Back to Comparison Hub/flux-kontext-dev-i2i Comparison
Image to Image

Flux Kontext Dev I2i API Pricing Comparison

Takes an input images and transforms it based on a new prompt. Keeps structure or pose while changing style, appearance, or details.

Savings Alert33% ↓Cheaper than Fal.ai

Model Overview

flux-kontext-dev-i2i is a cutting-edge image-to-image transformation model designed for creative professionals and enthusiasts alike. Leveraging advanced AI techniques, this model takes an input image and reimagines it based on a new prompt while retaining the original structure or pose. It seamlessly blends the technical sophistication of neural networks with intuitive design, ensuring that users can achieve delightful transformations without compromising on quality or intent. Under the hood, flux-kontext-dev-i2i utilizes state-of-the-art algorithms that integrate style transfer and artifact minimization to enhance, reinterpret, or completely revamp the visual narrative of an image. Whether you’re looking to update a photograph with a modern styling twist or generate a creative reinterpretation of an existing scene, this model offers unparalleled adaptability. Its utility in various sectors—from digital art to marketing visuals—positions it as a reliable tool for driving innovative visual content creation.

Interactive Savings Calculator

Estimate monthly API spend and compare absolute developer savings.

Monthly API Generations10,000 runs
50025,00050,00075,000100,000+
MuAPI Monthly Cost

$200.00

$0.02
Fal.ai Cost

$300.00

$0.03
Estimated Monthly Savings$100.00
Annual Savings$1200.00

Detailed Pricing Breakdown

ProviderEstimated RateNotes
muapiapp$0.02muapiapp offers competitive pricing that is 20-50% more affordable than its competitors while delivering comparable or superior quality.
Fal.ai$0.03Fal.ai's pricing makes it 20-50% more expensive than muapiapp; however, both platforms provide high-quality image transformations.
Replicate$0.03Replicate charges approximately the same as Fal.ai, making muapiapp a more cost-effective solution with similar performance and output quality.

Developer Integration Snippets

1import requests 2import time 3import json 4 5api_key = "YOUR_API_KEY" 6url = "https://api.muapi.ai/workflow/run/flux-kontext-dev-i2i" 7 8def poll_for_result(run_id): 9 url = f"https://api.muapi.ai/workflow/run/{run_id}/api-outputs" 10 headers = { 11 "Content-Type": "application/json", 12 "x-api-key": f"{api_key}", 13 } 14 while True: 15 response = requests.get(url, headers=headers) 16 result = response.json() 17 18 if result['status'] == 'completed': 19 return json.loads(result['outputs']) 20 21 if result['status'] == 'failed': 22 raise Exception(result.get('error', 'Generation failed')) 23 24 time.sleep(5) 25 26data = { 27 "schemas": { 28 "input_data": { 29 "x-order-properties": [ 30 "prompt", 31 "images_list", 32 "aspect_ratio", 33 "num_images" 34 ], 35 "type": "object", 36 "properties": { 37 "prompt": { 38 "examples": [ 39 "A cozy outdoor coffee shop on a small street, people sitting at tables enjoying drinks, a barista serving coffee, leaves gently falling from nearby trees, and soft warm lighting adding a friendly vibe." 40 ], 41 "description": "Text prompt describing the image. The length of the prompt must be between 2 and 3000 characters.", 42 "type": "string", 43 "title": "Prompt", 44 "name": "prompt" 45 }, 46 "images_list": { 47 "examples": [ 48 "https://d3adwkbyhxyrtq.cloudfront.net/ai-images/186/877935618962/82e06b1f-13c6-44a5-a2bf-ec1b3ef4968e.jpg" 49 ], 50 "description": "Upload or provide reference images. Used for image-to-image generation.", 51 "field": "images_list", 52 "type": "array", 53 "items": { 54 "type": "string" 55 }, 56 "title": "Image URLs", 57 "name": "images_list", 58 "maxItems": 10 59 }, 60 "aspect_ratio": { 61 "enum": [ 62 "16:9", 63 "9:16", 64 "1:1", 65 "4:3", 66 "3:4", 67 "3:2", 68 "2:3", 69 "21:9", 70 "9:21" 71 ], 72 "title": "Aspect Ratio", 73 "name": "aspect_ratio", 74 "type": "string", 75 "description": "Aspect ratio of the output image.", 76 "default": "1:1" 77 }, 78 "num_images": { 79 "title": "Number of images", 80 "name": "num_images", 81 "type": "int", 82 "description": "Number of images generated in single request. Each number will charge separately", 83 "default": 1, 84 "minValue": 1, 85 "maxValue": 4, 86 "step": 1, 87 "isEdit": true 88 } 89 }, 90 "title": "BaseInput", 91 "required": [ 92 "prompt", 93 "images_list" 94 ], 95 "endpoint_url": "flux-kontext-dev-i2i" 96 }, 97 "output_data": { 98 "x-fal-order-properties": [ 99 "images" 100 ], 101 "type": "object", 102 "properties": { 103 "video": { 104 "examples": [ 105 "https://d3adwkbyhxyrtq.cloudfront.net/aivideo/images/186/467355981181/output.jpeg", 106 "https://d3adwkbyhxyrtq.cloudfront.net/aivideo/images/186/761593893508/output_2.jpeg" 107 ], 108 "description": "The generated images", 109 "title": "Image", 110 "comparison": false 111 } 112 }, 113 "title": "FluxKontextDev", 114 "required": [ 115 "images" 116 ] 117 } 118 } 119} 120 121headers = { 122 "Content-Type": "application/json", 123 "x-api-key": f"{api_key}", 124} 125 126response = requests.post(url, json=data, headers=headers) 127 128result = response.json() 129print("Queued:", result) 130 131outputs = poll_for_result(result["run_id"]) 132print("Completed:", outputs) 133

Model FAQ

Ready to scale your production?

Get instant access to developer keys. Integrate high-speed dynamic models in minutes with our robust SDKs.