yuni-eng/inpainting:a0c069d9 | Run with an API on Replicate

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yuni-eng /inpainting:a0c069d9

Playground API

Input

prompt

string

Shift + Return to add a new line

Input prompt

Default: "nike shoes in billboard"

negative_prompt

string

Shift + Return to add a new line

poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, disfigured, deformed, body out of frame, bad anatomy, signature, cut off, low contrast, underexposed, overexposed, bad art, beginner, amateur, distorted face, blurry, draft, grainypoorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, disfigured, deformed, body out of frame, bad anatomy, signature, cut off, low contrast, underexposed, overexposed, bad art, beginner, amateur, distorted face, blurry, draft, grainy

Specify things to not see in the output

Default: "poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, disfigured, deformed, body out of frame, bad anatomy, signature, cut off, low contrast, underexposed, overexposed, bad art, beginner, amateur, distorted face, blurry, draft, grainy"

image

file

Input image to inpaint.

mask

*file

Black and white image to use as mask for inpainting over the image provided. White-colored regions are inpainted and black-colored regions are preserved

num_outputs

integer

(minimum: 1, maximum: 4)

Number of images to output. > 2 might generate out-of-memory errors.

Default: 1

seed

integer

Random seed. Set to 0 to randomize the seed. If you need tweaks to a generated image, reuse the same seed number from output logs.

Default: 0

num_inference_steps

integer

(minimum: 1, maximum: 500)

Number of denoising steps. More denoising steps usually lead to a higher quality image at the expense of slower inference

Default: 100

guidance_scale

number

(minimum: 1, maximum: 20)

A higher guidance scale value generate images closely to the text prompt at the expense of lower image quality. Guidance scale is enabled when guidance_scale > 1.

Default: 7.5

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

npx create-replicate --model=yuni-eng/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";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

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

const output = await replicate.run(
  "yuni-eng/inpainting:a0c069d97614e475488a0d162eba0b7bdd023a4189b0dc93d47dfa200cbee8a8",
  {
    input: {
      seed: 0,
      prompt: "nike shoes in billboard",
      num_outputs: 1,
      guidance_scale: 7.5,
      negative_prompt: "poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, disfigured, deformed, body out of frame, bad anatomy, signature, cut off, low contrast, underexposed, overexposed, bad art, beginner, amateur, distorted face, blurry, draft, grainy",
      num_inference_steps: 100
    }
  }
);

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

output = replicate.run(
    "yuni-eng/inpainting:a0c069d97614e475488a0d162eba0b7bdd023a4189b0dc93d47dfa200cbee8a8",
    input={
        "seed": 0,
        "prompt": "nike shoes in billboard",
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "negative_prompt": "poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, disfigured, deformed, body out of frame, bad anatomy, signature, cut off, low contrast, underexposed, overexposed, bad art, beginner, amateur, distorted face, blurry, draft, grainy",
        "num_inference_steps": 100
    }
)

# 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 yuni-eng/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": "yuni-eng/inpainting:a0c069d97614e475488a0d162eba0b7bdd023a4189b0dc93d47dfa200cbee8a8",
    "input": {
      "seed": 0,
      "prompt": "nike shoes in billboard",
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "negative_prompt": "poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, disfigured, deformed, body out of frame, bad anatomy, signature, cut off, low contrast, underexposed, overexposed, bad art, beginner, amateur, distorted face, blurry, draft, grainy",
      "num_inference_steps": 100
    }
  }' \
  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.