dsingal0 / stylegan3

Cold

Public
78 runs
T4

Iterate in playground

Run with an API

Playground API Examples README Versions

Prediction

dsingal0/stylegan3:8b9eb0a6dfc759bdf2a4f9ab4359dd3906996b9bc4ae3964db7a82714509320a

Model

dsingal0/stylegan3:8b9eb0a6

ncc5sazbi4dzwwn4too5hylcfy

Status

Succeeded

Source

Web

Hardware

Total duration

6m 19s

Created

almost 2 years ago

Input

seeds: 0
rotate: 3
class_idx: -1
translate: 0,0
noise_mode: random
truncation_psi: 1

{
  "seeds": "0",
  "rotate": 3,
  "class_idx": -1,
  "translate": "0,0",
  "noise_mode": "random",
  "truncation_psi": 1
}

Install Replicate’s Node.js client library:

npm install replicate

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 dsingal0/stylegan3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "dsingal0/stylegan3:8b9eb0a6dfc759bdf2a4f9ab4359dd3906996b9bc4ae3964db7a82714509320a",
  {
    input: {
      seeds: "0",
      rotate: 3,
      class_idx: -1,
      translate: "0,0",
      noise_mode: "random",
      truncation_psi: 1
    }
  }
);

// 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 dsingal0/stylegan3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "dsingal0/stylegan3:8b9eb0a6dfc759bdf2a4f9ab4359dd3906996b9bc4ae3964db7a82714509320a",
    input={
        "seeds": "0",
        "rotate": 3,
        "class_idx": -1,
        "translate": "0,0",
        "noise_mode": "random",
        "truncation_psi": 1
    }
)

# 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.

Run dsingal0/stylegan3 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": "dsingal0/stylegan3:8b9eb0a6dfc759bdf2a4f9ab4359dd3906996b9bc4ae3964db7a82714509320a",
    "input": {
      "seeds": "0",
      "rotate": 3,
      "class_idx": -1,
      "translate": "0,0",
      "noise_mode": "random",
      "truncation_psi": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.9 seconds

Tweak it ShareReport

Prediction

dsingal0/stylegan3:8b9eb0a6dfc759bdf2a4f9ab4359dd3906996b9bc4ae3964db7a82714509320a

Model

dsingal0/stylegan3:8b9eb0a6

zy6wtvbb7xze26erspdlf2pn7e

Status

Succeeded

Source

Web

Hardware

Total duration

6m 12s

Created

almost 2 years ago

Input

seeds: 0-5
rotate: 3
class_idx: -1
translate: 0,0
noise_mode: random
truncation_psi: 1

{
  "seeds": "0-5",
  "rotate": 3,
  "class_idx": -1,
  "translate": "0,0",
  "noise_mode": "random",
  "truncation_psi": 1
}

Install Replicate’s Node.js client library:

npm install replicate

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 dsingal0/stylegan3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "dsingal0/stylegan3:8b9eb0a6dfc759bdf2a4f9ab4359dd3906996b9bc4ae3964db7a82714509320a",
  {
    input: {
      seeds: "0-5",
      rotate: 3,
      class_idx: -1,
      translate: "0,0",
      noise_mode: "random",
      truncation_psi: 1
    }
  }
);

// 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 dsingal0/stylegan3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "dsingal0/stylegan3:8b9eb0a6dfc759bdf2a4f9ab4359dd3906996b9bc4ae3964db7a82714509320a",
    input={
        "seeds": "0-5",
        "rotate": 3,
        "class_idx": -1,
        "translate": "0,0",
        "noise_mode": "random",
        "truncation_psi": 1
    }
)

# 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.

Run dsingal0/stylegan3 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": "dsingal0/stylegan3:8b9eb0a6dfc759bdf2a4f9ab4359dd3906996b9bc4ae3964db7a82714509320a",
    "input": {
      "seeds": "0-5",
      "rotate": 3,
      "class_idx": -1,
      "translate": "0,0",
      "noise_mode": "random",
      "truncation_psi": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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