Flux realism API

flux-realism
FLUX Realism LoRA generates photorealistic images from text prompts, enhancing creative possibilities.
Output
$0.035 / MP (variable)
Released
Oct 13, 2025

Overview

FLUX Realism LoRA Description

Basic Information

  • Model Name: FLUX Realism LoRA
  • Developer/Creator: XLabs AI, developed in collaboration with Black Forest Labs
  • Release Date: August 2024
  • Version: 1.0
  • Model Type: Image Generation
Overview

FLUX Realism LoRA is a state-of-the-art model designed to generate photorealistic images from textual descriptions. It enhances the capabilities of the FLUX-1 model, allowing users to create lifelike visuals without the need for extensive realism-related prompts.

Key Features
  • Generates high-resolution photorealistic images from text prompts.
  • Compact model size (22MB) for easy integration.
  • Functions as a "realism filter" to refine outputs without changing base model weights.
  • Supports fine-tuning with adjustable parameters for customized results.
Intended Use

FLUX Realism LoRA is ideal for various applications, including:

  • Digital Art: Creating illustrations and posters.
  • Marketing: Producing compelling visuals for promotional content.
  • Education: Visualizing concepts and ideas.
  • Concept Art: Assisting in pre-visualization for gaming and film industries.
Language Support

The model primarily supports English, but its architecture allows for potential adaptation to other languages.

Technical Details

Architecture

FLUX Realism LoRA utilizes deep neural networks, specifically leveraging a transformer architecture to interpret and generate images based on natural language prompts. This architecture enhances the model's ability to understand and produce complex visual narratives.

Training Data

The model was trained on a curated dataset comprising high-resolution photorealistic images paired with descriptive text captions. This dataset was designed to ensure diversity and depth, enabling the model to generate realistic images across a range of contexts.

  • Data Source and Size: The training dataset includes thousands of images, ensuring a robust understanding of various subjects and styles.
  • Knowledge Cutoff: The model's training includes data up to August 2024.
  • Diversity and Bias: The dataset was curated to minimize biases and ensure a wide representation of subjects, enhancing the model's robustness and effectiveness.
Performance Metrics

FLUX Realism LoRA has been evaluated against several performance metrics, achieving an overall score of 8/10 in user tests. Key metrics include:

  • Accuracy: High fidelity to input prompts.
  • Speed: Optimized for real-time image generation.
  • Robustness: Effectively handles diverse inputs and adapts to various topics.

Usage

Code Samples:

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API Documentation: link

Ethical Guidelines

The development of FLUX Realism LoRA adheres to ethical standards, focusing on responsible AI usage. Considerations include transparency in model capabilities and the potential impact of generated content.

Licensing

License Type: The model is available for both commercial and non-commercial use, with specific terms outlined in the licensing agreement.

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Uptime and performance

  • Uptime (7d): 100%

Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.

Use cases

  • Realistic art creation: Add realism without heavy infrastructure changes
  • Batch photorealistic synthesis: Use for consistent high-quality outputs
  • Style refinement: Improve skin, textures, lighting in portraits or scenes
  • Experimentation & prototyping: Swap LoRA in/out to test fidelity gains

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How to use Flux realism API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to flux-realism.
import requests

r = requests.post(
    "https://api.aimlapi.com/v1/images/generations",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "flux-realism",
      "prompt": "A cat holding a sign that says hello"
    },
)
print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/images/generations", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "flux-realism",
    "prompt": "A cat holding a sign that says hello"
  }),
});
console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/images/generations \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"flux-realism","prompt":"A cat holding a sign that says hello"}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.

Flux realism API Pricing

TypePrice
Output
$0.035 / MP (variable)

Flux realism vs other models

ModelInputOutputContextBest for
Flux realism
This page
$0.035 / MP (variable)
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$0.25 / 1M tokens
$60 / 1M tokens
128K tokens
Image generation at scale
$5 / 1M tokens
$30 / 1M tokens
Image generation at scale
$0.25 / gen
Image generation at scale
$0.015 / MP (variable)
Image generation at scale

Frequently asked questions

Flux realism takes image, text as input and returns image.

Flux realism is priced at $0.0455 / MP (variable).

Flux realism is billed per generation — a fixed charge per output rather than by prompt length.

Yes, Flux realism accepts image input as well as a text prompt.

Flux realism was built by Black Forest Labs.

Send a request to https://api.aimlapi.com/v1/images/generations with flux-realism as the model id.

Yes. Flux realism is served through AI/ML API, so the same key and endpoint format used for other models applies.

FLUX Realism LoRA is an image generation model from Black Forest Labs that creates photorealistic images from text prompts.

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