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Replicate ML API

The Replicate ML API offers developers free access to a wide range of machine learning models, supporting various applications such as image processing and sentiment analysis.

Developed by Replicate Inc.

99.95%Uptime
200msLatency
4.2kStars
API KeyAuth
NoCredit Card
RESTStyle
v1Version
API Endpoints

Reference for available routes, request structures, and live examples.

Runs machine learning models on Replicate platform

Full Endpoint URL
https://api.replicate.com/predictions
Implementation Example
curl -X POST 'https://api.replicate.com/predictions' \
  -H 'Authorization: Bearer YOUR_API_KEY'
Request Payload
{
  "input": {
    "width": 768,
    "prompt": "A futuristic city at sunset"
  },
  "version": "stability-ai/stable-diffusion:ac732df..."
}
Expected Response
{
  "id": "ufawqhfynnddngldkgtslldrkq",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/ufawqhfynnddngldkgtslldrkq"
  },
  "output": null,
  "status": "processing"
}
Version:v1
Limit:Model-dependent
Real-World Applications
  • Image generation on user promptOptimized Capability
  • Text summarization in a Django backendOptimized Capability
  • Voice synthesis for mobile appsOptimized Capability
  • Batch processing of NLP tasksOptimized Capability
Advantages
  • Unified API across vision, NLP, and audio models
  • Fast integration with SDKs in popular languages
  • High uptime and predictable latency
  • Generous free tier for prototyping
Limitations
  • Rate limits may restrict high‑volume usage
  • Free tier usage may run out quickly with heavy models
  • Limited to available pretrained models—no custom training
  • Latency depends on model complexity and compute tier

FAQs

API Specifications

v1
Pricing Model
pay‑as‑you‑go credits plus volume discounts
Credit Card
Not Required
Response Formats
JSON
Supported Languages
5 Languages
SDK Support
Python, JavaScript, Go, Ruby
Time to Hello World

5 minutes or less

Rate Limit

60 requests per minute

Free Tier Usage

50 free credits per month, 1 request per second max

Use Case: Best For

Rapid prototyping of AI features, startups, developers integrating pretrained models

Not Recommended For

Custom model training workflows, extremely high‑throughput real‑time systems

#cloud-gpu#machine learning

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