zhangp365/flux_loras:68aad9dc | Run with an API on Replicate

Version

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zhangp365 /flux_loras:68aad9dc

Playground API Setup logs

Input

prompt

string

Shift + Return to add a new line

Enter a text prompt to guide image generation.

Default: ""

height

integer

(minimum: 0, maximum: 1600)

The height will decide by the first spatial image. no need to set it.

Default: 0

width

integer

(minimum: 0, maximum: 1600)

The width will decide by the first spatial image. no need to set it.

Default: 0

seed

integer

Set a random seed for generation (-1 for random).

Default: 42

use_zero_init

boolean

Use CFG zero star.

Default: true

zero_steps

integer

(minimum: 0)

Zero init steps.

Default: 1

spatial_img

*file

spatial control image.

control_type

string

Control type (now only support two types, pose and mine_craft).

Default: "Ghibli"

control_weight

number

Control weights (must correspond to the control type).

Default: 1

extra_spatial_img

file

extra spatial control image.

extra_control_type

string

Extra control type (now only support two types, pose and mine_craft).

extra_control_weight

number

Extra control weights (must correspond to the extra control type).

Default: 1

output_format

string

Choose the format of the output images.

Default: "png"

output_quality

integer

(minimum: 1, maximum: 100)

Set the quality of the output image for jpg and webp (1-100).

Default: 90

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

npx create-replicate --model=zhangp365/flux_loras

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 zhangp365/flux_loras using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "zhangp365/flux_loras:68aad9dc5029f730f595cd1a60488e6b3ce8601a897f639450788dfe122eb67c",
  {
    input: {
      seed: 42,
      width: 0,
      height: 0,
      prompt: "",
      zero_steps: 1,
      control_type: "Ghibli",
      output_format: "png",
      use_zero_init: true,
      control_weight: 1,
      output_quality: 90,
      extra_control_type: "Ghibli",
      extra_control_weight: 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 zhangp365/flux_loras using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "zhangp365/flux_loras:68aad9dc5029f730f595cd1a60488e6b3ce8601a897f639450788dfe122eb67c",
    input={
        "seed": 42,
        "width": 0,
        "height": 0,
        "prompt": "",
        "zero_steps": 1,
        "control_type": "Ghibli",
        "output_format": "png",
        "use_zero_init": True,
        "control_weight": 1,
        "output_quality": 90,
        "extra_control_type": "Ghibli",
        "extra_control_weight": 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 zhangp365/flux_loras 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": "zhangp365/flux_loras:68aad9dc5029f730f595cd1a60488e6b3ce8601a897f639450788dfe122eb67c",
    "input": {
      "seed": 42,
      "width": 0,
      "height": 0,
      "prompt": "",
      "zero_steps": 1,
      "control_type": "Ghibli",
      "output_format": "png",
      "use_zero_init": true,
      "control_weight": 1,
      "output_quality": 90,
      "extra_control_type": "Ghibli",
      "extra_control_weight": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

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