FLUX.2 [max]

Name: FLUX.2 [max]
Brand: Black Forest Labs
Price: 0.03 USD
Availability: InStock

AI Image Editing Model

Mode:

Image Featured #9 Image-to-Image

Black Forest Labs' flagship image generation model delivering state-of-the-art quality with exceptional realism, precision, and consistency for both text-to-image and advanced image editing

FLUX.2 [max] generated image of A hyper-realistic close-up of a weathered leather traveler’s journal laying o...

FLUX.2 [max] generated image of A hyper-realistic, high-angle shot of a minimalist wooden workbench. In the c...

Try Model Benchmark examples

2048 x 2048

Max Resolution

Supported Modes

Text to Image Image Edit

Active

Details

Model ID

flux.2-max

Also known as: flux-2-max

Creator

Black Forest Labs

Family

flux.2

Released

December 2025

Max Input Images

Ready to integrate?

Access flux.2-max via our unified API.

Create Account

Available at 2 providers

Starting from

$0.030 /image via Replicate

Prices shown are in USD · Some prices estimated from per-megapixel or per-token pricing

See all providers

Provider Performance

Fastest generation through replicate at 25,963ms median latency with 95.4% success rate.

Aggregated from real API requests over the last 30 days.

Generation Time

replicate

p95: 46,670ms

fal

p95: 53,232ms

Success Rate

replicate

95.4%

62 / 65 requests

fal

96.8%

90 / 93 requests

Time to First Byte

replicate

25,182ms

p95: 45,486ms

fal

29,083ms

p95: 54,612ms

Provider Rankings

#	Provider	p50 Gen Time	p95 Gen Time	Success Rate	TTFB (p50)
1	replicate	25,963ms	46,670ms	95.4%	25,182ms
2	fal	29,217ms	53,232ms	96.8%	29,083ms

Data updated every 15 minutes. Based on all API requests through Lumenfall over the last 30 days.

Providers & Pricing (2)

FLUX.2 [max] is available from 2 providers, with per-image pricing starting at $0.03 through fal.ai.

fal.ai

Image Edit

fal/flux.2-max-edit

Provider Model ID: fal-ai/flux-2-max/edit

Input

Megapixel

$0.030

Output

Megapixel

—

Pricing Notes (4)

• Resolution is rounded up to the next megapixel, separately for each reference image and the generated image
• 1 megapixel = 1024x1024 pixels
• Each reference image is counted separately (minimum 1 MP each)
• Images exceeding 4 megapixels are resized to 4 megapixels

View official pricing • As of Dec 28, 2025

Replicate

Text to Image Image Edit

replicate/flux.2-max

Provider Model ID: black-forest-labs/flux-2-max

Input

Megapixel

$0.030

Output

Request

$0.040

Megapixel

$0.030

Pricing Notes (4)

• Resolution is rounded up to the next megapixel, separately for each reference image and the generated image
• 1 megapixel = 1024x1024 pixels
• Each reference image is counted separately (minimum 1 MP each)
• Images exceeding 4 megapixels are resized to 4 megapixels

View official pricing • As of Jan 02, 2026

flux-2-max API OpenAI-compatible

Integrate FLUX.2 [max] into your applications using Lumenfall’s OpenAI-compatible API to generate high-fidelity images and perform advanced image editing.

Base URL

https://api.lumenfall.ai/openai/v1

Model

flux.2-max

Code Examples

Image Edit

/v1/images/edits

curl -X POST \

  https://api.lumenfall.ai/openai/v1/images/edits \

  -H "Authorization: Bearer $LUMENFALL_API_KEY" \

  -F "model=flux.2-max" \

  -F "[email protected]" \

  -F "prompt=Add a starry night sky to this image" \

  -F "size=1024x1024"

# Response:

# { "created": 1234567890, "data": [{ "url": "https://...", "revised_prompt": "..." }] }

import OpenAI from 'openai';

import fs from 'fs';

const client = new OpenAI({

  apiKey: 'YOUR_API_KEY',

  baseURL: 'https://api.lumenfall.ai/openai/v1'

});

const response = await client.images.edit({

  model: 'flux.2-max',

  image: fs.createReadStream('source.png'),

  prompt: 'Add a starry night sky to this image',

  size: '1024x1024'

});

// { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }

console.log(response.data[0].url);

from openai import OpenAI

client = OpenAI(

    api_key="YOUR_API_KEY",

    base_url="https://api.lumenfall.ai/openai/v1"

response = client.images.edit(

    model="flux.2-max",

    image=open("source.png", "rb"),

    prompt="Add a starry night sky to this image",

    size="1024x1024"

# { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }

print(response.data[0].url)

