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

Input

prompt

string

Shift + Return to add a new line

joe biden eating a cheeeseburger at mcdonaldsjoe biden eating a cheeeseburger at mcdonalds

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: "joe biden eating a cheeeseburger at mcdonalds",
      scheduler: "K_EULER",
      num_outputs: 1,
      guidance_scale: 7.5,
      apply_watermark: true,
      negative_prompt: "",
      num_inference_steps: 25
    }
  }
);

// 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": "joe biden eating a cheeeseburger at mcdonalds",
        "scheduler": "K_EULER",
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "apply_watermark": True,
        "negative_prompt": "",
        "num_inference_steps": 25
    }
)
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": "joe biden eating a cheeeseburger at mcdonalds",
      "scheduler": "K_EULER",
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "apply_watermark": true,
      "negative_prompt": "",
      "num_inference_steps": 25
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-12-26T05:17:33.431718Z",
  "created_at": "2023-12-26T05:14:30.102887Z",
  "data_removed": false,
  "error": null,
  "id": "v4yarmdbozamrlwcgytylzuase",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "joe biden eating a cheeeseburger at mcdonalds",
    "scheduler": "K_EULER",
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "apply_watermark": true,
    "negative_prompt": "",
    "num_inference_steps": 25
  },
  "logs": "Using seed: 4177073\n  0%|          | 0/25 [00:00<?, ?it/s]\n  4%|▍         | 1/25 [00:00<00:08,  2.98it/s]\n  8%|▊         | 2/25 [00:00<00:05,  3.93it/s]\n 12%|█▏        | 3/25 [00:00<00:05,  4.37it/s]\n 16%|█▌        | 4/25 [00:00<00:04,  4.61it/s]\n 20%|██        | 5/25 [00:01<00:04,  4.76it/s]\n 24%|██▍       | 6/25 [00:01<00:03,  4.84it/s]\n 28%|██▊       | 7/25 [00:01<00:03,  4.89it/s]\n 32%|███▏      | 8/25 [00:01<00:03,  4.93it/s]\n 36%|███▌      | 9/25 [00:01<00:03,  4.96it/s]\n 40%|████      | 10/25 [00:02<00:03,  4.97it/s]\n 44%|████▍     | 11/25 [00:02<00:02,  4.98it/s]\n 48%|████▊     | 12/25 [00:02<00:02,  4.99it/s]\n 52%|█████▏    | 13/25 [00:02<00:02,  4.98it/s]\n 56%|█████▌    | 14/25 [00:02<00:02,  4.99it/s]\n 60%|██████    | 15/25 [00:03<00:02,  4.99it/s]\n 64%|██████▍   | 16/25 [00:03<00:01,  4.99it/s]\n 68%|██████▊   | 17/25 [00:03<00:01,  5.00it/s]\n 72%|███████▏  | 18/25 [00:03<00:01,  4.99it/s]\n 76%|███████▌  | 19/25 [00:03<00:01,  5.00it/s]\n 80%|████████  | 20/25 [00:04<00:01,  5.00it/s]\n 84%|████████▍ | 21/25 [00:04<00:00,  5.00it/s]\n 88%|████████▊ | 22/25 [00:04<00:00,  5.00it/s]\n 92%|█████████▏| 23/25 [00:04<00:00,  5.00it/s]\n 96%|█████████▌| 24/25 [00:04<00:00,  5.00it/s]\n100%|██████████| 25/25 [00:05<00:00,  5.00it/s]\n100%|██████████| 25/25 [00:05<00:00,  4.87it/s]",
  "metrics": {
    "predict_time": 7.122212,
    "total_time": 183.328831
  },
  "output": [
    "https://replicate.delivery/pbxt/IEYnPTueeWs9HUb2xtL2mR1CLasKcnFX5Dv6vDX0ERvsPBGSA/out-0.png"
  ],
  "started_at": "2023-12-26T05:17:26.309506Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/v4yarmdbozamrlwcgytylzuase",
    "cancel": "https://api.replicate.com/v1/predictions/v4yarmdbozamrlwcgytylzuase/cancel"
  },
  "version": "7a63fb93cb78f93bab3470e8042d256d2ea88c2a21d2df16e253ed4263b2bcca"
}

Generated in

7.1 seconds

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Examples

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Run time and cost

This model costs approximately $0.0085 to run on Replicate, or 117 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia L40S GPU hardware. Predictions typically complete within 9 seconds. The predict time for this model varies significantly based on the inputs.

Readme

Terminus XL Otaku is a latent diffusion model that uses zero-terminal SNR noise schedule and velocity prediction objective at training and inference time.

Terminus is a new state-of-the-art model family based on SDXL’s architecture, and is compatible with (most) SDXL pipelines.

For Terminus Otaku (this model), the training data is exclusively anime/celshading/3D renders and other hand-drawn or synthetic art styles.

The objective of this model was to continue the use of v-prediction objective and min-SNR gamma loss to adapt Terminus Gamma v2’s outputs to a more artistic style.

Fine-tuned from: ptx0/terminus-xl-gamma-v2 Developed by: pseudoterminal X (@bghira) Funded by: pseudoterminal X (@bghira) Model type: Latent Diffusion License: openrail++ Architecture: SDXL