Prediction

Model

stability-ai/stable-diffusion:db21e45d

uvb7ynit4bhpjds3vn4bx7npeq

Status

Succeeded

Source

Web

Hardware

–

Total duration

2.0s

Created

over 2 years ago by bfirsh

Webhook

–

Input

prompt: an astronaut riding a horse on mars, hd, dramatic lighting
image_dimensions: 512x512
num_outputs: 1
num_inference_steps: 50
guidance_scale: 7.5
scheduler: K_EULER

{
  "guidance_scale": 7.5,
  "image_dimensions": "512x512",
  "num_inference_steps": 50,
  "num_outputs": 1,
  "prompt": "an astronaut riding a horse on mars, hd, dramatic lighting",
  "scheduler": "K_EULER"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_Fr3**********************************

This is your API token. Keep it to yourself.

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run stability-ai/stable-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "stability-ai/stable-diffusion:db21e45d3f7023abc2a46ee38a23973f6dce16bb082a930b0c49861f96d1e5bf",
  {
    input: {
      guidance_scale: 7.5,
      image_dimensions: "512x512",
      num_inference_steps: 50,
      num_outputs: 1,
      prompt: "an astronaut riding a horse on mars, hd, dramatic lighting",
      scheduler: "K_EULER"
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_Fr3**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run stability-ai/stable-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "stability-ai/stable-diffusion:db21e45d3f7023abc2a46ee38a23973f6dce16bb082a930b0c49861f96d1e5bf",
    input={
        "guidance_scale": 7.5,
        "image_dimensions": "512x512",
        "num_inference_steps": 50,
        "num_outputs": 1,
        "prompt": "an astronaut riding a horse on mars, hd, dramatic lighting",
        "scheduler": "K_EULER"
    }
)

# To access the file URL:
print(output[0].url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_Fr3**********************************

This is your API token. Keep it to yourself.

Run stability-ai/stable-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "stability-ai/stable-diffusion:db21e45d3f7023abc2a46ee38a23973f6dce16bb082a930b0c49861f96d1e5bf",
    "input": {
      "guidance_scale": 7.5,
      "image_dimensions": "512x512",
      "num_inference_steps": 50,
      "num_outputs": 1,
      "prompt": "an astronaut riding a horse on mars, hd, dramatic lighting",
      "scheduler": "K_EULER"
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

Generated in

1.9 second

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