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Text to Image

Text to Image API Pricing

WAN 2.5 Text-to-Image generates high-quality, realistic or stylized images from textual descriptions. It supports detailed visual storytelling, cinematic compositions, and versatile styles — from portraits and product shots to landscapes and fantasy scenes.

Savings Alert33% ↓Cheaper than Fal.ai

About Text to Image

WAN 2.5 Text-to-Image is a state-of-the-art generative AI model that transforms detailed textual prompts into visually compelling images. Leveraging advanced deep learning techniques, it excels in producing cinematic compositions, hyper-realistic detail, and artistic stylizations. This model is built to accommodate a diverse range of visual styles—from lifelike portraits and product shots to expansive landscapes and fantasy scenes—making it an ideal solution for creators, marketers, and digital storytellers. Powered by sophisticated neural networks, WAN 2.5 balances technical precision with creative flexibility. Its robust architecture allows for nuanced control over the visual outcome with configurable dimensions and detailed textual inputs, ensuring that both commercial designers and artistic visionaries can craft images that meet their exact needs. The result is a high-quality, versatile image generation process that stands out in the competitive AI landscape.

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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 20-50% more affordable than competitors while delivering comparable or superior quality.
Fal.ai$0.06Fal.ai charges $0.06 per generation. Despite similar output quality, muapiapp remains a more cost-effective choice.
Replicate$0.06Replicate's pricing is also set at $0.06 per generation. This makes muapiapp a budget-friendly alternative with equivalent or better performance.

Developer Integration Snippets

1import requests 2import time 3import json 4 5api_key = "YOUR_API_KEY" 6url = "https://api.muapi.ai/workflow/run/wan2.5-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 "width", 32 "height" 33 ], 34 "type": "object", 35 "properties": { 36 "prompt": { 37 "examples": [ 38 "A majestic waterfall cascading from towering cliffs into a misty valley, with glowing bioluminescent plants along the riverbanks, a lone explorer standing on a rock, cinematic lighting and ultra-detailed scenery." 39 ], 40 "description": "Text prompt describing the image.", 41 "type": "string", 42 "title": "Prompt", 43 "name": "prompt" 44 }, 45 "width": { 46 "title": "Width", 47 "name": "width", 48 "type": "int", 49 "description": "Width of the output image.", 50 "default": 1024, 51 "minValue": 768, 52 "maxValue": 1440, 53 "step": 1 54 }, 55 "height": { 56 "title": "Height", 57 "name": "height", 58 "type": "int", 59 "description": "Height of the output image.", 60 "default": 1322, 61 "minValue": 768, 62 "maxValue": 1440, 63 "step": 1 64 } 65 }, 66 "title": "BaseInput", 67 "required": [ 68 "prompt" 69 ], 70 "endpoint_url": "wan2.5-text-to-image" 71 }, 72 "output_data": { 73 "x-fal-order-properties": [ 74 "image" 75 ], 76 "type": "object", 77 "properties": { 78 "video": { 79 "examples": [ 80 "https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/wan2.5-text-to-image.png" 81 ], 82 "description": "The generated image", 83 "title": "Image", 84 "comparison": false 85 } 86 }, 87 "title": "Wan2.5T2I", 88 "required": [ 89 "image" 90 ] 91 } 92 } 93} 94 95headers = { 96 "Content-Type": "application/json", 97 "x-api-key": f"{api_key}", 98} 99 100response = requests.post(url, json=data, headers=headers) 101 102result = response.json() 103print("Queued:", result) 104 105outputs = poll_for_result(result["run_id"]) 106print("Completed:", outputs) 107

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