delta-lock/ponynai3:6e9aaa1b – Run with an API on Replicate

Version

You're looking at a specific version of this model. Jump to the model overview.

delta-lock /ponynai3:6e9aaa1b

Playground API Setup logs

Input

model

string

The model to use

Default: "tPonynai3_v65"

vae

string

The VAE to use

Default: "default"

prompt

string

Shift + Return to add a new line

The prompt

Default: "1girl"

image

file

The image for image to image or as the base for inpainting (Will be scaled then cropped to the set width and height)

mask

file

The mask for inpainting, white areas will be modified and black preserved (Will be scaled then cropped to the set width and height)

lora_url

string

Shift + Return to add a new line

The URL to the LoRA (Will download the weights, might take a while if the LoRA is huge or the download is slow, WILL CHARGE WHEN DOWNLOADING)

negative_prompt

string

Shift + Return to add a new line

The negative prompt (For things you don't want)

Default: "animal, cat, dog, big breasts"

prepend_preprompt

boolean

Prepend preprompt (Prompt: "score_9, score_8_up, score_7_up, " Negative prompt: "score_4, score_3, score_2, score_1, worst quality, bad hands, bad feet, ").

Default: true

scheduler

string

The scheduler to use

Default: "DPM++ 2M SDE Karras"

steps

integer

(minimum: 1, maximum: 100)

The steps when generating

Default: 35

cfg_scale

number

(minimum: 1, maximum: 50)

CFG Scale defines how much attention the model pays to the prompt when generating

Default: 7

guidance_rescale

number

(minimum: 0, maximum: 5)

The amount to rescale CFG generated noise to avoid generating overexposed images

Default: 0.7

width

integer

(minimum: 1, maximum: 4096)

The width of the image

Default: 1184

height

integer

(minimum: 1, maximum: 4096)

The height of the image

Default: 864

strength

number

(minimum: 0, maximum: 1)

How much noise to add (For image to image and inpainting only, larger value indicates more noise added to the input image)

Default: 0.7

blur_factor

number

(minimum: 0)

The factor to blur the inpainting mask for smoother transition between masked and unmasked

Default: 5

batch_size

integer

(minimum: 1, maximum: 4)

Number of images to generate (1-4)

Default: 1

seed

integer

The seed used when generating, set to -1 for random seed

Default: -1

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

npx create-replicate --model=delta-lock/ponynai3

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 delta-lock/ponynai3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "delta-lock/ponynai3:6e9aaa1b5357bbed6cc47ac112c922584e06b7c51465620689419d3a26baa279",
  {
    input: {
      vae: "default",
      seed: -1,
      model: "tPonynai3_v65",
      steps: 35,
      width: 1184,
      height: 864,
      prompt: "1girl",
      strength: 0.7,
      cfg_scale: 7,
      scheduler: "DPM++ 2M SDE Karras",
      batch_size: 1,
      blur_factor: 5,
      negative_prompt: "animal, cat, dog, big breasts",
      guidance_rescale: 0.7,
      prepend_preprompt: true
    }
  }
);

// 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 delta-lock/ponynai3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "delta-lock/ponynai3:6e9aaa1b5357bbed6cc47ac112c922584e06b7c51465620689419d3a26baa279",
    input={
        "vae": "default",
        "seed": -1,
        "model": "tPonynai3_v65",
        "steps": 35,
        "width": 1184,
        "height": 864,
        "prompt": "1girl",
        "strength": 0.7,
        "cfg_scale": 7,
        "scheduler": "DPM++ 2M SDE Karras",
        "batch_size": 1,
        "blur_factor": 5,
        "negative_prompt": "animal, cat, dog, big breasts",
        "guidance_rescale": 0.7,
        "prepend_preprompt": True
    }
)
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 delta-lock/ponynai3 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": "delta-lock/ponynai3:6e9aaa1b5357bbed6cc47ac112c922584e06b7c51465620689419d3a26baa279",
    "input": {
      "vae": "default",
      "seed": -1,
      "model": "tPonynai3_v65",
      "steps": 35,
      "width": 1184,
      "height": 864,
      "prompt": "1girl",
      "strength": 0.7,
      "cfg_scale": 7,
      "scheduler": "DPM++ 2M SDE Karras",
      "batch_size": 1,
      "blur_factor": 5,
      "negative_prompt": "animal, cat, dog, big breasts",
      "guidance_rescale": 0.7,
      "prepend_preprompt": true
    }
  }' \
  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.