ai-forever/kandinsky-2:3c6374e7 – Run with an API on Replicate

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ai-forever /kandinsky-2:3c6374e7

Playground API

Input

prompt

string

Shift + Return to add a new line

Input Prompt

Default: "red cat, 4k photo"

num_inference_steps

integer

(minimum: 1, maximum: 500)

Number of denoising steps

Default: 50

guidance_scale

number

(minimum: 1, maximum: 20)

Scale for classifier-free guidance

Default: 4

scheduler

string

Choose a scheduler

Default: "p_sampler"

prior_cf_scale

integer

Default: 4

prior_steps

string

Shift + Return to add a new line

Default: "5"

width

integer

Choose width. Lower the setting if out of memory.

Default: 512

height

integer

Choose height. Lower the setting if out of memory.

Default: 512

batch_size

integer

Choose batch size. Lower the setting if out of memory.

Default: 1

seed

integer

Random seed. Leave blank to randomize the seed

output_format

string

Format of the output images

Default: "webp"

output_quality

integer

(minimum: 0, maximum: 100)

Quality of the output images, from 0 to 100. 100 is best quality, 0 is lowest quality.

Default: 80

Run this model in Node.js with one line of code:

npx create-replicate --model=ai-forever/kandinsky-2

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 ai-forever/kandinsky-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "ai-forever/kandinsky-2:3c6374e7a9a17e01afe306a5218cc67de55b19ea536466d6ea2602cfecea40a9",
  {
    input: {
      width: 512,
      height: 512,
      prompt: "red cat, 4k photo",
      scheduler: "p_sampler",
      batch_size: 1,
      prior_steps: "5",
      output_format: "webp",
      guidance_scale: 4,
      output_quality: 80,
      prior_cf_scale: 4,
      num_inference_steps: 50
    }
  }
);

// 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 ai-forever/kandinsky-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "ai-forever/kandinsky-2:3c6374e7a9a17e01afe306a5218cc67de55b19ea536466d6ea2602cfecea40a9",
    input={
        "width": 512,
        "height": 512,
        "prompt": "red cat, 4k photo",
        "scheduler": "p_sampler",
        "batch_size": 1,
        "prior_steps": "5",
        "output_format": "webp",
        "guidance_scale": 4,
        "output_quality": 80,
        "prior_cf_scale": 4,
        "num_inference_steps": 50
    }
)
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 ai-forever/kandinsky-2 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": "ai-forever/kandinsky-2:3c6374e7a9a17e01afe306a5218cc67de55b19ea536466d6ea2602cfecea40a9",
    "input": {
      "width": 512,
      "height": 512,
      "prompt": "red cat, 4k photo",
      "scheduler": "p_sampler",
      "batch_size": 1,
      "prior_steps": "5",
      "output_format": "webp",
      "guidance_scale": 4,
      "output_quality": 80,
      "prior_cf_scale": 4,
      "num_inference_steps": 50
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

No output yet! Press "Submit" to start a prediction.