zylim0702/sd_inpaint_vlpart_any_part – Run with an API on Replicate

zylim0702 / sd_inpaint_vlpart_any_part

Cold

Public
38 runs
A100 (80GB)

Iterate in playground

Run with an API

Playground API Examples README Versions

Input

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

npx create-replicate --model=zylim0702/sd_inpaint_vlpart_any_part

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 zylim0702/sd_inpaint_vlpart_any_part using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "zylim0702/sd_inpaint_vlpart_any_part:42abc957c4e4864689cb09f7b518b57e98c0b410af60f496054ca134f8799454",
  {
    input: {
      a_prompt: "best quality, extremely detailed",
      n_prompt: "lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
      ddim_steps: 5,
      num_samples: 2,
      image_resolution: 768
    }
  }
);

// 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 zylim0702/sd_inpaint_vlpart_any_part using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "zylim0702/sd_inpaint_vlpart_any_part:42abc957c4e4864689cb09f7b518b57e98c0b410af60f496054ca134f8799454",
    input={
        "a_prompt": "best quality, extremely detailed",
        "n_prompt": "lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
        "ddim_steps": 5,
        "num_samples": 2,
        "image_resolution": 768
    }
)
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 zylim0702/sd_inpaint_vlpart_any_part 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": "zylim0702/sd_inpaint_vlpart_any_part:42abc957c4e4864689cb09f7b518b57e98c0b410af60f496054ca134f8799454",
    "input": {
      "a_prompt": "best quality, extremely detailed",
      "n_prompt": "lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
      "ddim_steps": 5,
      "num_samples": 2,
      "image_resolution": 768
    }
  }' \
  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.

Run time and cost

This model costs approximately $0.0097 to run on Replicate, or 103 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia A100 (80GB) GPU hardware. Predictions typically complete within 7 seconds.

Readme

This model doesn't have a readme.