usamaehsan/flux-multi-controlnet:d3ca311b – Run with an API on Replicate

Version

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usamaehsan /flux-multi-controlnet:d3ca311b

Input

prompt

string

Shift + Return to add a new line

A girl in city, 25 years old, cool, futuristicA girl in city, 25 years old, cool, futuristic

Input prompt

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

canny_image

file

Input image for Canny ControlNet

tile_image

file

Input image for Tile ControlNet

depth_image

file

Input image for Depth ControlNet

blur_image

file

Input image for Blur ControlNet

pose_image

file

Input image for Pose ControlNet

gray_image

file

Input image for Gray ControlNet

low_quality_image

file

Input image for Low Quality ControlNet

guidance_scale

number

(minimum: 0, maximum: 20)

Guidance scale

Default: 3.5

steps

integer

(minimum: 1, maximum: 50)

Number of inference steps

Default: 8

seed

integer

Set a seed for reproducibility. Random by default.

canny_strength

number

(minimum: 0, maximum: 2)

Canny ControlNet strength

Default: 0.6

tile_strength

number

(minimum: 0, maximum: 2)

Tile ControlNet strength

Default: 0.6

depth_strength

number

(minimum: 0, maximum: 2)

Depth ControlNet strength

Default: 0.6

blur_strength

number

(minimum: 0, maximum: 2)

Blur ControlNet strength

Default: 0.6

pose_strength

number

(minimum: 0, maximum: 2)

Pose ControlNet strength

Default: 0.6

gray_strength

number

(minimum: 0, maximum: 2)

Gray ControlNet strength

Default: 0.6

low_quality_strength

number

(minimum: 0, maximum: 2)

Low Quality ControlNet strength

Default: 0.6

hyperflex_lora_weight

number

(minimum: 0, maximum: 1)

HyperFlex LoRA weight

Default: 0.125

add_details_lora_weight

number

(minimum: 0, maximum: 1)

Add Details LoRA weight

Default: 0

realism_lora_weight

number

(minimum: 0, maximum: 1)

Realism LoRA weight

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";

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:d3ca311b4e3b4f4ef84f66c6316670cd4c81fdedf7f25afcf743593a0be2eee3",
  {
    input: {
      steps: 8,
      prompt: "A girl in city, 25 years old, cool, futuristic",
      widthh: 0,
      heightt: 0,
      blur_strength: 0.6,
      gray_strength: 0.6,
      pose_strength: 0.6,
      tile_strength: 0.6,
      canny_strength: 0.6,
      depth_strength: 0.6,
      guidance_scale: 3.5,
      realism_lora_weight: 0,
      low_quality_strength: 0.6,
      hyperflex_lora_weight: 0.125,
      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:d3ca311b4e3b4f4ef84f66c6316670cd4c81fdedf7f25afcf743593a0be2eee3",
    input={
        "steps": 8,
        "prompt": "A girl in city, 25 years old, cool, futuristic",
        "widthh": 0,
        "heightt": 0,
        "blur_strength": 0.6,
        "gray_strength": 0.6,
        "pose_strength": 0.6,
        "tile_strength": 0.6,
        "canny_strength": 0.6,
        "depth_strength": 0.6,
        "guidance_scale": 3.5,
        "realism_lora_weight": 0,
        "low_quality_strength": 0.6,
        "hyperflex_lora_weight": 0.125,
        "add_details_lora_weight": 0
    }
)
print(output)

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:d3ca311b4e3b4f4ef84f66c6316670cd4c81fdedf7f25afcf743593a0be2eee3",
    "input": {
      "steps": 8,
      "prompt": "A girl in city, 25 years old, cool, futuristic",
      "widthh": 0,
      "heightt": 0,
      "blur_strength": 0.6,
      "gray_strength": 0.6,
      "pose_strength": 0.6,
      "tile_strength": 0.6,
      "canny_strength": 0.6,
      "depth_strength": 0.6,
      "guidance_scale": 3.5,
      "realism_lora_weight": 0,
      "low_quality_strength": 0.6,
      "hyperflex_lora_weight": 0.125,
      "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.