FLUX.1 Kontext - AI Image Models Tool

Overview

FLUX.1 Kontext is a multimodal, text-driven image editing model family from Black Forest Labs that unifies in-context image generation and targeted editing. Kontext accepts both text prompts and reference images, enabling local edits (inpainting, object or text replacement), style transfer, background swaps, and iterative multi-turn refinements while preserving character identity and visual consistency. According to Black Forest Labs, the architecture is based on generative flow-matching and was designed specifically for low-latency, high-fidelity edits that preserve spatial context and typography. (See Black Forest Labs announcement and technical summary.) Kontext is published in multiple variants to balance cost, speed, and fidelity: a Pro tier for fast iterative editing, a Max tier for highest-quality outputs and improved typography handling, and an upcoming Dev/open-weight variant intended for research and customization. The model has been integrated into developer platforms (including Replicate) and attracted strong early community traction for text-guided editing workflows. Black Forest Labs and Replicate documentation and blog posts highlight Kontext’s strengths in text editing and character preservation, as well as measured inference-speed improvements over prior image-editing models. The company also documents known failure modes (visual artifacts after many iterative edits and occasional instruction-following errors), which is useful when planning multi-turn pipelines.

Key Features

• Text-guided local editing (inpainting and object replacement) with preservation of surrounding context.
• Text replacement and typography-aware edits that preserve perspective and layout.
• Style transfer that applies a reference style while keeping subject identity consistent.
• Multi-turn iterative editing that maintains character consistency across successive edits.
• Available variants: Dev (open-weight, research), Pro (fast iterative), Max (highest fidelity and typography).

Example Usage

Example (python):

import replicate

# Example: run FLUX.1 Kontext Pro on Replicate
# Install: pip install replicate
# Export your REPLICATE_API_TOKEN in env as REPLICATE_API_TOKEN

model_id = "black-forest-labs/flux-kontext-pro"
image_path = "input.jpg"  # local file to edit
prompt = "Change the background to a rainy city street, keep the person and change their jacket to red"

with open(image_path, "rb") as img:
    output = replicate.run(
        model_id,
        input={
            "prompt": prompt,
            "image": img
        }
    )

# replicate.run returns a list of FileOutput objects (or URLs). Save the first result:
if output:
    with open("edited_output.png", "wb") as f:
        f.write(output[0].read())
    print("Saved edited_output.png")
else:
    print("No output returned; check logs or model input schema on Replicate.")

# Notes:
# - Model input names and optional control parameters vary by version; consult the model page on Replicate for exact fields.
# - Replace model_id with flux-kontext-max for higher-quality/typography-focused outputs.

Pricing

Black Forest Labs uses a credit-based pricing model (1 credit = $0.01 USD). As published in their docs, FLUX.1 Kontext pricing examples: Kontext [pro] = 4 credits per image (~$0.04/image); Kontext [max] = 8 credits per image (~$0.08/image). Playground and API use the same credit rates; batch requests multiply per-image cost. (Source: Black Forest Labs docs.)

Benchmarks

Reported relative inference speed: Up to 8× faster than competing state-of-the-art image-editing models (company benchmark) (Source: https://bfl.ai/blog/flux-1-kontext)

Latency at 1 MP resolution: Reported ~3–5 seconds per edit at 1MP (interactive playground/API) (Source: https://via.tt.se/pressmeddelande/3937142/black-forest-labs-launches-flux1-kontext-a-breakthrough-in-context-aware-image-generation-and-editing?publisherId=259167)

Community usage on Replicate: 9.5M+ runs for the Max model page (public host metric) (Source: https://replicate.com/black-forest-labs/flux-kontext-max)

KontextBench claims (task strengths): Top scores reported in text editing and character preservation (KontextBench internal evaluation) (Source: https://bfl.ai/blog/flux-1-kontext)

Key Information

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