Prediction

Model

jyoung105/slam:1197108f

5wxhxp0w15rma0ckag59hwkxaw

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

21.2s

Created

about 1 year ago

Webhook

–

Input

prompt: A man with hoodie on, illustration
width: 1024
height: 1024
num_images: 1
steps: 4
eta: 0
guidance_scale: 1
seed: 1234
clip_skip: 0

{
  "clip_skip": 0,
  "eta": 0,
  "guidance_scale": 1,
  "height": 1024,
  "num_images": 1,
  "prompt": "A man with hoodie on, illustration",
  "seed": 1234,
  "steps": 4,
  "width": 1024
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_Bqq**********************************

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 jyoung105/slam using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "jyoung105/slam:1197108fbd7ca3fd9a52a718c6958b869adc666f24647081d594f0c00af078cc",
  {
    input: {
      clip_skip: 0,
      eta: 0,
      guidance_scale: 1,
      height: 1024,
      num_images: 1,
      prompt: "A man with hoodie on, illustration",
      seed: 1234,
      steps: 4,
      width: 1024
    }
  }
);

// 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_Bqq**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run jyoung105/slam using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "jyoung105/slam:1197108fbd7ca3fd9a52a718c6958b869adc666f24647081d594f0c00af078cc",
    input={
        "clip_skip": 0,
        "eta": 0,
        "guidance_scale": 1,
        "height": 1024,
        "num_images": 1,
        "prompt": "A man with hoodie on, illustration",
        "seed": 1234,
        "steps": 4,
        "width": 1024
    }
)

# 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_Bqq**********************************

This is your API token. Keep it to yourself.

Run jyoung105/slam 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": "jyoung105/slam:1197108fbd7ca3fd9a52a718c6958b869adc666f24647081d594f0c00af078cc",
    "input": {
      "clip_skip": 0,
      "eta": 0,
      "guidance_scale": 1,
      "height": 1024,
      "num_images": 1,
      "prompt": "A man with hoodie on, illustration",
      "seed": 1234,
      "steps": 4,
      "width": 1024
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.6 second

Tweak it Report