lucataco/ssd-1b-img2img:8d758408 – Run with an API on Replicate

Version

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lucataco /ssd-1b-img2img:8d758408

Playground API

Input

image

*file

Input image

prompt

string

Shift + Return to add a new line

Input prompt

Default: "a wolf with pink and blue fur"

negative_prompt

string

Shift + Return to add a new line

Negative Input prompt

Default: "scary, cartoon, painting"

scheduler

string

scheduler

Default: "K_EULER"

num_inference_steps

integer

(minimum: 1, maximum: 500)

Number of denoising steps

Default: 20

guidance_scale

number

(minimum: 1, maximum: 50)

Scale for classifier-free guidance

Default: 8

strength

number

(minimum: 0, maximum: 1)

strength/weight

Default: 0.9

seed

integer

Random seed. Leave blank to randomize the seed

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

npx create-replicate --model=lucataco/ssd-1b-img2img

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 lucataco/ssd-1b-img2img using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/ssd-1b-img2img:8d758408398a909fb7696c2a04ea044158de351b6b87cf0934d1f11bc3e4ad39",
  {
    input: {
      prompt: "a wolf with pink and blue fur",
      strength: 0.9,
      scheduler: "K_EULER",
      guidance_scale: 8,
      negative_prompt: "scary, cartoon, painting",
      num_inference_steps: 20
    }
  }
);

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

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

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 lucataco/ssd-1b-img2img using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/ssd-1b-img2img:8d758408398a909fb7696c2a04ea044158de351b6b87cf0934d1f11bc3e4ad39",
    input={
        "prompt": "a wolf with pink and blue fur",
        "strength": 0.9,
        "scheduler": "K_EULER",
        "guidance_scale": 8,
        "negative_prompt": "scary, cartoon, painting",
        "num_inference_steps": 20
    }
)
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 lucataco/ssd-1b-img2img 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": "lucataco/ssd-1b-img2img:8d758408398a909fb7696c2a04ea044158de351b6b87cf0934d1f11bc3e4ad39",
    "input": {
      "prompt": "a wolf with pink and blue fur",
      "strength": 0.9,
      "scheduler": "K_EULER",
      "guidance_scale": 8,
      "negative_prompt": "scary, cartoon, painting",
      "num_inference_steps": 20
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

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