llsean / clip-interrogator-image-analysis

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  • 14 runs
Iterate in playground

Input

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

npx create-replicate --model=llsean/clip-interrogator-image-analysis
or set up a project from scratch
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 llsean/clip-interrogator-image-analysis using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "llsean/clip-interrogator-image-analysis:1d78352129182842018d997191ef98abb36530e9ba41e28c804a07ac52919393",
  {
    input: {
      width: 768,
      height: 768,
      prompt: "Self-portrait oil painting, a beautiful cyborg with golden hair, 8k",
      num_images: 1,
      guidance_scale: 8,
      archive_outputs: false,
      prompt_strength: 0.8,
      sizing_strategy: "width/height",
      lcm_origin_steps: 50,
      canny_low_threshold: 100,
      num_inference_steps: 8,
      canny_high_threshold: 200,
      control_guidance_end: 1,
      control_guidance_start: 0,
      controlnet_conditioning_scale: 2
    }
  }
);

// 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.

Output

No output yet! Press "Submit" to start a prediction.

Run time and cost

This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.