usamaehsan/flux-multi-controlnet:c8b12b62 | Run with an API on Replicate

Version

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usamaehsan /flux-multi-controlnet:c8b12b62

Input

prompt

string

Shift + Return to add a new line

A girl in city, 25 years old, cool, futuristic styleA girl in city, 25 years old, cool, futuristic style

The text prompt that guides image generation

Default: "A girl in city, 25 years old, cool, futuristic style"

canny_image

file

Input image for Canny ControlNet

depth_image

file

Input image for Depth ControlNet

lineart_image

file

Input image for Lineart ControlNet

upscaler_image

file

Input image for Upscaler ControlNet

canny_detector_type

string

Detector type to use with Canny ControlNet

Default: "canny"

depth_detector_type

string

Detector type to use with Depth ControlNet

Default: "depth"

lineart_detector_type

string

Detector type to use with Lineart ControlNet

Default: "lineart"

canny_strength

number

(minimum: 0, maximum: 2)

Strength for Canny ControlNet

Default: 0.6

depth_strength

number

(minimum: 0, maximum: 2)

Strength for Depth ControlNet

Default: 0.6

lineart_strength

number

(minimum: 0, maximum: 2)

Strength for Lineart ControlNet

Default: 0.6

upscaler_strength

number

(minimum: 0, maximum: 2)

Strength for Upscaler ControlNet

Default: 0.6

guidance_scale

number

(minimum: 0, maximum: 20)

Controls how closely the image follows the prompt

Default: 3.5

steps

integer

(minimum: 1, maximum: 50)

Number of denoising steps

Default: 8

seed

integer

Random seed for reproducibility

hyperflex_lora_weight

number

(minimum: 0, maximum: 1)

Weight of the HyperFlex LoRA adaptation

Default: 0.125

add_details_lora_weight

number

(minimum: 0, maximum: 1)

Weight of the Add Details LoRA adaptation

Default: 0

realism_lora_weight

number

(minimum: 0, maximum: 1)

Weight of the Realism LoRA adaptation

Default: 0

Including widthh and 1 more...

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

npx create-replicate --model=usamaehsan/flux-multi-controlnet

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

const output = await replicate.run(
  "usamaehsan/flux-multi-controlnet:c8b12b625f5f2ff82df9c432a7da0840d5f9826320bfb33795a06e61063ed104",
  {
    input: {
      steps: 8,
      prompt: "A girl in city, 25 years old, cool, futuristic style",
      widthh: 0,
      heightt: 0,
      canny_strength: 0.6,
      depth_strength: 0.6,
      guidance_scale: 3.5,
      lineart_strength: 0.6,
      upscaler_strength: 0.6,
      canny_detector_type: "canny",
      depth_detector_type: "depth",
      realism_lora_weight: 0,
      hyperflex_lora_weight: 0.125,
      lineart_detector_type: "lineart",
      add_details_lora_weight: 0
    }
  }
);

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

output = replicate.run(
    "usamaehsan/flux-multi-controlnet:c8b12b625f5f2ff82df9c432a7da0840d5f9826320bfb33795a06e61063ed104",
    input={
        "steps": 8,
        "prompt": "A girl in city, 25 years old, cool, futuristic style",
        "widthh": 0,
        "heightt": 0,
        "canny_strength": 0.6,
        "depth_strength": 0.6,
        "guidance_scale": 3.5,
        "lineart_strength": 0.6,
        "upscaler_strength": 0.6,
        "canny_detector_type": "canny",
        "depth_detector_type": "depth",
        "realism_lora_weight": 0,
        "hyperflex_lora_weight": 0.125,
        "lineart_detector_type": "lineart",
        "add_details_lora_weight": 0
    }
)

# 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 usamaehsan/flux-multi-controlnet 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": "usamaehsan/flux-multi-controlnet:c8b12b625f5f2ff82df9c432a7da0840d5f9826320bfb33795a06e61063ed104",
    "input": {
      "steps": 8,
      "prompt": "A girl in city, 25 years old, cool, futuristic style",
      "widthh": 0,
      "heightt": 0,
      "canny_strength": 0.6,
      "depth_strength": 0.6,
      "guidance_scale": 3.5,
      "lineart_strength": 0.6,
      "upscaler_strength": 0.6,
      "canny_detector_type": "canny",
      "depth_detector_type": "depth",
      "realism_lora_weight": 0,
      "hyperflex_lora_weight": 0.125,
      "lineart_detector_type": "lineart",
      "add_details_lora_weight": 0
    }
  }' \
  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.