Prediction

Model

luosiallen/latent-consistency-model:553803fd

5lwbdqdbyrilvvsm62mphlbghu

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

48.8s

Created

about 2 years ago by chenxwh

Webhook

–

Input

prompt: Self-portrait oil painting, a beautiful cyborg with golden hair, 8k
width: 768
height: 768
num_images: 1
num_inference_steps: 8
guidance_scale: 8

{
  "guidance_scale": 8,
  "height": 768,
  "num_images": 1,
  "num_inference_steps": 8,
  "prompt": "Self-portrait oil painting, a beautiful cyborg with golden hair, 8k",
  "width": 768
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_QNl**********************************

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 luosiallen/latent-consistency-model using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "luosiallen/latent-consistency-model:553803fd018b3cf875a8bc774c99da9b33f36647badfd88a6eec90d61c5f62fc",
  {
    input: {
      guidance_scale: 8,
      height: 768,
      num_images: 1,
      num_inference_steps: 8,
      prompt: "Self-portrait oil painting, a beautiful cyborg with golden hair, 8k",
      width: 768
    }
  }
);

// 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_QNl**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run luosiallen/latent-consistency-model using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "luosiallen/latent-consistency-model:553803fd018b3cf875a8bc774c99da9b33f36647badfd88a6eec90d61c5f62fc",
    input={
        "guidance_scale": 8,
        "height": 768,
        "num_images": 1,
        "num_inference_steps": 8,
        "prompt": "Self-portrait oil painting, a beautiful cyborg with golden hair, 8k",
        "width": 768
    }
)

# 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_QNl**********************************

This is your API token. Keep it to yourself.

Run luosiallen/latent-consistency-model 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": "luosiallen/latent-consistency-model:553803fd018b3cf875a8bc774c99da9b33f36647badfd88a6eec90d61c5f62fc",
    "input": {
      "guidance_scale": 8,
      "height": 768,
      "num_images": 1,
      "num_inference_steps": 8,
      "prompt": "Self-portrait oil painting, a beautiful cyborg with golden hair, 8k",
      "width": 768
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

3.0 seconds

Tweak it Report