jyoung105/hyper-sd15 | Run with an API on Replicate

jyoung105

hyper-sd15

Public

44 runs

L40S

Run with an API

Pricing

Playground API Examples README Versions

Input

prompt

string

Shift + Return to add a new line

Input prompt, text of what you want to generate.

negative_prompt

string

Shift + Return to add a new line

Input negative prompt, text of what you don't want to generate.

width

integer

(minimum: 1, maximum: 2048)

Width of the output image.

Default: 512

height

integer

(minimum: 1, maximum: 2048)

Height of the output image.

Default: 512

num_images

integer

(minimum: 1, maximum: 4)

Number of output images.

Default: 1

steps

integer

Number of denoising steps.

Default: 12

eta

number

(minimum: 0, maximum: 1)

Stochastic parameter to control the randomness.

Default: 0

guidance_scale

number

(minimum: 0, maximum: 20)

Scale for classifier-free guidance.

Default: 5

seed

integer

Random seed. Leave blank to randomize the seed.

clip_skip

integer

Number of the layers to skip in CLIP.

Default: 0

use_tiny

boolean

Use a tiny VAE model to speed up inference.

Default: true

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

npx create-replicate --model=jyoung105/hyper-sd15

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 jyoung105/hyper-sd15 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "jyoung105/hyper-sd15:c2cf3e56df7380d57ffb00beefe80e46d31a55d68d770610cccfc37ce05b2a07",
  {
    input: {
      eta: 0,
      steps: 12,
      width: 512,
      height: 512,
      use_tiny: true,
      clip_skip: 0,
      num_images: 1,
      guidance_scale: 5
    }
  }
);

// 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 jyoung105/hyper-sd15 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "jyoung105/hyper-sd15:c2cf3e56df7380d57ffb00beefe80e46d31a55d68d770610cccfc37ce05b2a07",
    input={
        "eta": 0,
        "steps": 12,
        "width": 512,
        "height": 512,
        "use_tiny": True,
        "clip_skip": 0,
        "num_images": 1,
        "guidance_scale": 5
    }
)

# To access the file URL:
print(output[0].url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

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 jyoung105/hyper-sd15 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": "jyoung105/hyper-sd15:c2cf3e56df7380d57ffb00beefe80e46d31a55d68d770610cccfc37ce05b2a07",
    "input": {
      "eta": 0,
      "steps": 12,
      "width": 512,
      "height": 512,
      "use_tiny": true,
      "clip_skip": 0,
      "num_images": 1,
      "guidance_scale": 5
    }
  }' \
  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.

Run time and cost

This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.