Parameter Reference

Required Supported Not available

Core Parameters

Parameter	Type	Description	Modes
`prompt`	string	Required. Text prompt for image generation	T2I Edit
`seed`	integer	Random seed for reproducibility	T2I Edit

Size & Layout

Parameter	Type	Description	Modes
`size`	string	Image dimensions as WxH pixels (e.g. "1024x1024") or aspect ratio (e.g. "16:9") WxH determines both shape and scale (aspect_ratio and resolution are ignored when size is provided). W:H format is equivalent to aspect_ratio.	T2I Edit
`aspect_ratio`	string	Aspect ratio of the output image (e.g. "16:9", "1:1") Controls shape independently of scale. Use with resolution to control both. If size is also provided, size takes precedence. Any ratio is accepted and mapped to the nearest supported value.	T2I Edit
`resolution`	string	Output resolution tier (e.g. "1K", "4K") `auto` `1K` Controls scale independently of shape. Higher tiers produce larger images and cost more. If size is also provided, size takes precedence for scale. Any tier is accepted and mapped to the nearest supported value.	T2I Edit

Output	`size`		`aspect_ratio` + `resolution`
Flexible
Auto	`"auto"`	—	Model chooses optimal dimensions
Custom 1–14142px per side	`"WxH"`	—	Any pixel dimensions within model constraints

1K 9 sizes

Output	`size`		`aspect_ratio` + `resolution`
1183 × 887	`"1183x887"`	or	`"4:3"` + `"1K"`
916 × 1145	`"916x1145"`	or	`"4:5"` + `"1K"`
1145 × 916	`"1145x916"`	or	`"5:4"` + `"1K"`
1024 × 1024	`"1024x1024"`	or	`"1:1"` + `"1K"`
887 × 1182	`"887x1182"`	or	`"3:4"` + `"1K"`
836 × 1254	`"836x1254"`	or	`"2:3"` + `"1K"`
1254 × 836	`"1254x836"`	or	`"3:2"` + `"1K"`
768 × 1365	`"768x1365"`	or	`"9:16"` + `"1K"`
1365 × 768	`"1365x768"`	or	`"16:9"` + `"1K"`

How these parameters work

size

Exact pixel dimensions

"1920x1080"

aspect_ratio

Shape only, default scale

"16:9"

resolution

Scale tier, preserves shape

"1K"

Priority when combined

size › aspect_ratio + resolution › aspect_ratio › resolution

size is most specific and always wins. aspect_ratio and resolution control shape and scale independently.

How matching works

Shape matching – we pick the closest supported ratio. Ask for 7:1 on a model with 4:1 and 8:1, you get 8:1.

Scale matching – providers use different tier formats: K tiers (0.5K 1K 2K 4K) or megapixel tiers (0.25 1). If the exact tier isn't available, you get the nearest one.

Dimension clamping – if a model has pixel limits, we clamp dimensions to fit and keep the aspect ratio intact.

Media Inputs

Parameter	Type	Description	Modes
`image`	file	Required. Input image(s) to edit Supports PNG, JPEG, WebP. Up to 10 images per request.	T2I Edit

Output & Format

Parameter	Type	Description	Modes
`response_format`	string	How to return the image `url` `b64_json` Default: `"url"`	T2I Edit
`output_format`	string	Output image format `png` `jpeg` `gif` `webp` `avif` Gateway converts to requested format if provider doesn't support it natively.	T2I Edit
`output_compression`	integer	Compression level for lossy formats (JPEG, WebP, AVIF)	T2I Edit
`n`	integer	Number of images to generate Default: `1` Gateway generates multiple images in parallel even if provider only supports 1.	T2I Edit

Additional Parameters

Provider-specific passthrough fields, available only when the request is routed to the listed provider.

Parameter	Type	Description	Modes
Universal
`safety_tolerance`	integer	Safety tolerance, 1 is most strict and 5 is most permissive `1` `2` `3` `4` `5`	T2I Edit
fal
`enable_safety_checker`	boolean	Whether to enable the safety checker.	T2I Edit
`sync_mode`	boolean	If `True`, the media will be returned as a data URI and the output data won't be available in the request history.	T2I Edit
replicate
`height`	integer	Height of the generated image. Only used when aspect_ratio=custom. Must be a multiple of 16 (if it's not, it will be rounded to nearest multiple of 16).	T2I Edit
`output_quality`	integer	Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs	T2I Edit
`width`	integer	Width of the generated image. Only used when aspect_ratio=custom. Must be a multiple of 16 (if it's not, it will be rounded to nearest multiple of 16).	T2I Edit

Parameter Normalization

How we handle parameters across different providers

Not every provider speaks the same language. When you send a parameter, we handle it in one of four ways depending on what the model supports:

Behavior	What happens	Example
`passthrough`	Sent as-is to the provider	style, quality
`renamed`	Same value, mapped to the field name the provider expects	prompt
`converted`	Transformed to the provider's native format	size
`emulated`	Works even if the provider has no concept of it	n, response_format

Parameters we don't recognize pass straight through to the upstream API, so provider-specific options still work.

