# FLUX.2 [dev] Turbo

> Distilled version of Black Forest Labs' FLUX.2 [dev] outperforming it at a cheaper price. Developed by fal.ai.

## Quick Reference

- Model ID: flux.2-dev-turbo
- Creator: fal
- Status: active
- Family: flux.2
- Base URL: https://api.lumenfall.ai/openai/v1

## Specifications

- Max Resolution: 2048x2048
- Max Input Images: 4
- Input Modalities: text, image
- Output Modalities: image
- Supported Modes: Text to Image, Image Edit

## API Parameters

The compiled parameter schema for this model is available via the API: `GET /v1/models/flux.2-dev-turbo?schema=true`.

### Core Parameters

- `prompt` (string) — REQUIRED: Text prompt for image generation. Modes: Text to Image

### Size & Layout

- `size` (string): Image dimensions as WxH pixels (e.g. "1024x1024") or aspect ratio (e.g. "16:9"). Modes: Text to Image, Image Edit
- `aspect_ratio` (string): Aspect ratio of the output image (e.g. "16:9", "1:1"). Modes: Text to Image, Image Edit
- `resolution` (string): Output resolution tier (e.g. "1K", "4K"). Modes: Text to Image, Image Edit

### Media Inputs

- `image` (file) — REQUIRED: Input image(s) to edit. Modes: Image Edit

### Output & Format

- `response_format` (string): How to return the image. Default: url. Values: url, b64_json. Modes: Text to Image, Image Edit
- `output_format` (string): Output image format. Values: png, jpeg, gif, webp, avif. Modes: Text to Image, Image Edit
- `output_compression` (integer): Compression level for lossy formats (JPEG, WebP, AVIF). Modes: Text to Image, Image Edit
- `n` (integer): Number of images to generate. Default: 1. Modes: Text to Image, Image Edit


## Model Identifiers

- Primary Slug: flux.2-dev-turbo

## Dates

- Released: December 2025

## Tags

image-generation, text-to-image, open-weights, non-commercial

## Available Providers

### fal.ai

- Config Key: fal/flux.2-dev-turbo
- Provider Model ID: fal-ai/flux-2/turbo
- Pricing: $0.0080/megapixel
  - Source: https://fal.ai/models/fal-ai/flux-2

### fal.ai

- Config Key: fal/flux.2-dev-turbo-edit
- Provider Model ID: fal-ai/flux-2/turbo/edit
- Pricing: $0.0080/megapixel, $0.0080/megapixel
  - Note: Resolution is rounded up to the next megapixel, separately for each reference image and the generated image
  - Note: 1 megapixel = 1024x1024 pixels
  - Note: Each reference image is counted separately (minimum 1 MP each)
  - Note: Images exceeding 4 megapixels are resized to 4 megapixels
  - Source: https://fal.ai/models/fal-ai/flux-2


## Performance Metrics

Provider performance over the last 30 days.

### fal

- Median Generation Time (p50): 5841ms
- 95th Percentile Generation Time (p95): 9796ms
- Average Generation Time: 6072ms
- Success Rate: 100.0%
- Total Requests: 53
- Time to First Byte (p50): 4965ms
- Time to First Byte (p95): 8148ms


