FLUX Kontext max - Multi-Image List - AI Image Tools Tool

Overview

FLUX Kontext max - Multi-Image List is a premium image-editing model from Black Forest Labs, hosted on Replicate. The model is built to accept a list of input images and merge them into a single, enhanced composite under text guidance. Typical use cases include creative compositing, hybrid scene generation from multiple source photos, and improving or stylizing embedded typography across images. According to the model page on Replicate (https://replicate.com/flux-kontext-apps/multi-image-list), the tool focuses on combining multiple sources while preserving important details from each input image. The model is positioned for visual artists, designers, and developers who need a flexible, programmatic way to produce multi-source composites without manual layer-based editing. It emphasizes creative output (scene blending, unified lighting and color grading) and practical tasks (typography refinement across merged assets). Public-facing pages list the model and its example inputs and outputs on Replicate; users should consult that page for the model’s latest input schema, example prompts, and runtime options. Pricing and formal benchmark results are not published on the Replicate listing and therefore are not available here.

Key Features

• Accepts a list of input images to merge into one composite output
• Text-guided generation to control style, composition, and mood
• Designed for creative compositing across varied source photos
• Enhanced typography generation and refinement across merged images
• Available as a hosted model on Replicate for programmatic access

Example Usage

Example (python):

import replicate

# Example: run the FLUX Kontext max Multi-Image List model on Replicate
# Replace with your REPICATE_API_TOKEN in your environment
# NOTE: check the model page for the exact input parameter names and accepted values

client = replicate.Client()
model = client.models.get("flux-kontext-apps/multi-image-list")
# Get the first available version (or specify a version ID shown on the Replicate page)
version = model.versions.list()[0]

# Provide a list of image URLs and a text prompt describing the desired composite
inputs = {
    "images": [
        "https://example.com/photo1.jpg",
        "https://example.com/photo2.jpg",
        "https://example.com/photo3.jpg",
    ],
    "prompt": "Cinematic collage combining the three photos into a single dusk cityscape, unified color grading, readable modern typography integrated"
}

# Run the model; output format depends on the model (URL or image bytes)
output = version.predict(**inputs)
print(output)

Key Information

• Category: Image Tools
• Type: AI Image Tools Tool