lucataco/rivers-stable-diffusion-upscaler:d70507ad

Version

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lucataco /rivers-stable-diffusion-upscaler:d70507ad

Playground API

Input

image

*file

Input image

prompt

string

Shift + Return to add a new line

the temple of fire by Ross Tran and Gerardo Dottori, oil on canvasthe temple of fire by Ross Tran and Gerardo Dottori, oil on canvas

Default: "the temple of fire by Ross Tran and Gerardo Dottori, oil on canvas"

guidance_scale

number

(minimum: 0, maximum: 10)

Guidance scale (0 - 10)

Default: 1

noise_aug_type

string

Sampler to use

Default: "gaussian"

noise_aug_level

number

(minimum: 0, maximum: 1)

Amount of noise to augment

Default: 0

sampler

string

Sampler to use

Default: "k_dpm_adaptive"

steps

integer

(minimum: 0, maximum: 100)

# inference steps

Default: 50

tol_scale

number

(minimum: 0, maximum: 10)

k_dpm_adaptive uses an an adaptive solver with error tolerance tol_scale, all other use a fixed # of steps

Default: 0.25

eta

number

(minimum: 0, maximum: 10)

Amount of noise to add per step (0-deterministic). Used in all samples except k_euler

Default: 1

seed

integer

Seed (0 = random, maximum: 2147483647)

Default: 0

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

npx create-replicate --model=lucataco/rivers-stable-diffusion-upscaler

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 lucataco/rivers-stable-diffusion-upscaler using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/rivers-stable-diffusion-upscaler:d70507adad3ca5f6723bbd289706b6ef9460bc0cd24d3f91db729a7695800cc4",
  {
    input: {
      eta: 1,
      seed: 0,
      steps: 50,
      prompt: "the temple of fire by Ross Tran and Gerardo Dottori, oil on canvas",
      sampler: "k_dpm_adaptive",
      tol_scale: 0.25,
      guidance_scale: 1,
      noise_aug_type: "gaussian",
      noise_aug_level: 0
    }
  }
);

// 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 lucataco/rivers-stable-diffusion-upscaler using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/rivers-stable-diffusion-upscaler:d70507adad3ca5f6723bbd289706b6ef9460bc0cd24d3f91db729a7695800cc4",
    input={
        "eta": 1,
        "seed": 0,
        "steps": 50,
        "prompt": "the temple of fire by Ross Tran and Gerardo Dottori, oil on canvas",
        "sampler": "k_dpm_adaptive",
        "tol_scale": 0.25,
        "guidance_scale": 1,
        "noise_aug_type": "gaussian",
        "noise_aug_level": 0
    }
)
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 lucataco/rivers-stable-diffusion-upscaler 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": "lucataco/rivers-stable-diffusion-upscaler:d70507adad3ca5f6723bbd289706b6ef9460bc0cd24d3f91db729a7695800cc4",
    "input": {
      "eta": 1,
      "seed": 0,
      "steps": 50,
      "prompt": "the temple of fire by Ross Tran and Gerardo Dottori, oil on canvas",
      "sampler": "k_dpm_adaptive",
      "tol_scale": 0.25,
      "guidance_scale": 1,
      "noise_aug_type": "gaussian",
      "noise_aug_level": 0
    }
  }' \
  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.