nightmareai/k-diffusion:1535edc6 – Run with an API on Replicate

Version

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nightmareai /k-diffusion:1535edc6

Playground API

Input

text_prompt

string

Shift + Return to add a new line

Prompt

Default: "A mysterious orb by Ernst Fuchs"

sampling_mode

string

Sampling mode

Default: "DPM-2"

churn

number

The amount of noise to add during sampling

Default: 50

init_image

file

Initial image for the generation

sigma_start

integer

The starting noise level when using an init image

Default: 10

init_scale

integer

This enhances the effect of the init image, a good value is 1000.

Default: 1000

image_prompt

file

Image prompt (CLIP only)

n_steps

integer

(minimum: 50, maximum: 1000)

The number of timesteps to use

Default: 500

latent_scale

integer

Latent guidance scale, higher for stronger latent guidance.

Default: 5

clip_guidance_scale

integer

CLIP guidance scale, higher for stronger clip guidance. 0 to disable CLIP guidance.

Default: 1000

cutn

integer

The number of random crops per step.

Default: 16

cut_pow

number

Cut power

Default: 0.5

seed

integer

(minimum: 0, maximum: 4294967295)

Seed (leave empty to use a random seed)

output_steps

integer

(minimum: 0, maximum: 50)

Display an image after this many steps.

Default: 10

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

npx create-replicate --model=nightmareai/k-diffusion

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

const output = await replicate.run(
  "nightmareai/k-diffusion:1535edc6074b8d68da1c1ff92786ba1465bf062c46adc2dfa5161e5d6f4a18ac",
  {
    input: {
      cutn: 16,
      churn: 50,
      cut_pow: 0.5,
      n_steps: 500,
      init_scale: 1000,
      sigma_start: 10,
      text_prompt: "A mysterious orb by Ernst Fuchs",
      latent_scale: 5,
      output_steps: 10,
      sampling_mode: "DPM-2",
      clip_guidance_scale: 1000
    }
  }
);
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 nightmareai/k-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "nightmareai/k-diffusion:1535edc6074b8d68da1c1ff92786ba1465bf062c46adc2dfa5161e5d6f4a18ac",
    input={
        "cutn": 16,
        "churn": 50,
        "cut_pow": 0.5,
        "n_steps": 500,
        "init_scale": 1000,
        "sigma_start": 10,
        "text_prompt": "A mysterious orb by Ernst Fuchs",
        "latent_scale": 5,
        "output_steps": 10,
        "sampling_mode": "DPM-2",
        "clip_guidance_scale": 1000
    }
)

# The nightmareai/k-diffusion 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/nightmareai/k-diffusion/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 nightmareai/k-diffusion 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": "1535edc6074b8d68da1c1ff92786ba1465bf062c46adc2dfa5161e5d6f4a18ac",
    "input": {
      "cutn": 16,
      "churn": 50,
      "cut_pow": 0.5,
      "n_steps": 500,
      "init_scale": 1000,
      "sigma_start": 10,
      "text_prompt": "A mysterious orb by Ernst Fuchs",
      "latent_scale": 5,
      "output_steps": 10,
      "sampling_mode": "DPM-2",
      "clip_guidance_scale": 1000
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/nightmareai/k-diffusion@sha256:1535edc6074b8d68da1c1ff92786ba1465bf062c46adc2dfa5161e5d6f4a18ac \
  -i 'cutn=16' \
  -i 'churn=50' \
  -i 'cut_pow=0.5' \
  -i 'n_steps=500' \
  -i 'init_scale=1000' \
  -i 'sigma_start=10' \
  -i 'text_prompt="A mysterious orb by Ernst Fuchs"' \
  -i 'latent_scale=5' \
  -i 'output_steps=10' \
  -i 'sampling_mode="DPM-2"' \
  -i 'clip_guidance_scale=1000'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/nightmareai/k-diffusion@sha256:1535edc6074b8d68da1c1ff92786ba1465bf062c46adc2dfa5161e5d6f4a18ac
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "cutn": 16,
      "churn": 50,
      "cut_pow": 0.5,
      "n_steps": 500,
      "init_scale": 1000,
      "sigma_start": 10,
      "text_prompt": "A mysterious orb by Ernst Fuchs",
      "latent_scale": 5,
      "output_steps": 10,
      "sampling_mode": "DPM-2",
      "clip_guidance_scale": 1000
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

No output yet! Press "Submit" to start a prediction.