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Edit Image API Pricing

The Qwen Edit Image Model allows you to modify existing images using text-based editing prompts. Instead of generating from scratch, you can upload a base image and describe the desired changes (e.g., replacing objects, altering colors, adding new elements).

Savings Alert40% ↓Cheaper than Fal.ai

About Edit Image

The Qwen Edit Image Model is a state-of-the-art tool designed to transform existing images using natural language prompts. Leveraging advanced AI techniques, this model enables users to alter various elements of an image, from replacing objects to modifying color schemes, all through simple text instructions. Unlike traditional image generation systems that create images from scratch, Qwen Edit uses the original image as a base, ensuring that the context and composition are preserved while making creative modifications. Built with a robust underlying technology, Qwen Edit integrates seamlessly into workflows that require precise and customizable image adjustments. Its intuitive interface and efficient processing make it a go-to solution for designers, marketers, and creative professionals aiming to elevate their visual content. The model’s unique ability to edit images based on descriptive prompts sets it apart, offering unparalleled flexibility and creative control, all at a cost-effective rate.

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

$300.00

$0.03
Fal.ai Cost

$500.00

$0.05
Estimated Monthly Savings$200.00
Annual Savings$2400.00

Detailed Pricing Breakdown

ProviderEstimated RateNotes
muapiapp$0.03muapiapp offers this service at $0.03 per generation, which is 20-50% more affordable than its competitors while delivering comparable or superior quality.
Fal.ai$0.05Fal.ai charges $0.05 per generation. muapiapp is approximately 40% cheaper, making it a more cost-effective option for users.
Replicate$0.05Replicate also charges $0.05 per generation. With muapiapp offering the same service at $0.03, users enjoy significant savings of 40% without compromising on quality.

Developer Integration Snippets

1import requests 2import time 3import json 4 5api_key = "YOUR_API_KEY" 6url = "https://api.muapi.ai/workflow/run/qwen-image-edit" 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 "image_url", 32 "aspect_ratio" 33 ], 34 "type": "object", 35 "properties": { 36 "prompt": { 37 "examples": [ 38 "Replace the field with a snowy mountain landscape." 39 ], 40 "description": "Text prompt describing the image, what you want the final edited image to look like.", 41 "type": "string", 42 "title": "Prompt", 43 "name": "prompt" 44 }, 45 "image_url": { 46 "examples": [ 47 "https://d3adwkbyhxyrtq.cloudfront.net/ai-images/186/428235948760/199c08e0-41f8-4fc9-99db-25803c2c9020.jpg" 48 ], 49 "description": "URL of the input image to used to transform the image.", 50 "field": "image", 51 "type": "string", 52 "title": "Image URL", 53 "name": "image_url" 54 }, 55 "aspect_ratio": { 56 "enum": [ 57 "16:9", 58 "9:16", 59 "1:1", 60 "4:3", 61 "3:4", 62 "21:9", 63 "9:21", 64 "3:2", 65 "2:3" 66 ], 67 "title": "Aspect Ratio", 68 "name": "aspect_ratio", 69 "type": "string", 70 "description": "Aspect ratio of the output image.", 71 "default": "1:1" 72 } 73 }, 74 "title": "BaseInput", 75 "required": [ 76 "prompt", 77 "image_url" 78 ], 79 "endpoint_url": "qwen-image-edit" 80 }, 81 "output_data": { 82 "x-fal-order-properties": [ 83 "image" 84 ], 85 "type": "object", 86 "properties": { 87 "video": { 88 "examples": [ 89 "https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/qwen-image.avif" 90 ], 91 "description": "The generated image", 92 "title": "Image", 93 "comparison": true 94 } 95 }, 96 "title": "QwenImageEdit", 97 "required": [ 98 "image" 99 ] 100 } 101 } 102} 103 104headers = { 105 "Content-Type": "application/json", 106 "x-api-key": f"{api_key}", 107} 108 109response = requests.post(url, json=data, headers=headers) 110 111result = response.json() 112print("Queued:", result) 113 114outputs = poll_for_result(result["run_id"]) 115print("Completed:", outputs) 116

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