## Arena Benchmarks

### Intricate Floral Mandala

- Elo: 1351
- Record: 17W / 1L / 5T (23 battles)
- Rank: #1 of 15

### Geometric Composition

- Elo: 1276
- Record: 17W / 4L / 5T (26 battles)
- Rank: #1 of 22

### Victorian Greenhouse Oasis

- Elo: 1253
- Record: 14W / 8L / 2T (24 battles)
- Rank: #3 of 17

### Fantasy Warrior

- Elo: 1237
- Record: 16W / 4L / 0T (20 battles)
- Rank: #4 of 21

### Isometric Miniature Diorama Scenes

- Elo: 1234
- Record: 14W / 14L / 3T (31 battles)
- Rank: #5 of 21

### Apollo 11: Journey to Tranquility

- Elo: 1214
- Record: 13W / 2L / 4T (19 battles)
- Rank: #3 of 19

### Vintage Cafe Logo

- Elo: 1198
- Record: 10W / 4L / 0T (14 battles)
- Rank: #7 of 21

### Modern Clean Menu

- Elo: 1185
- Record: 7W / 10L / 3T (20 battles)
- Rank: #11 of 19

### Candid Street Photography

- Elo: 1139
- Record: 3W / 10L / 2T (15 battles)
- Rank: #19 of 24

### Adorable Baby Animals in Sunny Meadow

- Elo: 1131
- Record: 4W / 3L / 0T (7 battles)
- Rank: #19 of 25

### Heroic Super Hero Portrait

- Elo: 1129
- Record: 5W / 3L / 2T (10 battles)
- Rank: #16 of 21

### Fantasy Warrior

- Elo: 1113
- Record: 4W / 0L / 2T (6 battles)
- Rank: #5 of 14


## Use Cases & Category Performance

### Text Rendering (Text-to-Image)

- Rank: #4 of 21
- Elo: 1249
- Record: 29W / 16L / 6T (51 battles)
- Win Rate: 56.9%

### Product, Branding & Commercial (Text-to-Image)

- Rank: #4 of 19
- Elo: 1209
- Record: 9W / 4L / 0T (13 battles)
- Win Rate: 69.2%

### Portrait (Text-to-Image)

- Rank: #8 of 19
- Elo: 1210
- Record: 15W / 4L / 0T (19 battles)
- Win Rate: 78.9%

### Photorealism (Text-to-Image)

- Rank: #20 of 22
- Elo: 1123
- Record: 3W / 10L / 1T (14 battles)
- Win Rate: 21.4%


## Image Gallery

16 images available for this model. Browse all at https://lumenfall.ai/models/fal/flux.2-dev-turbo/gallery

### Curated Examples

- [Cinematic wide shot of a high-end, minimalist creative studio at sunset. In the center of the fra...](https://assets.lumenfall.ai/XJ84m-io4lMDD1keD_mwZw3-wrGyH-7KK5Fcr-TlydQ/rs:fit:1500:1500/plain/gs://lumenfall-prod-assets/hp9ug9imx77o476s9pptz5iw9yis@jpeg)
- [A hyper-realistic, macro close-up of a weathered leather craftsmans's workbench. In the soft, nat...](https://assets.lumenfall.ai/_-5k_VtVAOErE_YIQ-V-woOXVbxJUol1il7BaN14gms/rs:fit:1500:1500/plain/gs://lumenfall-prod-assets/owpeqpc1wxzdjrans1jqorjhw12r@jpeg)
- [A hyper-realistic close-up portrait of an elderly artisan woodworker in a sun-drenched workshop. ...](https://assets.lumenfall.ai/VgQ-8q5jSA1VhO8fDKEPj4p5CGn67578H8_G9pcDFOA/rs:fit:1500:1500/plain/gs://lumenfall-prod-assets/wiz5ggv3hdrjkbx0d1r6zn0gog9n@jpeg)
- [A cozy corner of a sunlit independent bookstore with a large chalkboard sign that reads "TODAY'S ...](https://assets.lumenfall.ai/jXsuC6sl_e5J6Jciv3o9EfkC90gyojLoT_svB4hGi4k/rs:fit:1500:1500/plain/gs://lumenfall-prod-assets/mvahwjp7cu877jqbnaanwfdxf17d@jpeg)

