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Text to Image

Text to Image Pro API Pricing

Qwen 2.0 Pro Text to Image model with maximum realism and fidelity.

Savings Alert-100% ↓Cheaper than Competitor

About Text to Image Pro

Qwen 2.0 Pro Text-to-Image offers maximum fidelity and instruction-following for professional-grade creations.

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

$600.00

$0.06
Competitor Cost

$300.00

$0.03 per run
Estimated Monthly Savings$-300.00
Annual Savings$-3600.00

Detailed Pricing Breakdown

ProviderEstimated RateNotes
muapiapp$0.06Highly competitive

Developer Integration Snippets

1import requests 2import time 3import json 4 5api_key = "YOUR_API_KEY" 6url = "https://api.muapi.ai/workflow/run/qwen-image-2.0-pro" 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 "description": "A description of the image you want to generate.", 38 "title": "Prompt", 39 "type": "string", 40 "name": "prompt", 41 "examples": [ 42 "A massive transparent whale floating through the sky above a city, inside its body a fully lit miniature city with skyscrapers and highways, surreal cinematic lighting, ultra detailed" 43 ] 44 }, 45 "aspect_ratio": { 46 "enum": [ 47 "16:9", 48 "9:16", 49 "1:1", 50 "4:3", 51 "3:4", 52 "21:9", 53 "9:21" 54 ], 55 "title": "Aspect Ratio", 56 "type": "string", 57 "name": "aspect_ratio", 58 "default": "16:9", 59 "description": "Aspect ratio of the output image." 60 } 61 }, 62 "title": "BaseInput", 63 "required": [ 64 "prompt" 65 ], 66 "endpoint_url": "qwen-image-2.0-pro" 67 }, 68 "output_data": { 69 "type": "object", 70 "properties": { 71 "video": { 72 "examples": [ 73 "https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/qwen-image-2.0-pro.jpg" 74 ], 75 "type": "string", 76 "title": "Video URL" 77 } 78 }, 79 "title": "GenericOutput", 80 "required": [ 81 "video" 82 ] 83 } 84 } 85} 86 87headers = { 88 "Content-Type": "application/json", 89 "x-api-key": f"{api_key}", 90} 91 92response = requests.post(url, json=data, headers=headers) 93 94result = response.json() 95print("Queued:", result) 96 97outputs = poll_for_result(result["run_id"]) 98print("Completed:", outputs) 99

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