smoretalk/flamel-inpainting – Run with an API on Replicate

Input

init_image

file

Preview

Input original image for inpainting.

mask_image

file

Preview

Input mask image for inpainting.

prompt

string

Shift + Return to add a new line

Input prompt.

negative_prompt

string

Shift + Return to add a new line

Input negative prompt.

num_inference_steps

integer

(minimum: 1, maximum: 50)

Number of denoising steps.

Default: 25

num_images_per_prompt

integer

(minimum: 1, maximum: 4)

Number of outputs.

Default: 1

guidance_scale

number

(minimum: 0, maximum: 20)

Scale for classifier-free guidance.

Default: 6

strength

number

(minimum: 0, maximum: 1)

Scale for denoising.

Default: 0.99

seed

integer

Random seed. Leave blank to randomize the seed.

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

npx create-replicate --model=smoretalk/flamel-inpainting

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 smoretalk/flamel-inpainting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "smoretalk/flamel-inpainting:e3aa6e1f8818e00e682804f4d0b2eb8062642b69b73fa8569c414781f15ac0e5",
  {
    input: {
      prompt: "A cat",
      strength: 0.99,
      init_image: "https://replicate.delivery/pbxt/LiFs7DmGM9L6CxF6ydycrt8wH0mAaRXyyzY1s2UkHZBqg34R/binary%20%283%29.png",
      mask_image: "https://replicate.delivery/pbxt/LiFs8472d5c1BuJTd66RhSoOMIaRqc310xRstSpDrwoH3KdT/mask-1725956473279.png",
      guidance_scale: 1.5,
      num_inference_steps: 8,
      num_images_per_prompt: 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 smoretalk/flamel-inpainting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "smoretalk/flamel-inpainting:e3aa6e1f8818e00e682804f4d0b2eb8062642b69b73fa8569c414781f15ac0e5",
    input={
        "prompt": "A cat",
        "strength": 0.99,
        "init_image": "https://replicate.delivery/pbxt/LiFs7DmGM9L6CxF6ydycrt8wH0mAaRXyyzY1s2UkHZBqg34R/binary%20%283%29.png",
        "mask_image": "https://replicate.delivery/pbxt/LiFs8472d5c1BuJTd66RhSoOMIaRqc310xRstSpDrwoH3KdT/mask-1725956473279.png",
        "guidance_scale": 1.5,
        "num_inference_steps": 8,
        "num_images_per_prompt": 1
    }
)
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 smoretalk/flamel-inpainting 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": "smoretalk/flamel-inpainting:e3aa6e1f8818e00e682804f4d0b2eb8062642b69b73fa8569c414781f15ac0e5",
    "input": {
      "prompt": "A cat",
      "strength": 0.99,
      "init_image": "https://replicate.delivery/pbxt/LiFs7DmGM9L6CxF6ydycrt8wH0mAaRXyyzY1s2UkHZBqg34R/binary%20%283%29.png",
      "mask_image": "https://replicate.delivery/pbxt/LiFs8472d5c1BuJTd66RhSoOMIaRqc310xRstSpDrwoH3KdT/mask-1725956473279.png",
      "guidance_scale": 1.5,
      "num_inference_steps": 8,
      "num_images_per_prompt": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/smoretalk/flamel-inpainting@sha256:e3aa6e1f8818e00e682804f4d0b2eb8062642b69b73fa8569c414781f15ac0e5 \
  -i 'prompt="A cat"' \
  -i 'strength=0.99' \
  -i 'init_image="https://replicate.delivery/pbxt/LiFs7DmGM9L6CxF6ydycrt8wH0mAaRXyyzY1s2UkHZBqg34R/binary%20%283%29.png"' \
  -i 'mask_image="https://replicate.delivery/pbxt/LiFs8472d5c1BuJTd66RhSoOMIaRqc310xRstSpDrwoH3KdT/mask-1725956473279.png"' \
  -i 'guidance_scale=1.5' \
  -i 'num_inference_steps=8' \
  -i 'num_images_per_prompt=1'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/smoretalk/flamel-inpainting@sha256:e3aa6e1f8818e00e682804f4d0b2eb8062642b69b73fa8569c414781f15ac0e5
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "prompt": "A cat",
      "strength": 0.99,
      "init_image": "https://replicate.delivery/pbxt/LiFs7DmGM9L6CxF6ydycrt8wH0mAaRXyyzY1s2UkHZBqg34R/binary%20%283%29.png",
      "mask_image": "https://replicate.delivery/pbxt/LiFs8472d5c1BuJTd66RhSoOMIaRqc310xRstSpDrwoH3KdT/mask-1725956473279.png",
      "guidance_scale": 1.5,
      "num_inference_steps": 8,
      "num_images_per_prompt": 1
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.