cswry/seesr:989cf3a6 | Run with an API on Replicate

Version

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cswry /seesr:989cf3a6

Playground API

Input

image

*file

Input image

user_prompt

string

Shift + Return to add a new line

Prompt to condition on

Default: ""

positive_prompt

string

Shift + Return to add a new line

Prompt to add

Default: "clean, high-resolution, 8k"

negative_prompt

string

Shift + Return to add a new line

Prompt to remove

Default: "dotted, noise, blur, lowres, smooth"

cfg_scale

number

(minimum: 0.1, maximum: 10)

Guidance scale, set value to >1 to use

Default: 5.5

num_inference_steps

integer

(minimum: 10, maximum: 100)

Number of inference steps

Default: 50

sample_times

integer

(minimum: 1, maximum: 10)

Number of samples to generate

Default: 1

latent_tiled_size

integer

(minimum: 128, maximum: 480)

Size of latent tiles

Default: 320

latent_tiled_overlap

integer

(minimum: 4, maximum: 16)

Overlap of latent tiles

Default: 4

scale_factor

integer

Scale factor

Default: 4

seed

integer

(minimum: 0, maximum: 2147483647)

Seed

Default: 231

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

npx create-replicate --model=cswry/seesr

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

const output = await replicate.run(
  "cswry/seesr:989cf3a66fd209363de347c3129d95d9fe639e44533ab47e07a6dfb3f250b6e3",
  {
    input: {
      seed: 231,
      cfg_scale: 5.5,
      user_prompt: "",
      sample_times: 1,
      scale_factor: 4,
      negative_prompt: "dotted, noise, blur, lowres, smooth",
      positive_prompt: "clean, high-resolution, 8k",
      latent_tiled_size: 320,
      num_inference_steps: 50,
      latent_tiled_overlap: 4
    }
  }
);

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

output = replicate.run(
    "cswry/seesr:989cf3a66fd209363de347c3129d95d9fe639e44533ab47e07a6dfb3f250b6e3",
    input={
        "seed": 231,
        "cfg_scale": 5.5,
        "user_prompt": "",
        "sample_times": 1,
        "scale_factor": 4,
        "negative_prompt": "dotted, noise, blur, lowres, smooth",
        "positive_prompt": "clean, high-resolution, 8k",
        "latent_tiled_size": 320,
        "num_inference_steps": 50,
        "latent_tiled_overlap": 4
    }
)
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 cswry/seesr 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": "cswry/seesr:989cf3a66fd209363de347c3129d95d9fe639e44533ab47e07a6dfb3f250b6e3",
    "input": {
      "seed": 231,
      "cfg_scale": 5.5,
      "user_prompt": "",
      "sample_times": 1,
      "scale_factor": 4,
      "negative_prompt": "dotted, noise, blur, lowres, smooth",
      "positive_prompt": "clean, high-resolution, 8k",
      "latent_tiled_size": 320,
      "num_inference_steps": 50,
      "latent_tiled_overlap": 4
    }
  }' \
  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.