elvenson/stable_diffusion_keras_inference:f7cf65a1

Version

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elvenson /stable_diffusion_keras_inference:f7cf65a1

Playground API

Input

Run this model in Node.js with one line of code:

npx create-replicate --model=elvenson/stable_diffusion_keras_inference

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

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 elvenson/stable_diffusion_keras_inference using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "elvenson/stable_diffusion_keras_inference:f7cf65a16d9500dc484007d6d726db726de3c44a253e7af888bff1775a2a573b",
  {
    input: {
      version: 1,
      image_size: "384x512",
      num_outputs: 1,
      num_inference_steps: 50,
      unconditional_guidance_scale: 7.5
    }
  }
);

// 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=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run elvenson/stable_diffusion_keras_inference using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "elvenson/stable_diffusion_keras_inference:f7cf65a16d9500dc484007d6d726db726de3c44a253e7af888bff1775a2a573b",
    input={
        "version": 1,
        "image_size": "384x512",
        "num_outputs": 1,
        "num_inference_steps": 50,
        "unconditional_guidance_scale": 7.5
    }
)

# 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=<paste-your-token-here>

Find your API token in your account settings.

Run elvenson/stable_diffusion_keras_inference 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": "elvenson/stable_diffusion_keras_inference:f7cf65a16d9500dc484007d6d726db726de3c44a253e7af888bff1775a2a573b",
    "input": {
      "version": 1,
      "image_size": "384x512",
      "num_outputs": 1,
      "num_inference_steps": 50,
      "unconditional_guidance_scale": 7.5
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

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