zenaivn/lora-flux | Run with an API on Replicate

Input

lora_replicate_link

string

Shift + Return to add a new line

(Optional) Enter your lora replicate link for inference. In case you don't have your own, here is a test link: https://replicate.delivery/pbxt/mu6jfnIIdQWIMKpBXRX3AkRltbjmwEX7kERNInQptcSM3VIJA/output.zip

prompt

string

Shift + Return to add a new line

a professional photo portrait of ohwx womana professional photo portrait of ohwx woman

Input prompt

Default: "a professional photo portrait of ohwx woman"

width

integer

Width of output image.

Default: 512

height

integer

Height of output image.s

Default: 640

num_outputs

integer

(minimum: 1, maximum: 20)

Number of images to output.

Default: 1

num_inference_steps

integer

(minimum: 1, maximum: 500)

Number of denoising steps

Default: 30

guidance_scale

number

(minimum: 1, maximum: 20)

Scale for classifier-free guidance

Default: 3.5

upscale_2x

boolean

Choose if you want to upscale the image using RealESRGAN 2x

Default: false

upscale_4x

boolean

Choose if you want to upscale the image using RealESRGAN 4x

Default: false

seed

integer

Your seed for training script.

Default: 1337

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

npx create-replicate --model=zenaivn/lora-flux

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 zenaivn/lora-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "zenaivn/lora-flux:8e3faadf76670e423c731d68bb7a4ffd058a8e8db4e9ea0d83fa27a111c7bf8c",
  {
    input: {
      seed: 1337,
      width: 512,
      height: 640,
      prompt: "a professional photo portrait of ohwx woman",
      upscale_2x: false,
      upscale_4x: false,
      num_outputs: 1,
      guidance_scale: 3.5,
      num_inference_steps: 30
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output);

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 zenaivn/lora-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "zenaivn/lora-flux:8e3faadf76670e423c731d68bb7a4ffd058a8e8db4e9ea0d83fa27a111c7bf8c",
    input={
        "seed": 1337,
        "width": 512,
        "height": 640,
        "prompt": "a professional photo portrait of ohwx woman",
        "upscale_2x": False,
        "upscale_4x": False,
        "num_outputs": 1,
        "guidance_scale": 3.5,
        "num_inference_steps": 30
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.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 zenaivn/lora-flux 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": "zenaivn/lora-flux:8e3faadf76670e423c731d68bb7a4ffd058a8e8db4e9ea0d83fa27a111c7bf8c",
    "input": {
      "seed": 1337,
      "width": 512,
      "height": 640,
      "prompt": "a professional photo portrait of ohwx woman",
      "upscale_2x": false,
      "upscale_4x": false,
      "num_outputs": 1,
      "guidance_scale": 3.5,
      "num_inference_steps": 30
    }
  }' \
  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.

Run time and cost

This model runs on Nvidia A100 (80GB) GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.