FLUX.1 Kontext - AI Image Models Tool

Overview

FLUX.1 Kontext is an in‑context image editing and multi-image fusion model developed by Black Forest Labs and surfaced on Replicate. It specializes in combining two input images into a single, coherent output guided by a text prompt (for example: "blend the left image's subject into the right image's environment and match lighting to golden hour"). The model family includes FLUX.1 Kontext [pro] and [max]; the Max variant emphasizes maximum performance and improved typography handling, while Pro targets consistent, high-quality prompt following. According to Replicate’s model pages and blog posts, Kontext is intended for text-guided edits, compositing, and style-aware transformations and is offered as part of a suite of Kontext-powered apps (portrait series, professional headshots, multi-image combine, text removal, restoration, etc.). Technically, the Multi‑Image Kontext endpoints accept two image inputs (jpeg, png, gif, webp), a prompt string, optional aspect_ratio and seed fields for reproducible outputs, and safety_tolerance controls; the API returns a single generated image (default PNG output). The Kontext tooling also appears in Flux’s web/creative-studio UI with advanced controls (processing strength, privacy settings, batch mode), and vendor pages advertise batch workflows capable of processing many images in parallel for large content volumes. For API usage and exact parameters, see the model pages and Replicate documentation referenced below.

Key Features

• Combine two input images into a single, context-aware composite using a text prompt.
• Fine-grained controls: aspect_ratio, seed, and safety_tolerance for reproducible, safer outputs.
• Default PNG outputs and support for jpeg/png/gif/webp inputs for broad compatibility.
• Batch and parallel processing advertised for high-volume workflows (vendor pages cite up to 50 images).
• Model variants (Pro, Max) for different quality/typography and performance trade-offs.

Example Usage

Example (python):

# Example: run the Multi-Image Kontext Max model on Replicate using the Python client
# Requires: pip install replicate
# Set your REPLICATE_API_TOKEN in the environment before running

import os
import replicate

# Model identifier visible on the Replicate model page
MODEL_ID = "flux-kontext-apps/multi-image-kontext-max"

replicate_client = replicate
# Example input: two public image URLs (replace with your own hosted images)
input_payload = {
    "prompt": "Combine the subject from image 1 into the scene of image 2, match lighting to sunset, keep natural skin tones",
    "input_image_1": "https://example.com/input1.jpg",
    "input_image_2": "https://example.com/input2.jpg",
    # optional controls supported by the model
    "aspect_ratio": "match_input_image",
    "seed": 42,
    "safety_tolerance": 2
}

# Run and wait for result
output = replicate.run(MODEL_ID, input=input_payload)

# replicate.run typically returns a list of file-like objects or URIs; save the first result
if output:
    # If output is a list of file objects
    try:
        with open("kontext_output.png", "wb") as f:
            f.write(output[0].read())
        print("Saved: kontext_output.png")
    except Exception:
        # If output is a list of URIs
        print("Model output:", output)

# See Replicate docs for alternate HTTP API usage and advanced deployment patterns.
# (Replicate docs: https://replicate.com/docs/get-started/python)

Benchmarks

Batch processing capacity: Advertised support for up to 50 images in a single batch operation (Source: https://www.fluxpro.ai/im-tools/flux-kontext-apps/multi-image-kontext-max)

Accepted input formats: jpeg, png, gif, webp (Source: https://replicate.com/flux-kontext-apps/multi-image-kontext-max/versions/8286af979163749316bc1a7d22526c336096d1e6776bd3ce03449cbdaa0e6dfd/api)

Default output format: png (Source: https://replicate.com/flux-kontext-apps/multi-image-kontext-max/versions/433c55029af55eb6ede9ea266cd559613f76ae1201cda5487b66afddf536f862/api)

Safety tolerance range: Integer 0–2 (default/maximum shown as 2) (Source: https://replicate.com/flux-kontext-apps/multi-image-kontext-max/versions/433c55029af55eb6ede9ea266cd559613f76ae1201cda5487b66afddf536f862/api)

Per-composition credit indicator (UI): Example composition shown as 15 credits in vendor UI (Source: https://flux-1.net/flux-kontext-apps/multi-image-kontext-max)

Key Information

• Category: Image Models
• Type: AI Image Models Tool