arielreplicate/stable_diffusion2_upscaling:03dff174

Version

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arielreplicate /stable_diffusion2_upscaling:03dff174

Playground API

Input

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

npx create-replicate --model=arielreplicate/stable_diffusion2_upscaling

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";

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

Run arielreplicate/stable_diffusion2_upscaling using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "arielreplicate/stable_diffusion2_upscaling:03dff174cad79bb5bee287d5ac9d523dbc236c97f4aeb694f6f0adaf79bcf8f7",
  {
    input: {
      seed: 0,
      ddim_eta: 0,
      ddim_steps: 50,
      input_image: "Image to upscale (Currently memory is not sufficient for 512x512 inputs)"
    }
  }
);

// 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 arielreplicate/stable_diffusion2_upscaling using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "arielreplicate/stable_diffusion2_upscaling:03dff174cad79bb5bee287d5ac9d523dbc236c97f4aeb694f6f0adaf79bcf8f7",
    input={
        "seed": 0,
        "ddim_eta": 0,
        "ddim_steps": 50,
        "input_image": "Image to upscale (Currently memory is not sufficient for 512x512 inputs)"
    }
)
print(output)

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 arielreplicate/stable_diffusion2_upscaling 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": "03dff174cad79bb5bee287d5ac9d523dbc236c97f4aeb694f6f0adaf79bcf8f7",
    "input": {
      "seed": 0,
      "ddim_eta": 0,
      "ddim_steps": 50,
      "input_image": "Image to upscale (Currently memory is not sufficient for 512x512 inputs)"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

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