Flux Kontext Pro Multi | Fast Image Editing API

FLUX Kontext Pro Multi — wavespeed-ai/flux-kontext-pro/multi

FLUX Kontext Pro Multi is a fast, reliable multi-image model for context-guided generation and editing. Provide a text prompt plus up to 5 reference images, and the model uses them to improve identity consistency, style alignment, and scene coherence—ideal for practical production workflows that need strong control at a lower cost.

Key capabilities

Multi-image contextual generation with up to 5 reference images
Strong identity and style consistency by grounding outputs in references
Reliable composition control for everyday creative and marketing use
Efficient for iterative workflows and rapid A/B exploration

Typical use cases

Character consistency using multiple portraits, outfits, or angles
Product and branding consistency (packaging + logo + lighting references)
Style steering with multiple exemplars (art style + texture + mood)
Scene creation guided by reference frames
Marketing creatives that need predictable, repeatable visual direction

Pricing

$0.04 per image.

Total cost = num_images × $0.04 Example: num_images = 4 → $0.16

Inputs and outputs

Input:

prompt (required): Instruction describing what to generate and how to use the references
images (required): Up to 5 reference images (upload or public URLs)

Output:

One or more generated images (based on your num_images setting, if available in your interface)

Parameters

prompt (required): The instruction for generation or editing
images (required): Up to 5 reference images
seed: Fixed value for reproducibility; leave empty/random for variation
guidance_scale: Prompt adherence strength (higher = stricter; too high may over-constrain)
aspect_ratio: Output aspect ratio (e.g., 16:9, 1:1, 9:16)

Prompting guide (multi-reference)

Assign roles to references to reduce ambiguity:

Template: Use image 1 for identity. Use image 2 for outfit/material. Use image 3 for style. Use image 4 for lighting. Use image 5 for background/scene. Generate the shot described below. Keep the key traits unchanged.

Example prompts

Use image 1 for the person’s identity and image 2 for outfit details. Use image 3 for visual style. Create a 16:9 cinematic medium shot in a rainy city street at night. Match lighting and reflections. Keep face structure and expression consistent.
Use image 1 for the product shape and image 2 for label layout. Use image 3 for lighting mood. Generate a clean studio product shot with realistic shadows and crisp edges. Keep branding placement consistent.
Use images 1–2 as identity references from different angles. Create a neutral-background portrait with softbox lighting and natural skin texture. Keep proportions realistic and avoid exaggerated stylization.

Best practices

Use high-quality references (sharp, well-lit, minimal occlusion)
Avoid conflicting references unless you explicitly state which reference dominates (identity vs. style vs. scene)
Keep guidance_scale moderate and let references do most of the steering
Fix seed when you need stable iteration and consistent comparisons
Choose aspect_ratio intentionally to avoid awkward cropping or stretched composition

Flux Kontext Pro Multi API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-kontext-pro/multi with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Flux Kontext Pro Multi below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-kontext-pro/multi" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "seed": 0,
    "guidance_scale": 3.5,
    "aspect_ratio": "21:9",
    "enable_sync_mode": false
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].

Node.js example

// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("wavespeed-ai/flux-kontext-pro/multi", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "seed": 0,
        "guidance_scale": 3.5,
        "aspect_ratio": "21:9",
        "enable_sync_mode": false
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "wavespeed-ai/flux-kontext-pro/multi",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "seed": 0,
    "guidance_scale": 3.5,
    "aspect_ratio": "21:9",
    "enable_sync_mode": false
}
)

print(output["outputs"][0])  # → URL of the generated output

Flux Kontext Pro Multi API — Frequently asked questions

What is the Flux Kontext Pro Multi API?

Flux Kontext Pro Multi is a WaveSpeedAI model for image editing, exposed as a REST API on WaveSpeedAI. Experimental FLUX.1 Kontext [pro] with multi-image handling to combine context from multiple images for richer output. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Flux Kontext Pro Multi API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/flux-kontext-pro-multi.

How much does Flux Kontext Pro Multi cost per run?

Flux Kontext Pro Multi starts at $0.040 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Flux Kontext Pro Multi accept?

Key inputs: `prompt`, `images`, `aspect_ratio`, `seed`, `guidance_scale`, `enable_sync_mode`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/flux-kontext-pro-multi.

How long does Flux Kontext Pro Multi take to generate?

Average end-to-end generation time on WaveSpeedAI is around 17 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Flux Kontext Pro Multi outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

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