Full API Reference Authentication, endpoints, and more

FLUX.2 [max] Benchmarks

FLUX.2 [max] maintains a competitive standing in visual synthesis, securing Rank #6 in Text-to-Image generation with an Elo score of 1265. The model also ranks #12 for complex image editing tasks with an Elo of 1195.

Lumenfall Arena

#11

Text-to-Image

1257 Elo

Lumenfall Arena

Image Editing

1210 Elo

Image Editing Landscape

Elo vs Cost

1 model without pricing omitted.

Competition Results

Image Editing

Photorealism

View leaderboard

Man and Car in California

13 models

Image Editing

Source

Edit instruction

“Make a photo of the man driving the car down the California coastline”

FLUX.2 [max] edited result for Bald man challenge

Original image before FLUX.2 [max] editing

Before After

Bald man challenge

15 models

Image Editing

Edit instruction

“Give the person a full, thick head of natural hair with realistic texture, density, and a natural hairline. Preserve facial features and lighting.”

FLUX.2 [max] edited result for Golden Hour Stroll

Before After

Golden Hour Stroll

13 models

Image Editing

Edit instruction

“Add dynamic motion to this photo: make hair blow in the wind, add leaves flying, energetic and lively feel.”

FLUX.2 [max] edited result for Night Sky Transformation

Before After

Night Sky Transformation

16 models

Image Editing

Edit instruction

“Change the scene to night: a deep, dark sky with subtle, glistening stars visible behind the mountain.”

3 attempts – showing best result

FLUX.2 [max] edited result for Neutral Expression to Genuine Smile

Before After

#11

Neutral Expression to Genuine Smile

14 models

Image Editing

Edit instruction

{
  "action": "image_edit",
  "reference": "uploaded neutral portrait",
  "change": "Warm genuine Duchenne smile: lips curved up, slight natural teeth, soft eye crinkles, subtle cheek raise",
  "details": "Realistic smiling skin (dimples if present, soft cheek shadows), slightly brighter eyes; keep exact eye shape/color/iris",
  "preserve_exact": "Face identity/structure, eyes/nose/lips/eyebrows, hair, skin texture/pores/freckles, makeup, clothing, head pose, background, lighting, shadows, framing",
  "no_changes": "No face shape change, no new features, no gaze shift, no hair/clothing/lighting/background edits",
  "style": "Ultra-photorealistic 8K portrait, sharp face focus, natural soft lighting, realistic skin glow"
}

3 attempts – showing best result

Image Editing

Anime

View leaderboard

Studio Ghibli Anime Style

14 models

Image Editing

Source

Edit instruction

“Transform this photo into a Studio Ghibli–inspired illustration. Use soft pastel colors, hand-painted textures, gentle lighting, dreamy backgrounds, and a warm, nostalgic mood”

Image Editing

Portrait

View leaderboard

Before After

Bald man challenge

15 models

Image Editing

Edit instruction

“Give the person a full, thick head of natural hair with realistic texture, density, and a natural hairline. Preserve facial features and lighting.”

Before After

#11

Neutral Expression to Genuine Smile

14 models

Image Editing

Edit instruction

{
  "action": "image_edit",
  "reference": "uploaded neutral portrait",
  "change": "Warm genuine Duchenne smile: lips curved up, slight natural teeth, soft eye crinkles, subtle cheek raise",
  "details": "Realistic smiling skin (dimples if present, soft cheek shadows), slightly brighter eyes; keep exact eye shape/color/iris",
  "preserve_exact": "Face identity/structure, eyes/nose/lips/eyebrows, hair, skin texture/pores/freckles, makeup, clothing, head pose, background, lighting, shadows, framing",
  "no_changes": "No face shape change, no new features, no gaze shift, no hair/clothing/lighting/background edits",
  "style": "Ultra-photorealistic 8K portrait, sharp face focus, natural soft lighting, realistic skin glow"
}

3 attempts – showing best result

Uncategorized

Over-the-top cartoon caricature

13 models

Image Editing

Source

Edit instruction

“Create a caricature of me and my job. Make it exaggerated and humorous, incorporating my profession as a tv show anchor and my love for dogs and hockey.”

FLUX.2 [max] edited result for Selective Object Swap

Before After

Selective Object Swap

12 models

Image Editing

Edit instruction

“Swap the positions of the blue and yellow blocks”

2 attempts – showing best result

Top Matchups

See how FLUX.2 [max] performs head-to-head against other AI models, ranked by community votes in blind comparisons.

