luosiallen/latent-consistency-model:553803fd – Run with an API on Replicate

Version

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luosiallen /latent-consistency-model:553803fd

Input

prompt

string

Shift + Return to add a new line

BAKED SALMON WITH A SIDE OF ROASTED VEGETABLESBAKED SALMON WITH A SIDE OF ROASTED VEGETABLES

Input prompt

Default: "Self-portrait oil painting, a beautiful cyborg with golden hair, 8k"

width

integer

Width of output image. Lower the setting if out of memory.

Default: 768

height

integer

Height of output image. Lower the setting if out of memory.

Default: 768

num_images

integer

(minimum: 1, maximum: 4)

Number of images to output.

Default: 1

num_inference_steps

integer

(minimum: 1, maximum: 50)

Number of denoising steps. Can be set to 1~50 steps. LCM support fast inference even <= 4 steps. Recommend: 1~8 steps.

Default: 8

guidance_scale

number

(minimum: 1, maximum: 20)

Scale for classifier-free guidance

Default: 8

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=luosiallen/latent-consistency-model

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 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: {
      width: 768,
      height: 768,
      prompt: "BAKED SALMON WITH A SIDE OF ROASTED VEGETABLES",
      num_images: 1,
      guidance_scale: 8,
      num_inference_steps: 8
    }
  }
);

// 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 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={
        "width": 768,
        "height": 768,
        "prompt": "BAKED SALMON WITH A SIDE OF ROASTED VEGETABLES",
        "num_images": 1,
        "guidance_scale": 8,
        "num_inference_steps": 8
    }
)
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 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": {
      "width": 768,
      "height": 768,
      "prompt": "BAKED SALMON WITH A SIDE OF ROASTED VEGETABLES",
      "num_images": 1,
      "guidance_scale": 8,
      "num_inference_steps": 8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

3.1 seconds

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