laion-ai/deep-image-diffusion-prior:493b6aaf – Run with an API on Replicate

Version

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laion-ai /deep-image-diffusion-prior:493b6aaf

Playground API

Input

prompt

string

Shift + Return to add a new line

Prompt to generate

Default: ""

offset_type

string

Offset type

Default: "none"

num_scales

integer

(minimum: 1, maximum: 10)

Number of scales

Default: 6

size_x

integer

Resolution of input image

Default: 256

size_y

integer

Resolution of input image

Default: 256

input_noise_strength

number

(minimum: 0, maximum: 1)

Strength of input noise

Default: 0

number

(minimum: 0, maximum: 10)

Learning rate

Default: 0.001

offset_lr_fac

number

(minimum: 0, maximum: 10)

Learning rate factor for offset

Default: 1

lr_decay

number

(minimum: 0, maximum: 1)

Learning rate decay

Default: 0.995

param_noise_strength

number

(minimum: 0, maximum: 1)

Strength of parameter noise

Default: 0

display_freq

integer

(minimum: 0, maximum: 100)

Display frequency

Default: 25

iterations

integer

(minimum: 0, maximum: 1000)

Number of iterations

Default: 250

num_samples_per_batch

integer

(minimum: 1, maximum: 10)

Number of samples per batch

Default: 2

num_cutouts

integer

(minimum: 4, maximum: 32)

Number of cutouts

Default: 8

guidance_scale

number

(minimum: 0, maximum: 10)

Scale of conditioning

Default: 1

seed

integer

(minimum: -1, maximum: 100000)

Random seed

Default: -1

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

npx create-replicate --model=laion-ai/deep-image-diffusion-prior

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 laion-ai/deep-image-diffusion-prior using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "laion-ai/deep-image-diffusion-prior:493b6aafb20c91669f8fa8f26ea67fb25fbedb0a1ce1b5fc1df1c8e11ae8b823",
  {
    input: {
      lr: 0.001,
      seed: -1,
      prompt: "",
      size_x: 256,
      size_y: 256,
      lr_decay: 0.995,
      iterations: 250,
      num_scales: 6,
      num_cutouts: 8,
      offset_type: "none",
      display_freq: 25,
      offset_lr_fac: 1,
      guidance_scale: 1,
      input_noise_strength: 0,
      param_noise_strength: 0,
      num_samples_per_batch: 2
    }
  }
);

// 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 laion-ai/deep-image-diffusion-prior using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "laion-ai/deep-image-diffusion-prior:493b6aafb20c91669f8fa8f26ea67fb25fbedb0a1ce1b5fc1df1c8e11ae8b823",
    input={
        "lr": 0.001,
        "seed": -1,
        "prompt": "",
        "size_x": 256,
        "size_y": 256,
        "lr_decay": 0.995,
        "iterations": 250,
        "num_scales": 6,
        "num_cutouts": 8,
        "offset_type": "none",
        "display_freq": 25,
        "offset_lr_fac": 1,
        "guidance_scale": 1,
        "input_noise_strength": 0,
        "param_noise_strength": 0,
        "num_samples_per_batch": 2
    }
)

# The laion-ai/deep-image-diffusion-prior 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/laion-ai/deep-image-diffusion-prior/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 laion-ai/deep-image-diffusion-prior 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": "laion-ai/deep-image-diffusion-prior:493b6aafb20c91669f8fa8f26ea67fb25fbedb0a1ce1b5fc1df1c8e11ae8b823",
    "input": {
      "lr": 0.001,
      "seed": -1,
      "prompt": "",
      "size_x": 256,
      "size_y": 256,
      "lr_decay": 0.995,
      "iterations": 250,
      "num_scales": 6,
      "num_cutouts": 8,
      "offset_type": "none",
      "display_freq": 25,
      "offset_lr_fac": 1,
      "guidance_scale": 1,
      "input_noise_strength": 0,
      "param_noise_strength": 0,
      "num_samples_per_batch": 2
    }
  }' \
  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.