Golden Hour Stroll

FLUX.2 [max] Wan 2.6

40% 40%

Bald man challenge

FLUX.2 [max] Nano Banana

0% 60%

Over-the-top cartoon caricature

FLUX.2 [max] Nano Banana 2

25% 50%

Man and Car in California

FLUX.2 [max] GPT Image 1.5

33% 67%

Modern Clean Menu

FLUX.2 [max] Grok Imagine Image

0% 100%

FLUX.2 [max] is best for

See all Use Cases

Black Forest Labs' flagship model excels in Photorealism and Portrait categories, ranking #3 in both with win rates of 81.0% and 38.3% respectively. Performance is comparatively lower in commercial and branding applications, where it holds Rank #17 out of 19 models.

#4 of 14

Anime

Edit · 55.9% win rate

#6 of 15

Portrait

Edit · 37.3% win rate

#9 of 21

Photorealism

Edit · 37.9% win rate

Gallery

View all 8 images

FLUX.2 [max] FAQ

How much does FLUX.2 [max] cost?

FLUX.2 [max] starts at $0.03 per image through Lumenfall. Pricing varies by provider. Lumenfall does not add any markup to provider pricing.

How do I use FLUX.2 [max] via API?

You can use FLUX.2 [max] through Lumenfall's OpenAI-compatible API. Send requests to the unified endpoint with model ID "flux.2-max". Code examples are available in Python, JavaScript, and cURL.

Which providers offer FLUX.2 [max]?

FLUX.2 [max] is available through Replicate and fal.ai on Lumenfall. Lumenfall automatically routes requests to the best available provider.

What is the maximum resolution for FLUX.2 [max]?

FLUX.2 [max] supports images up to 2048x2048 resolution.

Overview

FLUX.2 [max] is the flagship image generation model from Black Forest Labs, designed to push the boundaries of photorealism and compositional accuracy. As the most a capable entry in the FLUX.2 family, it functions as a multimodal tool capable of both high-fidelity text-to-image synthesis and sophisticated image-to-image editing. It is distinguished by its ability to follow complex prompts with high spatial precision while maintaining structural consistency across various aspect ratios.

Strengths

Anatomical and Textual Precision: The model excels at rendering fine anatomical details—such as hands, eyes, and skin textures—and exhibits high accuracy when placing legible, coherent text within generated images.
Prompt Adherence: It handles multi-subject prompts and complex spatial relationships (e.g., “a blue sphere balanced on a rough wooden cube behind a glass prism”) with significantly fewer hallucinations than previous iterations.
Photorealistic Texture: The model produces outputs with improved dynamic range and lighting, effectively simulating professional photography across various lenses and lighting conditions.
Versatile Modality: It supports both text and image inputs, making it highly effective for refined image editing, style transfer, and consistent character variations.

Limitations

Computational Latency: Due to its high parameter count and focus on maximum quality, inference times are generally higher than the “pro” or “schnell” variants of the same family.
Hardware Requirements: The model’s complexity makes it less suitable for real-time applications or low-latency environments compared to distilled or smaller models.
Knowledge Cutoffs: Like all large-scale generative models, it may struggle with highly niche or very recent cultural events and specific technical diagrams that were not well-represented in its training data.

Technical Background

FLUX.2 [max] is built on a large-scale transformer-based architecture optimized for flow-based image generation. It utilizes a sophisticated latent diffusion process that integrates high-resolution visual tokens with rich text embeddings. Black Forest Labs employed advanced training techniques to improve the model’s understanding of physics and light, resulting in a more predictable output during the denoising process.

Best For

This model is best suited for professional creative workflows, advertising imagery, and high-end concept art where visual fidelity is more critical than generation speed. It is an ideal choice for tasks requiring precise text rendering or consistent architectural details. FLUX.2 [max] is available for testing and integration through Lumenfall’s unified API and playground, allowing developers to compare its output against other models in the FLUX family.

Try FLUX.2 [max] in Playground

Generate images with custom prompts — no API key needed.

Open Playground

Details

Ready to integrate?

Generation Time

Success Rate

Time to First Byte

Provider Rankings

Providers & Pricing (2)

Input

Output

Input

Output

Code Examples

Image Edit

Parameter Reference

Core Parameters

Size & Layout

How these parameters work

Priority when combined

How matching works

Media Inputs

Output & Format

Additional Parameters

Parameter Normalization

FLUX.2 [max] Benchmarks

Image Editing Landscape

Elo vs Cost

Elo vs Speed

Competition Results

Photorealism

Anime

Portrait

Uncategorized

Top Matchups

FLUX.2 [max] is best for

Gallery

FLUX.2 [max] FAQ

Overview

Strengths

Limitations

Technical Background

Best For

Try FLUX.2 [max] in Playground