hunkim98/kandinsky-2-1:9b2c5164 | Run with an API on Replicate

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hunkim98 /kandinsky-2-1:9b2c5164

Playground API

Input

task

string

Choose a task

Default: "text2img"

prompt

string

Shift + Return to add a new line

A alien cheeseburger creature eating itself, claymation, cinematic, moody lightingA alien cheeseburger creature eating itself, claymation, cinematic, moody lighting

Provide input prompt

Default: "A alien cheeseburger creature eating itself, claymation, cinematic, moody lighting"

negative_prompt

string

Shift + Return to add a new line

Specify things to not see in the output for text2img and text_guided_img2img tasks

Default: "low quality, bad quality"

image

file

Input image for text_guided_img2img task

mask

file

Mask for inpainting task

strength

number

(minimum: 0, maximum: 1)

indicates how much to transform the input iamge, valid for text_guided_img2img task.

Default: 0.3

width

integer

(minimum: 128, maximum: 1024)

Width of output image. Reduce the seeting if hits memory limits

Default: 256

height

integer

(minimum: 128, maximum: 1024)

Height of output image. Reduce the seeting if hits memory limits

Default: 256

num_outputs

integer

(minimum: 1, maximum: 4)

Number of images to output.

Default: 1

num_steps_prior

integer

(minimum: 1, maximum: 500)

Number of denoising steps in prior

Default: 25

num_inference_steps

integer

(minimum: 1, maximum: 500)

Number of denoising steps

Default: 100

guidance_scale

number

(minimum: 1, maximum: 20)

Scale for classifier-free guidance

Default: 4

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=hunkim98/kandinsky-2-1

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";
import fs from "node:fs";

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

Run hunkim98/kandinsky-2-1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "hunkim98/kandinsky-2-1:9b2c5164e6bf7cb168f3d3228740fcc00b6a766e5e9f71fab35178ff8d786b8f",
  {
    input: {
      task: "text2img",
      width: 256,
      height: 256,
      prompt: "A alien cheeseburger creature eating itself, claymation, cinematic, moody lighting",
      strength: 0.3,
      num_outputs: 1,
      guidance_scale: 4,
      negative_prompt: "low quality, bad quality",
      num_steps_prior: 25,
      num_inference_steps: 100
    }
  }
);

// 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 hunkim98/kandinsky-2-1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "hunkim98/kandinsky-2-1:9b2c5164e6bf7cb168f3d3228740fcc00b6a766e5e9f71fab35178ff8d786b8f",
    input={
        "task": "text2img",
        "width": 256,
        "height": 256,
        "prompt": "A alien cheeseburger creature eating itself, claymation, cinematic, moody lighting",
        "strength": 0.3,
        "num_outputs": 1,
        "guidance_scale": 4,
        "negative_prompt": "low quality, bad quality",
        "num_steps_prior": 25,
        "num_inference_steps": 100
    }
)

# 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=<paste-your-token-here>

Find your API token in your account settings.

Run hunkim98/kandinsky-2-1 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": "hunkim98/kandinsky-2-1:9b2c5164e6bf7cb168f3d3228740fcc00b6a766e5e9f71fab35178ff8d786b8f",
    "input": {
      "task": "text2img",
      "width": 256,
      "height": 256,
      "prompt": "A alien cheeseburger creature eating itself, claymation, cinematic, moody lighting",
      "strength": 0.3,
      "num_outputs": 1,
      "guidance_scale": 4,
      "negative_prompt": "low quality, bad quality",
      "num_steps_prior": 25,
      "num_inference_steps": 100
    }
  }' \
  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.