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Text to Image

Text to Image API Pricing

Generate images from text prompts using GPT-4o's vision capabilities. Ideal for basic concept visuals, diagrams, and abstract compositions.

Savings Alert33% ↓Cheaper than Fal.ai

About Text to Image

The gpt4o-text-to-image model leverages state-of-the-art GPT-4o vision capabilities to seamlessly transform natural language text prompts into captivating images. Designed to handle everything from basic concept visuals to detailed diagrams and abstract compositions, this model stands out as a versatile tool for both creative professionals and everyday users. It utilizes advanced neural network architectures to interpret and render text descriptions, ensuring that even the most abstract ideas are visually represented with clarity and precision. Built with efficiency and quality in mind, gpt4o-text-to-image offers a quick and cost-effective solution for generating visual content. Whether you need a conceptual diagram for a presentation, creative artwork for brainstorming sessions, or abstract imagery to spark innovative ideas, this model delivers reliable results. Its user-friendly interface and flexible input schema empower users to customize image aspect ratios and the number of images generated per request, making it an indispensable tool in modern digital artistry.

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

$400.00

$0.04
Fal.ai Cost

$600.00

$0.06
Estimated Monthly Savings$200.00
Annual Savings$2400.00

Detailed Pricing Breakdown

ProviderEstimated RateNotes
muapiapp$0.04muapiapp offers this service at $0.04 per generation, making it a competitively priced option that is 20-50% more affordable than its competitors.
Fal.ai$0.06Fal.ai prices are set at $0.06 per image generation, positioning muapiapp as a 20-50% more cost-effective choice without compromising on quality.
Replicate$0.06Replicate's pricing at $0.06 per generation means that muapiapp provides the same high-quality service at a 20-50% lower cost.

Developer Integration Snippets

1import requests 2import time 3import json 4 5api_key = "YOUR_API_KEY" 6url = "https://api.muapi.ai/workflow/run/gpt4o-text-to-image" 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 "aspect_ratio", 32 "num_images" 33 ], 34 "type": "object", 35 "properties": { 36 "prompt": { 37 "examples": [ 38 "A diagram of the solar system with labeled planets, cartoon style." 39 ], 40 "description": "Text prompt describing the image.", 41 "type": "string", 42 "title": "Prompt", 43 "name": "prompt" 44 }, 45 "aspect_ratio": { 46 "enum": [ 47 "1:1", 48 "2:3", 49 "3:2" 50 ], 51 "title": "Aspect Ratio", 52 "name": "aspect_ratio", 53 "type": "string", 54 "description": "Aspect ratio of the output image.", 55 "default": "1:1" 56 }, 57 "num_images": { 58 "enum": [ 59 1, 60 2, 61 4 62 ], 63 "title": "Number of images", 64 "name": "num_images", 65 "type": "int", 66 "description": "Number of images generated in single request. Each number will charge separately", 67 "default": 1 68 } 69 }, 70 "title": "BaseInput", 71 "required": [ 72 "prompt" 73 ], 74 "endpoint_url": "gpt4o-text-to-image" 75 }, 76 "output_data": { 77 "x-fal-order-properties": [ 78 "images" 79 ], 80 "type": "object", 81 "properties": { 82 "video": { 83 "examples": [ 84 "https://d3adwkbyhxyrtq.cloudfront.net/muapi/homepage/gpt4o-text-to-image.avif" 85 ], 86 "description": "The generated images", 87 "title": "Image", 88 "comparison": false 89 } 90 }, 91 "title": "Gpt4oImage", 92 "required": [ 93 "images" 94 ] 95 } 96 } 97} 98 99headers = { 100 "Content-Type": "application/json", 101 "x-api-key": f"{api_key}", 102} 103 104response = requests.post(url, json=data, headers=headers) 105 106result = response.json() 107print("Queued:", result) 108 109outputs = poll_for_result(result["run_id"]) 110print("Completed:", outputs) 111

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