zsxkib/patch-fusion:db14d618 | Run with an API on Replicate

Version

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zsxkib /patch-fusion:db14d618

Playground API

Input

input_image

file

Input image

prompt

string

Shift + Return to add a new line

A cozy cottage in an oil painting, with rich textures and vibrant green foliageA cozy cottage in an oil painting, with rich textures and vibrant green foliage

Prompt

Default: "A cozy cottage in an oil painting, with rich textures and vibrant green foliage"

a_prompt

string

Shift + Return to add a new line

Added prompt

Default: "best quality, extremely detailed"

n_prompt

string

Shift + Return to add a new line

worst quality, low quality, lose detailsworst quality, low quality, lose details

Negative prompt

Default: "worst quality, low quality, lose details"

image_resolution

integer

(minimum: 256, maximum: 896)

ControlNet image resolution

Default: 896

ddim_steps

integer

(minimum: 1, maximum: 50)

Number of steps

Default: 20

guess_mode

boolean

Guess Mode

Default: false

strength

number

(minimum: 0, maximum: 2)

Control strength

Default: 1

scale

number

(minimum: 0.1, maximum: 50)

Guidance scale

Default: 9

seed

integer

Random seed. Leave blank to randomize the seed

eta

number

Eta (DDIM)

Default: 0

mode

string

Tiling mode

Default: "P49"

patch_number

integer

(minimum: 1, maximum: 256)

Number of random patches

Default: 256

resolution_h

integer

(minimum: 256, maximum: 2700)

Processing resolution height

Default: 2160

resolution_w

integer

(minimum: 256, maximum: 4800)

Processing resolution width

Default: 3840

patch_size_h

integer

(minimum: 256, maximum: 675)

Patch size height

Default: 540

patch_size_w

integer

(minimum: 256, maximum: 1200)

Patch size width

Default: 960

color_map

string

Colormap used to render depth map

Default: "magma"

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

npx create-replicate --model=zsxkib/patch-fusion

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 zsxkib/patch-fusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "zsxkib/patch-fusion:db14d618e1a28b48decb7c91ff550d2f07e66cdb632630a65716f9be73c4d0ad",
  {
    input: {
      eta: 0,
      mode: "P49",
      scale: 9,
      prompt: "A cozy cottage in an oil painting, with rich textures and vibrant green foliage",
      a_prompt: "best quality, extremely detailed",
      n_prompt: "worst quality, low quality, lose details",
      strength: 1,
      color_map: "magma",
      ddim_steps: 20,
      guess_mode: false,
      patch_number: 256,
      patch_size_h: 540,
      patch_size_w: 960,
      resolution_h: 2160,
      resolution_w: 3840,
      image_resolution: 896
    }
  }
);

// 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 zsxkib/patch-fusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "zsxkib/patch-fusion:db14d618e1a28b48decb7c91ff550d2f07e66cdb632630a65716f9be73c4d0ad",
    input={
        "eta": 0,
        "mode": "P49",
        "scale": 9,
        "prompt": "A cozy cottage in an oil painting, with rich textures and vibrant green foliage",
        "a_prompt": "best quality, extremely detailed",
        "n_prompt": "worst quality, low quality, lose details",
        "strength": 1,
        "color_map": "magma",
        "ddim_steps": 20,
        "guess_mode": False,
        "patch_number": 256,
        "patch_size_h": 540,
        "patch_size_w": 960,
        "resolution_h": 2160,
        "resolution_w": 3840,
        "image_resolution": 896
    }
)

# 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 zsxkib/patch-fusion 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": "zsxkib/patch-fusion:db14d618e1a28b48decb7c91ff550d2f07e66cdb632630a65716f9be73c4d0ad",
    "input": {
      "eta": 0,
      "mode": "P49",
      "scale": 9,
      "prompt": "A cozy cottage in an oil painting, with rich textures and vibrant green foliage",
      "a_prompt": "best quality, extremely detailed",
      "n_prompt": "worst quality, low quality, lose details",
      "strength": 1,
      "color_map": "magma",
      "ddim_steps": 20,
      "guess_mode": false,
      "patch_number": 256,
      "patch_size_h": 540,
      "patch_size_w": 960,
      "resolution_h": 2160,
      "resolution_w": 3840,
      "image_resolution": 896
    }
  }' \
  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.