zust-ai/zust-diffusion:7f487e16 | Run with an API on Replicate

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zust-ai /zust-diffusion:7f487e16

Playground API

Input

is_heartbeat

boolean

Check if server alive

Default: false

pipe_type

string

Shift + Return to add a new line

txt2img or img2img or multi_txt2img or multi_img2img

Default: "txt2img"

width

integer

Width of the output image

Default: 768

height

integer

Height of the output image

Default: 768

prompt

string

Shift + Return to add a new line

standing on a dark marble platform, heavy shadow, in an outdoor patio, plants, flowers, fairy lightsstanding on a dark marble platform, heavy shadow, in an outdoor patio, plants, flowers, fairy lights

Prompt

Default: "standing on a dark marble platform, heavy shadow, in an outdoor patio, plants, flowers, fairy lights"

negative_prompt

string

Shift + Return to add a new line

text, signature, watermark, epic_negative:0.9text, signature, watermark, epic_negative:0.9

Negative prompt

Default: "text, signature, watermark, epic_negative:0.9"

num_images_per_prompt

integer

(minimum: 1)

Number of generations

Default: 1

num_inference_steps

integer

(minimum: 1)

Iterations

Default: 30

seed

integer

Seed

prompt_strength

number

(minimum: 1)

Prompt strength

Default: 5

with_detail

boolean

Detailed output

Default: false

subjects

string

Shift + Return to add a new line

[{"top": 0.15885416666666666, "left": 0.2916666666666667, "scale": 0.0013020833333333333, "image_url": "https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/test_subject.png"}][{"top": 0.15885416666666666, "left": 0.2916666666666667, "scale": 0.0013020833333333333, "image_url": "https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/test_subject.png"}]

Subject placement settings and image urls

Default: "[{\"top\": 0.15885416666666666, \"left\": 0.2916666666666667, \"scale\": 0.0013020833333333333, \"image_url\": \"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/test_subject.png\"}]"

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

npx create-replicate --model=zust-ai/zust-diffusion

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

const output = await replicate.run(
  "zust-ai/zust-diffusion:7f487e1667bd2875d31863cbd177debae0a30132c747f4893262d8857bb54561",
  {
    input: {
      width: 768,
      height: 768,
      prompt: "standing on a dark marble platform, heavy shadow, in an outdoor patio, plants, flowers, fairy lights",
      subjects: "[{\"top\": 0.15885416666666666, \"left\": 0.2916666666666667, \"scale\": 0.0013020833333333333, \"image_url\": \"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/test_subject.png\"}]",
      pipe_type: "txt2img",
      with_detail: false,
      is_heartbeat: false,
      negative_prompt: "text, signature, watermark, epic_negative:0.9",
      prompt_strength: 5,
      num_inference_steps: 30,
      num_images_per_prompt: 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

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

output = replicate.run(
    "zust-ai/zust-diffusion:7f487e1667bd2875d31863cbd177debae0a30132c747f4893262d8857bb54561",
    input={
        "width": 768,
        "height": 768,
        "prompt": "standing on a dark marble platform, heavy shadow, in an outdoor patio, plants, flowers, fairy lights",
        "subjects": "[{\"top\": 0.15885416666666666, \"left\": 0.2916666666666667, \"scale\": 0.0013020833333333333, \"image_url\": \"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/test_subject.png\"}]",
        "pipe_type": "txt2img",
        "with_detail": False,
        "is_heartbeat": False,
        "negative_prompt": "text, signature, watermark, epic_negative:0.9",
        "prompt_strength": 5,
        "num_inference_steps": 30,
        "num_images_per_prompt": 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.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run zust-ai/zust-diffusion 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": "zust-ai/zust-diffusion:7f487e1667bd2875d31863cbd177debae0a30132c747f4893262d8857bb54561",
    "input": {
      "width": 768,
      "height": 768,
      "prompt": "standing on a dark marble platform, heavy shadow, in an outdoor patio, plants, flowers, fairy lights",
      "subjects": "[{\\"top\\": 0.15885416666666666, \\"left\\": 0.2916666666666667, \\"scale\\": 0.0013020833333333333, \\"image_url\\": \\"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/test_subject.png\\"}]",
      "pipe_type": "txt2img",
      "with_detail": false,
      "is_heartbeat": false,
      "negative_prompt": "text, signature, watermark, epic_negative:0.9",
      "prompt_strength": 5,
      "num_inference_steps": 30,
      "num_images_per_prompt": 1
    }
  }' \
  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.