fermatresearch/flux-controlnet-inpaint:46ae77d1

Version

You're looking at a specific version of this model. Jump to the model overview.

fermatresearch /flux-controlnet-inpaint:46ae77d1

Playground API

Input

prompt

*string

Shift + Return to add a new line

Prompt for generated image

conditioning_scale

number

(minimum: 0, maximum: 1)

ControlNet strength, depth works best at 0.2, canny works best at 0.4. Recommended range is 0.3-0.8

Default: 0.5

image

file

The image to restyle

control_image

file

The image to control the generation

mask

file

The area to inpaint

strength

number

(minimum: 0, maximum: 1)

Img2Img strength

Default: 0.8

guidance_scale

number

(minimum: 0, maximum: 30)

Guidance scale

Default: 3.5

enable_hyper_flux_8_step

boolean

Whether to use Hyper-FLUX.1-dev-8steps or not. If False, make sure to increase your number of inference steps

Default: true

num_inference_steps

integer

(minimum: 1, maximum: 28)

Number of inference steps

Default: 8

seed

integer

Random seed. Set for reproducible generation

output_format

string

Format of the output images

Default: "jpg"

output_quality

integer

(minimum: 0, maximum: 100)

Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs

Default: 100

lora_weights

string

Shift + Return to add a new line

Huggingface path, or URL to the LoRA weights. Ex: alvdansen/frosting_lane_flux

lora_scale

number

(minimum: 0, maximum: 1)

Scale for the LoRA weights

Default: 0.8

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

npx create-replicate --model=fermatresearch/flux-controlnet-inpaint

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

const output = await replicate.run(
  "fermatresearch/flux-controlnet-inpaint:46ae77d1d148dca1bd61c1215e99ee692c4cf01289a2bba681b14a58c04bda8f",
  {
    input: {
      strength: 0.8,
      lora_scale: 0.8,
      output_format: "jpg",
      guidance_scale: 3.5,
      output_quality: 100,
      conditioning_scale: 0.5,
      num_inference_steps: 8,
      enable_hyper_flux_8_step: true
    }
  }
);
console.log(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 fermatresearch/flux-controlnet-inpaint using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fermatresearch/flux-controlnet-inpaint:46ae77d1d148dca1bd61c1215e99ee692c4cf01289a2bba681b14a58c04bda8f",
    input={
        "strength": 0.8,
        "lora_scale": 0.8,
        "output_format": "jpg",
        "guidance_scale": 3.5,
        "output_quality": 100,
        "conditioning_scale": 0.5,
        "num_inference_steps": 8,
        "enable_hyper_flux_8_step": True
    }
)
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 fermatresearch/flux-controlnet-inpaint 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": "46ae77d1d148dca1bd61c1215e99ee692c4cf01289a2bba681b14a58c04bda8f",
    "input": {
      "strength": 0.8,
      "lora_scale": 0.8,
      "output_format": "jpg",
      "guidance_scale": 3.5,
      "output_quality": 100,
      "conditioning_scale": 0.5,
      "num_inference_steps": 8,
      "enable_hyper_flux_8_step": true
    }
  }' \
  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.