anotherjesse/sdxl-recur:13370d55 – Run with an API on Replicate

Version

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anotherjesse /sdxl-recur:13370d55

Playground API

Input

prompt

string

Shift + Return to add a new line

Input prompt

Default: "An astronaut riding a rainbow unicorn"

negative_prompt

string

Shift + Return to add a new line

Input Negative Prompt

Default: ""

image

file

initial image (optional)

width

integer

Width of output image (ignored if image is provided)

Default: 1024

height

integer

Height of output image (ignored if image is provided)

Default: 1024

steps

integer

(minimum: 1, maximum: 500)

Number of denoising steps per image

Default: 10

frames

integer

(minimum: 1, maximum: 500)

Number of frames

Default: 20

zoom

number

(minimum: 1, maximum: 4)

Zoom factor

Default: 1.05

guidance_scale

number

(minimum: 1, maximum: 50)

Scale for classifier-free guidance

Default: 7.5

prompt_strength

number

(minimum: 0, maximum: 1)

Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image

Default: 0.8

scheduler

string

scheduler

Default: "K_EULER"

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=anotherjesse/sdxl-recur

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 anotherjesse/sdxl-recur using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "anotherjesse/sdxl-recur:13370d55faee007c6b5cd3d4d66133888308720413f6bdc07cf5439b072c67a1",
  {
    input: {
      zoom: 1.05,
      steps: 10,
      width: 1024,
      frames: 20,
      height: 1024,
      prompt: "An astronaut riding a rainbow unicorn",
      scheduler: "K_EULER",
      guidance_scale: 7.5,
      negative_prompt: "",
      prompt_strength: 0.8
    }
  }
);
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 anotherjesse/sdxl-recur using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "anotherjesse/sdxl-recur:13370d55faee007c6b5cd3d4d66133888308720413f6bdc07cf5439b072c67a1",
    input={
        "zoom": 1.05,
        "steps": 10,
        "width": 1024,
        "frames": 20,
        "height": 1024,
        "prompt": "An astronaut riding a rainbow unicorn",
        "scheduler": "K_EULER",
        "guidance_scale": 7.5,
        "negative_prompt": "",
        "prompt_strength": 0.8
    }
)

# The anotherjesse/sdxl-recur 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/anotherjesse/sdxl-recur/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 anotherjesse/sdxl-recur 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": "13370d55faee007c6b5cd3d4d66133888308720413f6bdc07cf5439b072c67a1",
    "input": {
      "zoom": 1.05,
      "steps": 10,
      "width": 1024,
      "frames": 20,
      "height": 1024,
      "prompt": "An astronaut riding a rainbow unicorn",
      "scheduler": "K_EULER",
      "guidance_scale": 7.5,
      "negative_prompt": "",
      "prompt_strength": 0.8
    }
  }' \
  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/anotherjesse/sdxl-recur@sha256:13370d55faee007c6b5cd3d4d66133888308720413f6bdc07cf5439b072c67a1 \
  -i 'zoom=1.05' \
  -i 'steps=10' \
  -i 'width=1024' \
  -i 'frames=20' \
  -i 'height=1024' \
  -i 'prompt="An astronaut riding a rainbow unicorn"' \
  -i 'scheduler="K_EULER"' \
  -i 'guidance_scale=7.5' \
  -i 'negative_prompt=""' \
  -i 'prompt_strength=0.8'

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/anotherjesse/sdxl-recur@sha256:13370d55faee007c6b5cd3d4d66133888308720413f6bdc07cf5439b072c67a1
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "zoom": 1.05,
      "steps": 10,
      "width": 1024,
      "frames": 20,
      "height": 1024,
      "prompt": "An astronaut riding a rainbow unicorn",
      "scheduler": "K_EULER",
      "guidance_scale": 7.5,
      "negative_prompt": "",
      "prompt_strength": 0.8
    }
  }' \
  http://localhost:5000/predictions

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

Output

No output yet! Press "Submit" to start a prediction.