Image to Video

VFX API Pricing

VFX delivers high-impact visual effects like explosions, particles, and cinematic overlays to transform static images into action-packed videos.

Savings Alert33% ↓Cheaper than Fal.ai

About VFX

The VFX model revolutionizes the transformation of static images by infusing them with high-impact visual effects such as explosions, particles, and cinematic overlays. Leveraging cutting-edge AI algorithms, this tool is designed to elevate your visuals to new heights, providing a seamless transition from stills to dynamic, action-packed videos. Whether you are enhancing a creative project or augmenting marketing collateral, VFX delivers immersive, professional-grade effects that capture attention and bring stories to life. Built with both technical precision and creative flair, VFX operates on a robust framework that supports a variety of input parameters, ensuring flexible customization to meet diverse project needs. Its underlying technology optimizes visual fidelity while maximizing performance, making it an indispensable asset for content creators, digital artists, and filmmakers who demand both quality and efficiency.

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

$3000.00

$0.3 per generation
Fal.ai Cost

$4500.00

$0.45 per generation
Estimated Monthly Savings$1500.00
Annual Savings$18000.00

Detailed Pricing Breakdown

ProviderEstimated RateNotes
muapiapp$0.3 per generationmuapiapp is 20-50% more affordable than its competitors while delivering comparable or superior quality.
Fal.ai$0.45 per generationFal.ai's pricing is set at $0.45, making muapiapp a 20-50% cheaper alternative with high-quality output.
Replicate$0.45 per generationReplicate charges around $0.45 per generation, positioning muapiapp as a more cost-effective solution with competitive performance.

Developer Integration Snippets

1import requests 2import time 3import json 4 5api_key = "YOUR_API_KEY" 6url = "https://api.muapi.ai/workflow/run/vfx" 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 "name", 33 "aspect_ratio", 34 "resolution", 35 "quality", 36 "duration" 37 ], 38 "type": "object", 39 "properties": { 40 "prompt": { 41 "examples": [ 42 "a Mercedes bench car" 43 ], 44 "description": "The prompt to insert into the predefined prompt template for the selected effect.", 45 "type": "string", 46 "title": "Prompt", 47 "name": "prompt" 48 }, 49 "image_url": { 50 "examples": [ 51 "https://d3adwkbyhxyrtq.cloudfront.net/ai-images/186/325013990791/fa5a980c-5c3c-42c3-87a3-578976ffd8a6.jpg" 52 ], 53 "description": "URL of the input image.", 54 "field": "image", 55 "type": "string", 56 "title": "Image URL", 57 "name": "image_url" 58 }, 59 "name": { 60 "enum": [ 61 "Building Explosion", 62 "Car Explosion", 63 "Decay Time-Lapse", 64 "Disintegration", 65 "Electricity", 66 "Flying", 67 "Huge Explosion", 68 "Levitate", 69 "Tornado" 70 ], 71 "description": "The type of effect to apply to the video.", 72 "type": "string", 73 "title": "Effect Type", 74 "name": "name", 75 "default": "Car Explosion" 76 }, 77 "aspect_ratio": { 78 "enum": [ 79 "16:9", 80 "9:16", 81 "1:1" 82 ], 83 "title": "Aspect Ratio", 84 "name": "aspect_ratio", 85 "type": "string", 86 "description": "Aspect ratio of the output video.", 87 "default": "16:9" 88 }, 89 "resolution": { 90 "enum": [ 91 "480p", 92 "720p" 93 ], 94 "title": "Resolution", 95 "name": "resolution", 96 "type": "string", 97 "description": "The resolution of the generated video.", 98 "default": "480p" 99 }, 100 "quality": { 101 "enum": [ 102 "medium", 103 "high" 104 ], 105 "title": "Quality", 106 "name": "quality", 107 "type": "string", 108 "description": "The quality of the generated video.", 109 "default": "medium" 110 }, 111 "duration": { 112 "enum": [ 113 5, 114 10 115 ], 116 "title": "Duration", 117 "name": "duration", 118 "type": "int", 119 "description": "The duration of the generated video in seconds", 120 "default": 5 121 } 122 }, 123 "title": "BaseInput", 124 "required": [ 125 "prompt", 126 "image_url" 127 ], 128 "endpoint_url": "generate_wan_ai_effects" 129 }, 130 "output_data": { 131 "x-fal-order-properties": [ 132 "video" 133 ], 134 "type": "object", 135 "properties": { 136 "video": { 137 "examples": [ 138 "https://d3adwkbyhxyrtq.cloudfront.net/videos/186/224655648893/08b5cfa6-a03f-4c44-8a8e-f70f33a8ae3b.mp4" 139 ], 140 "description": "The generated video", 141 "title": "Video", 142 "comparison": false 143 } 144 }, 145 "title": "WanEffectsOutput", 146 "required": [ 147 "video" 148 ] 149 } 150 } 151} 152 153headers = { 154 "Content-Type": "application/json", 155 "x-api-key": f"{api_key}", 156} 157 158response = requests.post(url, json=data, headers=headers) 159 160result = response.json() 161print("Queued:", result) 162 163outputs = poll_for_result(result["run_id"]) 164print("Completed:", outputs) 165

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