model ID	`bfl/flux-vision-upscaler`
Input fields	`seed` (integer)<br>`image` (string)<br>`steps` (integer; 4–50)<br>`guidance` (number; 1–4)<br>`creativity` (number; 0–1)<br>`upscale_factor` (number; 1–4)
Required input	`image`
Output fields	`url`, `content_type`
Execution	Asynchronous job

Related Models

topaz/upscale/image
topaz/upscale/video
bfl/flux-video-upscale

Start building

Send your first request

OpenAI-compatible endpoint with unified authentication and usage tracking.

Production API

Unified Run API endpoint

https://api.sandbase.ai/v1/run

Model ID

bfl/flux-vision-upscaler

# The quoted heredoc keeps Unicode and shell metacharacters unchanged.
result=$(curl --fail-with-body --silent \
  -X POST "https://api.sandbase.ai/v1/run" \
  -H "Authorization: Bearer $SANDBASE_API_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'SANDBASE_JSON'
{
  "model": "bfl/flux-vision-upscaler",
  "image": "https://static.sandbase.ai/examples/bfl/flux-vision-upscaler/input_image_0.jpg",
  "steps": 20,
  "guidance": 1,
  "creativity": 0.3,
  "upscale_factor": 2
}
SANDBASE_JSON
)
run_id=$(printf '%s' "$result" | jq -r .id)
for attempt in $(seq 1 120); do
  status=$(printf '%s' "$result" | jq -r .status)
  case "$status" in completed|failed|timeout) break ;; esac
  sleep 2
  result=$(curl --fail-with-body --silent \
    -H "Authorization: Bearer $SANDBASE_API_KEY" \
    "https://api.sandbase.ai/v1/run/$run_id")
done
status=$(printf '%s' "$result" | jq -r .status)
[ "$status" = completed ] || { echo "Generation ended: $status" >&2; exit 1; }
printf '%s\n' "$result"

Choose your model

Compare models

All image & video models

Model	Type	Default price	Released
Flux Vision UpscalerThis model `BFL`	Image	$0.10 / run	Nov 2, 2025
Flux 3 Text to Image `BFL`	Image	$0.05 / run	Oct 1, 2026
Flux 3 Edit `BFL`	Image	$0.05 / run	Oct 1, 2026
Flux 2 Klein 4B Edit `BFL`	Image	$0.02 / run	Jan 15, 2026
Flux 2 Klein 9B Edit `BFL`	Image	$0.02 / run	Jan 15, 2026
Flux 2 Klein 9B Text to Image `BFL`	Image	$0.01 / run	Jan 15, 2026

Questions

FAQ

How do I call BFL Flux Vision Upscaler through SandBase?

Create a SandBase API key, then send requests with the model ID "bfl/flux-vision-upscaler" to Unified Run API (/v1/run) at https://api.sandbase.ai. The request examples on this page show the exact payload.

Do I need a separate BFL account?

No. One SandBase API key and balance gives you access to BFL Flux Vision Upscaler and the other models in the catalog; you do not need to sign up with BFL separately.