afiaka87/ldm-autoedit:bdd8cf66 | Run with an API on Replicate

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afiaka87 /ldm-autoedit:bdd8cf66

Playground API

Input

text

string

Shift + Return to add a new line

(optional) Text to use for the model's prediction.

Default: ""

edit

string

Shift + Return to add a new line

path to the image you want to edit

Default: ""

negative

string

Shift + Return to add a new line

(optional) Negate the model's prediction for this text from the model's prediction for the target text.

Default: ""

aesthetic_rating

integer

(minimum: 0, maximum: 9)

Number between 0 and 9 representing the aesthetic rating. Will initialize the prompt CLIP embed with the respective aesthetic embed.

Default: 9

aesthetic_weight

number

(minimum: 0, maximum: 1)

Weight of the aesthetic embedding in the average prompt embedding.

Default: 0.5

batch_size

integer

Batch size.

Default: 1

width

integer

Target width

Default: 256

height

integer

Target height

Default: 256

iterations

integer

(minimum: 25)

Number of iterations to run the model for.

Default: 25

starting_radius

number

(minimum: 0.1)

size of noise blur at the start of editing (larger = coarser changes)

Default: 5

ending_radius

number

(minimum: 0.1, maximum: 5)

size of noise blur at the end of editing (smaller = editing fine details)

Default: 0.1

starting_threshold

number

(minimum: 0.05, maximum: 1)

how much of the image to replace at the start of editing (1 = inpaint the entire image)

Default: 0.6

ending_threshold

number

(minimum: 0.1, maximum: 1)

how much of the image to replace at the end of editing

Default: 0.5

guidance_scale

number

(minimum: -10, maximum: 100)

Controls how much the image should look like the prompt

Default: 5

seed

integer

(minimum: -1)

(optional) Seed for the random number generator.

Default: -1

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

npx create-replicate --model=afiaka87/ldm-autoedit

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 afiaka87/ldm-autoedit using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "afiaka87/ldm-autoedit:bdd8cf668c1de02dce4b786970acc1703250d5e330c8a8f16f9d9e5b786d02a3",
  {
    input: {
      edit: "",
      seed: -1,
      text: "",
      width: 256,
      height: 256,
      negative: "",
      batch_size: 1,
      iterations: 25,
      ending_radius: 0.1,
      guidance_scale: 5,
      starting_radius: 5,
      aesthetic_rating: 9,
      aesthetic_weight: 0.5,
      ending_threshold: 0.5,
      starting_threshold: 0.6
    }
  }
);

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 afiaka87/ldm-autoedit using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "afiaka87/ldm-autoedit:bdd8cf668c1de02dce4b786970acc1703250d5e330c8a8f16f9d9e5b786d02a3",
    input={
        "edit": "",
        "seed": -1,
        "text": "",
        "width": 256,
        "height": 256,
        "negative": "",
        "batch_size": 1,
        "iterations": 25,
        "ending_radius": 0.1,
        "guidance_scale": 5,
        "starting_radius": 5,
        "aesthetic_rating": 9,
        "aesthetic_weight": 0.5,
        "ending_threshold": 0.5,
        "starting_threshold": 0.6
    }
)

# The afiaka87/ldm-autoedit model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/afiaka87/ldm-autoedit/api#output-schema
    print(item)

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 afiaka87/ldm-autoedit 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": "afiaka87/ldm-autoedit:bdd8cf668c1de02dce4b786970acc1703250d5e330c8a8f16f9d9e5b786d02a3",
    "input": {
      "edit": "",
      "seed": -1,
      "text": "",
      "width": 256,
      "height": 256,
      "negative": "",
      "batch_size": 1,
      "iterations": 25,
      "ending_radius": 0.1,
      "guidance_scale": 5,
      "starting_radius": 5,
      "aesthetic_rating": 9,
      "aesthetic_weight": 0.5,
      "ending_threshold": 0.5,
      "starting_threshold": 0.6
    }
  }' \
  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.