AI/ML Bearer Token

Replicate REST API

Run and deploy AI models via REST API in seconds

Replicate is a cloud platform that lets developers run machine learning models through a simple REST API without managing infrastructure. Deploy open-source models or custom ML models with automatic scaling, pay-per-use pricing, and production-ready inference endpoints. Used by developers to integrate AI capabilities like image generation, language models, speech synthesis, and more into applications.

Base URL https://api.replicate.com/v1

API Endpoints

Method	Endpoint	Description
GET	`/models`	List all public models available on Replicate
GET	`/models/{model_owner}/{model_name}`	Get details about a specific model including versions and schema
GET	`/models/{model_owner}/{model_name}/versions`	List all versions of a specific model
GET	`/models/{model_owner}/{model_name}/versions/{version_id}`	Get details about a specific model version
POST	`/predictions`	Create a new prediction (run a model) and receive results
GET	`/predictions/{prediction_id}`	Get the status and output of a prediction
POST	`/predictions/{prediction_id}/cancel`	Cancel an in-progress prediction
GET	`/predictions`	List all predictions for your account
POST	`/deployments/{deployment_owner}/{deployment_name}/predictions`	Create a prediction using a private deployment
GET	`/deployments`	List all deployments in your account
GET	`/deployments/{deployment_owner}/{deployment_name}`	Get details about a specific deployment
POST	`/trainings`	Start a model training job with custom data
GET	`/trainings/{training_id}`	Get the status and results of a training job
POST	`/trainings/{training_id}/cancel`	Cancel an in-progress training job
GET	`/collections/{collection_slug}`	Get a curated collection of models by category

Code Examples

curl -s -X POST \
  https://api.replicate.com/v1/predictions \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "version": "stability-ai/sdxl:39ed52f2a78e934b3ba6e2a89f5b1c712de7dfea535525255b1aa35c5565e08b",
    "input": {
      "prompt": "A serene lake at sunset with mountains",
      "num_inference_steps": 50
    }
  }'

const response = await fetch('https://api.replicate.com/v1/predictions', {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${process.env.REPLICATE_API_TOKEN}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    version: 'stability-ai/sdxl:39ed52f2a78e934b3ba6e2a89f5b1c712de7dfea535525255b1aa35c5565e08b',
    input: {
      prompt: 'A serene lake at sunset with mountains',
      num_inference_steps: 50
    }
  })
});

const prediction = await response.json();
console.log(prediction);

// Poll for results
while (prediction.status !== 'succeeded' && prediction.status !== 'failed') {
  await new Promise(resolve => setTimeout(resolve, 1000));
  const statusResponse = await fetch(
    `https://api.replicate.com/v1/predictions/${prediction.id}`,
    {
      headers: {
        'Authorization': `Bearer ${process.env.REPLICATE_API_TOKEN}`
      }
    }
  );
  prediction = await statusResponse.json();
}

console.log('Output:', prediction.output);

import replicate
import os

# Set your API token
os.environ['REPLICATE_API_TOKEN'] = 'r8_your_token_here'

# Run a model
output = replicate.run(
    "stability-ai/sdxl:39ed52f2a78e934b3ba6e2a89f5b1c712de7dfea535525255b1aa35c5565e08b",
    input={
        "prompt": "A serene lake at sunset with mountains",
        "num_inference_steps": 50
    }
)

print(output)

# Or use the API directly
import requests

headers = {
    'Authorization': f'Bearer {os.environ["REPLICATE_API_TOKEN"]}',
    'Content-Type': 'application/json'
}

data = {
    'version': 'stability-ai/sdxl:39ed52f2a78e934b3ba6e2a89f5b1c712de7dfea535525255b1aa35c5565e08b',
    'input': {
        'prompt': 'A serene lake at sunset with mountains',
        'num_inference_steps': 50
    }
}

response = requests.post(
    'https://api.replicate.com/v1/predictions',
    headers=headers,
    json=data
)

prediction = response.json()
print(prediction)

Connect Replicate to AI

Deploy a Replicate MCP server on IOX Cloud and connect it to Claude, ChatGPT, Cursor, or any AI client. Your AI assistant gets direct access to Replicate through these tools:

run_replicate_model Execute any Replicate model with specified inputs and return the prediction results, supporting image generation, text generation, audio synthesis, and other AI tasks

get_prediction_status Check the status and retrieve outputs of a running or completed prediction by ID, useful for monitoring long-running model executions

search_models Search and filter available Replicate models by category, task type, or keywords to find appropriate models for specific AI use cases

train_custom_model Start a training job to fine-tune models with custom datasets, enabling personalized AI models for specific domains or styles

list_model_versions Retrieve all available versions of a model to compare capabilities, performance, and select the optimal version for a task

Deploy in 60 seconds

Describe what you need, AI generates the code, and IOX deploys it globally.

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Replicate REST API

API Endpoints

Code Examples

Connect Replicate to AI

Deploy in 60 seconds

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