charlesmccarthy/terminus-xl-otaku-v1:7a63fb93 | Run with an API on Replicate

Version

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charlesmccarthy /terminus-xl-otaku-v1:7a63fb93

Playground API

Input

prompt

string

Shift + Return to add a new line

Input prompt

Default: "An astronaut riding a rainbow unicorn"

negative_prompt

string

Shift + Return to add a new line

Input Negative Prompt

Default: ""

width

integer

Width of output image

Default: 1024

height

integer

Height of output image

Default: 1024

num_outputs

integer

(minimum: 1, maximum: 4)

Number of images to output.

Default: 1

scheduler

string

scheduler

Default: "K_EULER"

num_inference_steps

integer

(minimum: 1, maximum: 50)

Number of denoising steps

Default: 6

guidance_scale

number

(minimum: 1, maximum: 20)

Scale for classifier-free guidance

Default: 2

seed

integer

Random seed. Leave blank to randomize the seed

apply_watermark

boolean

Applies a watermark to enable determining if an image is generated in downstream applications. If you have other provisions for generating or deploying images safely, you can use this to disable watermarking.

Default: true

disable_safety_checker

boolean

Disable safety checker for generated images. This feature is only available through the API. See [https://replicate.com/docs/how-does-replicate-work#safety](https://replicate.com/docs/how-does-replicate-work#safety)

Default: false

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

npx create-replicate --model=charlesmccarthy/terminus-xl-otaku-v1

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 charlesmccarthy/terminus-xl-otaku-v1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "charlesmccarthy/terminus-xl-otaku-v1:7a63fb93cb78f93bab3470e8042d256d2ea88c2a21d2df16e253ed4263b2bcca",
  {
    input: {
      width: 1024,
      height: 1024,
      prompt: "jlo as artwork",
      scheduler: "K_EULER_ANCESTRAL",
      num_outputs: 1,
      guidance_scale: 6.5,
      apply_watermark: true,
      negative_prompt: "",
      num_inference_steps: 33
    }
  }
);

// 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 charlesmccarthy/terminus-xl-otaku-v1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "charlesmccarthy/terminus-xl-otaku-v1:7a63fb93cb78f93bab3470e8042d256d2ea88c2a21d2df16e253ed4263b2bcca",
    input={
        "width": 1024,
        "height": 1024,
        "prompt": "jlo as artwork",
        "scheduler": "K_EULER_ANCESTRAL",
        "num_outputs": 1,
        "guidance_scale": 6.5,
        "apply_watermark": True,
        "negative_prompt": "",
        "num_inference_steps": 33
    }
)
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 charlesmccarthy/terminus-xl-otaku-v1 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": "charlesmccarthy/terminus-xl-otaku-v1:7a63fb93cb78f93bab3470e8042d256d2ea88c2a21d2df16e253ed4263b2bcca",
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "jlo as artwork",
      "scheduler": "K_EULER_ANCESTRAL",
      "num_outputs": 1,
      "guidance_scale": 6.5,
      "apply_watermark": true,
      "negative_prompt": "",
      "num_inference_steps": 33
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-12-26T05:24:52.672850Z",
  "created_at": "2023-12-26T05:24:44.108746Z",
  "data_removed": false,
  "error": null,
  "id": "z4f5ro3beaphl7etukvf7pzkim",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "jlo as artwork",
    "scheduler": "K_EULER_ANCESTRAL",
    "num_outputs": 1,
    "guidance_scale": 6.5,
    "apply_watermark": true,
    "negative_prompt": "",
    "num_inference_steps": 33
  },
  "logs": "Using seed: 6031873\n  0%|          | 0/33 [00:00<?, ?it/s]\n  6%|▌         | 2/33 [00:00<00:04,  6.82it/s]\n  9%|▉         | 3/33 [00:00<00:05,  5.94it/s]\n 12%|█▏        | 4/33 [00:00<00:05,  5.57it/s]\n 15%|█▌        | 5/33 [00:00<00:05,  5.37it/s]\n 18%|█▊        | 6/33 [00:01<00:05,  5.23it/s]\n 21%|██        | 7/33 [00:01<00:05,  5.16it/s]\n 24%|██▍       | 8/33 [00:01<00:04,  5.12it/s]\n 27%|██▋       | 9/33 [00:01<00:04,  5.08it/s]\n 30%|███       | 10/33 [00:01<00:04,  5.06it/s]\n 33%|███▎      | 11/33 [00:02<00:04,  5.04it/s]\n 36%|███▋      | 12/33 [00:02<00:04,  5.03it/s]\n 39%|███▉      | 13/33 [00:02<00:03,  5.02it/s]\n 42%|████▏     | 14/33 [00:02<00:03,  5.02it/s]\n 45%|████▌     | 15/33 [00:02<00:03,  5.01it/s]\n 48%|████▊     | 16/33 [00:03<00:03,  5.01it/s]\n 52%|█████▏    | 17/33 [00:03<00:03,  5.00it/s]\n 55%|█████▍    | 18/33 [00:03<00:03,  5.00it/s]\n 58%|█████▊    | 19/33 [00:03<00:02,  4.99it/s]\n 61%|██████    | 20/33 [00:03<00:02,  4.99it/s]\n 64%|██████▎   | 21/33 [00:04<00:02,  4.99it/s]\n 67%|██████▋   | 22/33 [00:04<00:02,  4.99it/s]\n 70%|██████▉   | 23/33 [00:04<00:02,  4.98it/s]\n 73%|███████▎  | 24/33 [00:04<00:01,  4.98it/s]\n 76%|███████▌  | 25/33 [00:04<00:01,  4.98it/s]\n 79%|███████▉  | 26/33 [00:05<00:01,  4.98it/s]\n 82%|████████▏ | 27/33 [00:05<00:01,  4.98it/s]\n 85%|████████▍ | 28/33 [00:05<00:01,  4.98it/s]\n 88%|████████▊ | 29/33 [00:05<00:00,  4.97it/s]\n 91%|█████████ | 30/33 [00:05<00:00,  4.98it/s]\n 94%|█████████▍| 31/33 [00:06<00:00,  4.98it/s]\n 97%|█████████▋| 32/33 [00:06<00:00,  4.98it/s]\n100%|██████████| 33/33 [00:06<00:00,  4.98it/s]\n100%|██████████| 33/33 [00:06<00:00,  5.08it/s]",
  "metrics": {
    "predict_time": 8.527941,
    "total_time": 8.564104
  },
  "output": [
    "https://replicate.delivery/pbxt/4yHLkENPZlLeISTt96eXjfMbDu2TUAelsai1G5h6r3fY0KwQC/out-0.png"
  ],
  "started_at": "2023-12-26T05:24:44.144909Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/z4f5ro3beaphl7etukvf7pzkim",
    "cancel": "https://api.replicate.com/v1/predictions/z4f5ro3beaphl7etukvf7pzkim/cancel"
  },
  "version": "7a63fb93cb78f93bab3470e8042d256d2ea88c2a21d2df16e253ed4263b2bcca"
}

Generated in

8.5 seconds

Tweak itReport

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