### Arena Competition Results

- [Intricate Floral Mandala](https://assets.lumenfall.ai/7Nh2FSorzX3QYuoFzy8TAZ-8KBgxUTMwXTTxHkBjSZo/rs:fit:1500:1500/plain/gs://lumenfall-prod-assets/64hvih1u91ce404g5tly8tf58zx3@jpeg): #1 of 15 (Elo 1351)
- [Geometric Composition](https://assets.lumenfall.ai/pBbInLuPmqOYo0Zz_qU32rGwnfJV2tFpnH7pyfU2fy4/rs:fit:1500:1500/plain/gs://lumenfall-prod-assets/prfi5ncunspl8y8vb953lc7uhpra@jpeg): #1 of 22 (Elo 1276)
- [Victorian Greenhouse Oasis](https://assets.lumenfall.ai/BQ1KIE7sYGd59pqq3uFmQ7Kb8kBTr9kxng1xgxzSgdQ/rs:fit:1500:1500/plain/gs://lumenfall-prod-assets/h7jl1pfgj1vm9vy67jrnrrxt7ms8@jpeg): #3 of 17 (Elo 1253)
- [Fantasy Warrior](https://assets.lumenfall.ai/hvmlo5sigAoIwP79Hdh2sEOBZz8IRKdwwAE0lqqj4_E/rs:fit:1500:1500/plain/gs://lumenfall-prod-assets/153zoobtcv7wsi7vr4ik1sjsx6sw@jpeg): #4 of 21 (Elo 1237)
- [Isometric Miniature Diorama Scenes](https://assets.lumenfall.ai/zCwSEEHVxqSuSQ0X6IRADX7oiTAJAs5-d2Uir3tCzfA/rs:fit:1500:1500/plain/gs://lumenfall-prod-assets/7nsk1c9wo8ihdag0k8o2kzpufqrw@jpeg): #5 of 21 (Elo 1234)
- [Apollo 11: Journey to Tranquility](https://assets.lumenfall.ai/FbFbJv-Djdv9Lnl6vhkvsb8xBmt1adXyGnS_EZOZ8NY/rs:fit:1500:1500/plain/gs://lumenfall-prod-assets/zzzm7grimkf77si1k6k1xb7vgb7w@jpeg): #3 of 19 (Elo 1214)
- [Vintage Cafe Logo](https://assets.lumenfall.ai/2EfbgOzaRtUOJwGnwljf_LSTEpxEbk4EOtHOvFzzbA0/rs:fit:1500:1500/plain/gs://lumenfall-prod-assets/1s5h1vl7c3oapro516q12ngrwm3m@jpeg): #7 of 21 (Elo 1198)
- [Modern Clean Menu](https://assets.lumenfall.ai/22or5MNaeKULPtm1ut6_LLDR-YV3UvGPUNjxThsV_6w/rs:fit:1500:1500/plain/gs://lumenfall-prod-assets/7cepx0m93h2pb84rav784zf6u7m8@jpeg): #11 of 19 (Elo 1185)
- [Candid Street Photography](https://assets.lumenfall.ai/dCfABioO-vJm1KhVxcoqDvn45_fNB6ZtBsXSdPXxd3M/rs:fit:1500:1500/plain/gs://lumenfall-prod-assets/areuaezk0e38z3ob9h4sa0ycn9xa@jpeg): #19 of 24 (Elo 1139)
- [Adorable Baby Animals in Sunny Meadow](https://assets.lumenfall.ai/xZ_nXw7d3VdwwL9emqXQc-V9264P6w_h330bB5QZz5Q/rs:fit:1500:1500/plain/gs://lumenfall-prod-assets/884jlo30dptxavtcx66ul430f7fz@jpeg): #19 of 25 (Elo 1131)
- [Heroic Super Hero Portrait](https://assets.lumenfall.ai/VGooU_Rz2KPjdW_Dl1HRDP1svtddvLUUGcV8ldpiGxY/rs:fit:1500:1500/plain/gs://lumenfall-prod-assets/snkpy9v9eprxx6lqw4gh6tv4b88h@jpeg): #16 of 21 (Elo 1129)
- [Fantasy Warrior](https://assets.lumenfall.ai/4Ri0T3RgEwkfVb3I4XJ-ge_BB6NtyagD1oWTPTsp7Kc/rs:fit:1500:1500/plain/gs://lumenfall-prod-assets/1zrudw7xfhle65mio9fz61x3ko8k@jpeg): #5 of 14 (Elo 1113)

## Example Prompt

The following prompt was used to generate an example image in our playground:

A cozy corner of a sunlit independent bookstore with a large chalkboard sign that reads "TODAY'S SPECIAL: POETRY & TEA" in elegant cursive. In the soft-blur background near a stack of novels, a calm capybara is wearing a tiny reading monocle.

## Code Examples

### Text to Image (/v1/images/generations)

#### cURL

curl -X POST \
  https://api.lumenfall.ai/openai/v1/images/generations \
  -H "Authorization: Bearer $LUMENFALL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "flux.2-dev-turbo",
    "prompt": "",
    "size": "1024x1024"
  }'

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

#### JavaScript

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'YOUR_API_KEY',
  baseURL: 'https://api.lumenfall.ai/openai/v1'
});

const response = await client.images.generate({
  model: 'flux.2-dev-turbo',
  prompt: '',
  size: '1024x1024'
});

// { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }
console.log(response.data[0].url);

#### Python

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.lumenfall.ai/openai/v1"
)

response = client.images.generate(
    model="flux.2-dev-turbo",
    prompt="",
    size="1024x1024"
)

# { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }
print(response.data[0].url)

### Image Edit (/v1/images/edits)

#### cURL

curl -X POST \
  https://api.lumenfall.ai/openai/v1/images/edits \
  -H "Authorization: Bearer $LUMENFALL_API_KEY" \
  -F "model=flux.2-dev-turbo" \
  -F "image=@source.png" \
  -F "prompt=Add a starry night sky to this image" \
  -F "size=1024x1024"

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

#### JavaScript

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-dev-turbo',
  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);

#### Python

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-dev-turbo",
    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)


## About

## Overview
FLUX.2 [dev] Turbo is an accelerated image generation model developed by fal.ai, designed to provide high-fidelity outputs with significantly lower latency than the base FLUX.2 [dev] model. It uses architectural distillation to achieve high performance at a lower cost, maintaining the composition and detail of the original Black Forest Labs weights while requiring fewer sampling steps. This open-weights model is released under a non-commercial license and is optimized for workflows where generation speed and cost-efficiency are prioritized over maximum sampling depth.

## Strengths
*   **Generation Velocity:** Significant reduction in inference time compared to the standard FLUX.2 [dev], capable of producing high-resolution images in a fraction of the steps.
*   **Anatomical and Text Fidelity:** Retains the core architectural strengths of the FLUX family, specifically in rendering legible text and accurate human anatomy (such as hands and limbs).
*   **Instruction Following:** High responsiveness to complex, multi-subject prompts involving specific spatial arrangements or lighting conditions.
*   **Operational Efficiency:** Lower compute requirements and a reduced price point ($0.008 starting price) make it suitable for high-volume prototyping or iterative design processes.

## Limitations
*   **Non-Commercial License:** The model is restricted to research and personal use; it cannot be integrated into commercial products or used for profit-generating workflows.
*   **Detail Ceiling:** Due to the distillation process, it may occasionally lack the extreme fine-grain texture or subtle lighting nuances found in the full FLUX.2 [dev] model during multi-step high-CFG generations.
*   **Reduced Flexibility:** This turbo variant is specifically tuned for a lower step count, which may make it less responsive to manual sampling adjustments compared to its non-distilled counterpart.

## Technical Background
FLUX.2 [dev] Turbo is part of the FLUX.2 family, utilizing a distilled version of the original diffusion transformer (DiT) architecture. By applying adversarial or sequence-level distillation techniques, fal.ai optimized the original Black Forest Labs weights to converge in fewer iterations without sacrificing the structural integrity of the generated output. The model accepts both text and image inputs, allowing for versatile image-to-image and text-to-image workflows.

## Best For
*   **Iterative Design:** Rapidly testing different prompt variations or character concepts without the wait times associated with standard diffusion models.
*   **Prototyping:** Building proof-of-concept creative tools where speed-of-feedback is critical for user experience.
*   **Research and Personal Projects:** High-quality image generation for non-commercial academic research or hobbyist exploration.

FLUX.2 [dev] Turbo is available through Lumenfall’s unified API and playground, allowing developers to integrate fast, state-of-the-art image generation into their research environments with minimal configuration.

## Frequently Asked Questions

### How much does FLUX.2 [dev] Turbo cost?

FLUX.2 [dev] Turbo starts at $0.008 per image through Lumenfall. Pricing varies by provider. Lumenfall does not add any markup to provider pricing.

### How do I use FLUX.2 [dev] Turbo via API?

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

### Which providers offer FLUX.2 [dev] Turbo?

FLUX.2 [dev] Turbo is available through fal.ai on Lumenfall. Lumenfall automatically routes requests to the best available provider.

### What is the maximum resolution for FLUX.2 [dev] Turbo?

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

## Links

- Model Page: https://lumenfall.ai/models/fal/flux.2-dev-turbo
- About: https://lumenfall.ai/models/fal/flux.2-dev-turbo/about
- Providers, Pricing & Performance: https://lumenfall.ai/models/fal/flux.2-dev-turbo/providers
- API Reference: https://lumenfall.ai/models/fal/flux.2-dev-turbo/api
- Benchmarks: https://lumenfall.ai/models/fal/flux.2-dev-turbo/benchmarks
- Use Cases: https://lumenfall.ai/models/fal/flux.2-dev-turbo/use-cases
- Gallery: https://lumenfall.ai/models/fal/flux.2-dev-turbo/gallery
- Playground: https://lumenfall.ai/playground?model=flux.2-dev-turbo
- API Documentation: https://docs.lumenfall.ai