lucataco / lcm-ssd-1b

{
  "seed": 13271235,
  "prompt": "a close-up picture of an old man standing in the rain",
  "num_outputs": 1,
  "guidance_scale": 8,
  "negative_prompt": "",
  "num_inference_steps": 4
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "lucataco/lcm-ssd-1b:20cc3ee02945dee481e386ac2a3212654c3801aa5992ee74c78cf81565f8ff4c",
  {
    input: {
      seed: 13271235,
      prompt: "a close-up picture of an old man standing in the rain",
      num_outputs: 1,
      guidance_scale: 8,
      negative_prompt: "",
      num_inference_steps: 4
    }
  }
);

// 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

Import the client:

import replicate

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

output = replicate.run(
    "lucataco/lcm-ssd-1b:20cc3ee02945dee481e386ac2a3212654c3801aa5992ee74c78cf81565f8ff4c",
    input={
        "seed": 13271235,
        "prompt": "a close-up picture of an old man standing in the rain",
        "num_outputs": 1,
        "guidance_scale": 8,
        "negative_prompt": "",
        "num_inference_steps": 4
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run lucataco/lcm-ssd-1b 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/lcm-ssd-1b:20cc3ee02945dee481e386ac2a3212654c3801aa5992ee74c78cf81565f8ff4c",
    "input": {
      "seed": 13271235,
      "prompt": "a close-up picture of an old man standing in the rain",
      "num_outputs": 1,
      "guidance_scale": 8,
      "negative_prompt": "",
      "num_inference_steps": 4
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

2.5 seconds

Tweak it ShareReport

Prediction

lucataco/lcm-ssd-1b:20cc3ee02945dee481e386ac2a3212654c3801aa5992ee74c78cf81565f8ff4c

Model

lucataco/lcm-ssd-1b:20cc3ee0

jdplu5lb4g6ubdsdz4fzsmnfce

Status

Succeeded

Source

Web

Hardware

A40

Total duration

2.2s

Created

over 1 year ago by @lucataco

Input

seed: 13271235
prompt: a close-up picture of an old man standing in the rain
num_outputs: 1
guidance_scale: 8
negative_prompt
num_inference_steps: 2

{
  "seed": 13271235,
  "prompt": "a close-up picture of an old man standing in the rain",
  "num_outputs": 1,
  "guidance_scale": 8,
  "negative_prompt": "",
  "num_inference_steps": 2
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "lucataco/lcm-ssd-1b:20cc3ee02945dee481e386ac2a3212654c3801aa5992ee74c78cf81565f8ff4c",
  {
    input: {
      seed: 13271235,
      prompt: "a close-up picture of an old man standing in the rain",
      num_outputs: 1,
      guidance_scale: 8,
      negative_prompt: "",
      num_inference_steps: 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.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "lucataco/lcm-ssd-1b:20cc3ee02945dee481e386ac2a3212654c3801aa5992ee74c78cf81565f8ff4c",
    input={
        "seed": 13271235,
        "prompt": "a close-up picture of an old man standing in the rain",
        "num_outputs": 1,
        "guidance_scale": 8,
        "negative_prompt": "",
        "num_inference_steps": 2
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run lucataco/lcm-ssd-1b 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/lcm-ssd-1b:20cc3ee02945dee481e386ac2a3212654c3801aa5992ee74c78cf81565f8ff4c",
    "input": {
      "seed": 13271235,
      "prompt": "a close-up picture of an old man standing in the rain",
      "num_outputs": 1,
      "guidance_scale": 8,
      "negative_prompt": "",
      "num_inference_steps": 2
    }
  }' \
  https://api.replicate.com/v1/predictions

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