afiaka87/laionide-v4:dd181fc9 – Run with an API on Replicate

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afiaka87 /laionide-v4:dd181fc9

Playground API

Input

prompt

*string

Shift + Return to add a new line

Text prompt to use. Keep it simple/literal and avoid using poetic language (unlike CLIP).

style_prompt

string

Shift + Return to add a new line

Text prompt to use. Keep it simple/literal and avoid using poetic language (unlike CLIP).

Default: "<cc12m>"

batch_size

integer

(minimum: 1, maximum: 8)

Batch size. Number of generations to predict

Default: 1

side_x

string

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

Default: "64"

side_y

string

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

Default: "64"

upsample_stage

boolean

If true, uses both the base and upsample models. If false, only the (finetuned) base model is used.

Default: true

upsample_temp

string

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

Default: "0.997"

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

style_guidance_scale

number

Default: 4

timestep_respacing

string

Number of timesteps to use for base model PLMS sampling. Usually don't need more than 50.

Default: "27"

sr_timestep_respacing

string

Number of timesteps to use for upsample model PLMS sampling. Usually don't need more than 20.

Default: "17"

seed

integer

Seed for reproducibility

Default: 0

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

npx create-replicate --model=afiaka87/laionide-v4

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 afiaka87/laionide-v4 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "afiaka87/laionide-v4:dd181fc9f0e12aa7032622c586655ea6d2e5def0f689b85e7a35de6d4b00531a",
  {
    input: {
      seed: 0,
      side_x: "64",
      side_y: "64",
      batch_size: 1,
      style_prompt: "<cc12m>",
      upsample_temp: "0.997",
      guidance_scale: 4,
      upsample_stage: true,
      timestep_respacing: "27",
      style_guidance_scale: 4,
      sr_timestep_respacing: "17"
    }
  }
);

// 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 afiaka87/laionide-v4 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "afiaka87/laionide-v4:dd181fc9f0e12aa7032622c586655ea6d2e5def0f689b85e7a35de6d4b00531a",
    input={
        "seed": 0,
        "side_x": "64",
        "side_y": "64",
        "batch_size": 1,
        "style_prompt": "<cc12m>",
        "upsample_temp": "0.997",
        "guidance_scale": 4,
        "upsample_stage": True,
        "timestep_respacing": "27",
        "style_guidance_scale": 4,
        "sr_timestep_respacing": "17"
    }
)
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 afiaka87/laionide-v4 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": "afiaka87/laionide-v4:dd181fc9f0e12aa7032622c586655ea6d2e5def0f689b85e7a35de6d4b00531a",
    "input": {
      "seed": 0,
      "side_x": "64",
      "side_y": "64",
      "batch_size": 1,
      "style_prompt": "<cc12m>",
      "upsample_temp": "0.997",
      "guidance_scale": 4,
      "upsample_stage": true,
      "timestep_respacing": "27",
      "style_guidance_scale": 4,
      "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.