laion-ai/laionide:11a727b3 – Run with an API on Replicate

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laion-ai /laionide:11a727b3

Playground API

Input

prompt

string

Shift + Return to add a new line

Text prompt to use.

Default: ""

batch_size

integer

(minimum: 1, maximum: 6)

Batch size. Number of generations to predict

Default: 3

side_x

integer

Must be multiple of 8. Going above 64 is not recommended. Actual image will be 4x larger.

side_y

integer

Must be multiple of 8. Going above 64 is not recommended. Actual image size will be 4x larger.

upsample_stage

boolean

Performs prompt-aware upsampling by 4x base resolution

Default: true

guidance_scale

number

Classifier-free guidance scale. Higher values move further away from unconditional outputs. Lower values move closer to unconditional outputs. Negative values guide towards semantically opposite classes. 4-16 is a reasonable range.

Default: 4

upsample_temp

number

Upsample temperature. Consider lowering to ~0.997 for blurry images with fewer artifacts.

timestep_respacing

string

Number of timesteps to use for base model. Going above 150 has diminishing returns.

Default: "27"

sr_timestep_respacing

string

Number of timesteps to use for base model. Going above 150 has diminishing returns.

Default: "17"

seed

integer

Seed for reproducibility

Default: 0

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

npx create-replicate --model=laion-ai/laionide

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

const output = await replicate.run(
  "laion-ai/laionide:11a727b3c74f842f7e9d7db88df5da4d1b8389c14e186d6ceb1724abeebe4bc9",
  {
    input: {
      seed: 0,
      prompt: "",
      side_x: "32",
      side_y: "32",
      batch_size: 3,
      upsample_temp: "0.997",
      guidance_scale: 4,
      upsample_stage: true,
      timestep_respacing: "27",
      sr_timestep_respacing: "17"
    }
  }
);
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 laion-ai/laionide using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "laion-ai/laionide:11a727b3c74f842f7e9d7db88df5da4d1b8389c14e186d6ceb1724abeebe4bc9",
    input={
        "seed": 0,
        "prompt": "",
        "side_x": "32",
        "side_y": "32",
        "batch_size": 3,
        "upsample_temp": "0.997",
        "guidance_scale": 4,
        "upsample_stage": True,
        "timestep_respacing": "27",
        "sr_timestep_respacing": "17"
    }
)

# The laion-ai/laionide 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/laionide/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/laionide 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": "11a727b3c74f842f7e9d7db88df5da4d1b8389c14e186d6ceb1724abeebe4bc9",
    "input": {
      "seed": 0,
      "prompt": "",
      "side_x": "32",
      "side_y": "32",
      "batch_size": 3,
      "upsample_temp": "0.997",
      "guidance_scale": 4,
      "upsample_stage": true,
      "timestep_respacing": "27",
      "sr_timestep_respacing": "17"
    }
  }' \
  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.