adirik/t2i-adapter-sdxl-openpose:6e87d127 | Run with an API on Replicate

Version

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adirik /t2i-adapter-sdxl-openpose:6e87d127

Playground API

Input

image

*file

Input image

prompt

string

Shift + Return to add a new line

Input prompt

Default: "A couple, 4k photo, highly detailed"

negative_prompt

string

Shift + Return to add a new line

anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfiguredanime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured

Specify things to not see in the output

Default: "anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured"

num_inference_steps

integer

(minimum: 0, maximum: 100)

Number of diffusion steps

Default: 30

adapter_conditioning_scale

number

(minimum: 0, maximum: 5)

Conditioning scale

Default: 1

adapter_conditioning_factor

number

(minimum: 0, maximum: 1)

Factor to scale image by

Default: 1

guidance_scale

number

(minimum: 0, maximum: 10)

Guidance scale to match the prompt

Default: 7.5

num_samples

integer

(minimum: 1, maximum: 4)

Number of outputs to generate

Default: 1

scheduler

string

Which scheduler to use

Default: "K_EULER_ANCESTRAL"

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

npx create-replicate --model=adirik/t2i-adapter-sdxl-openpose

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 adirik/t2i-adapter-sdxl-openpose using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "adirik/t2i-adapter-sdxl-openpose:6e87d127eb184d446b8cec0c2b034b3c7b24d08e211ec28247cdeb2e0a460670",
  {
    input: {
      prompt: "A couple, 4k photo, highly detailed",
      scheduler: "K_EULER_ANCESTRAL",
      num_samples: 1,
      guidance_scale: 7.5,
      negative_prompt: "anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured",
      num_inference_steps: 30,
      adapter_conditioning_scale: 1,
      adapter_conditioning_factor: 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 adirik/t2i-adapter-sdxl-openpose using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "adirik/t2i-adapter-sdxl-openpose:6e87d127eb184d446b8cec0c2b034b3c7b24d08e211ec28247cdeb2e0a460670",
    input={
        "prompt": "A couple, 4k photo, highly detailed",
        "scheduler": "K_EULER_ANCESTRAL",
        "num_samples": 1,
        "guidance_scale": 7.5,
        "negative_prompt": "anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured",
        "num_inference_steps": 30,
        "adapter_conditioning_scale": 1,
        "adapter_conditioning_factor": 1
    }
)

# To access the file URL:
print(output[0].url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].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 adirik/t2i-adapter-sdxl-openpose 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": "adirik/t2i-adapter-sdxl-openpose:6e87d127eb184d446b8cec0c2b034b3c7b24d08e211ec28247cdeb2e0a460670",
    "input": {
      "prompt": "A couple, 4k photo, highly detailed",
      "scheduler": "K_EULER_ANCESTRAL",
      "num_samples": 1,
      "guidance_scale": 7.5,
      "negative_prompt": "anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured",
      "num_inference_steps": 30,
      "adapter_conditioning_scale": 1,
      "adapter_conditioning_factor": 1
    }
  }' \
  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.