tudortotolici / newspaper_illustration

The "newspaper illustration" model specializes in creating black-and-white, cartoon-style drawings reminiscent of classic newspaper illustrations.

Warm

Public
10.5K runs
H100

Run with an API

Playground API Examples README Versions

Input

prompt

*string

Shift + Return to add a new line

TOKNWSILL, Create a black-and-white cartoon-style drawing with people engaged in everyday activities, featuring familiar objects in various common settings. In a tense hospital corridor, a group of surgeons huddles in whispered conversations, casting furtive glances at a glimmering envelope being discreetly passed from one pair of hands to another, under the watchful eye of a skeptical assistant holding a clipboard.TOKNWSILL, Create a black-and-white cartoon-style drawing with people engaged in everyday activities, featuring familiar objects in various common settings. In a tense hospital corridor, a group of surgeons huddles in whispered conversations, casting furtive glances at a glimmering envelope being discreetly passed from one pair of hands to another, under the watchful eye of a skeptical assistant holding a clipboard.

Prompt for generated image. If you include the `trigger_word` used in the training process you are more likely to activate the trained object, style, or concept in the resulting image.

image

file

Input image for image to image or inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.

mask

file

Image mask for image inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.

aspect_ratio

string

Aspect ratio for the generated image. If custom is selected, uses height and width below & will run in bf16 mode

Default: "1:1"

height

integer

(minimum: 256, maximum: 1440)

Height of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation

width

integer

(minimum: 256, maximum: 1440)

Width of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation

prompt_strength

number

(minimum: 0, maximum: 1)

Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image

Default: 0.8

model

string

Which model to run inference with. The dev model performs best with around 28 inference steps but the schnell model only needs 4 steps.

Default: "dev"

num_outputs

integer

(minimum: 1, maximum: 4)

Number of outputs to generate

Default: 1

num_inference_steps

integer

(minimum: 1, maximum: 50)

Number of denoising steps. More steps can give more detailed images, but take longer.

Default: 28

guidance_scale

number

(minimum: 0, maximum: 10)

Guidance scale for the diffusion process. Lower values can give more realistic images. Good values to try are 2, 2.5, 3 and 3.5

Default: 3

seed

integer

Random seed. Set for reproducible generation

output_format

string

Format of the output images

Default: "webp"

output_quality

integer

(minimum: 0, maximum: 100)

Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs

Default: 80

disable_safety_checker

boolean

Disable safety checker for generated images.

Default: false

go_fast

boolean

Run faster predictions with model optimized for speed (currently fp8 quantized); disable to run in original bf16

Default: false

megapixels

string

Approximate number of megapixels for generated image

Default: "1"

lora_scale

number

(minimum: -1, maximum: 3)

Determines how strongly the main LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.

Default: 1

extra_lora

string

Shift + Return to add a new line

Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'

extra_lora_scale

number

(minimum: -1, maximum: 3)

Determines how strongly the extra LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.

Default: 1

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

npx create-replicate --model=tudortotolici/newspaper_illustration

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

const output = await replicate.run(
  "tudortotolici/newspaper_illustration:1797002c268b308bb2650476b8515b4410afabf5fb7c1cdb47584f5eae6bfd97",
  {
    input: {
      model: "schnell",
      prompt: "TOKNWSILL, Create a black-and-white cartoon-style drawing with people engaged in everyday activities, featuring familiar objects in various common settings. In a tense hospital corridor, a group of surgeons huddles in whispered conversations, casting furtive glances at a glimmering envelope being discreetly passed from one pair of hands to another, under the watchful eye of a skeptical assistant holding a clipboard.",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 1,
      aspect_ratio: "21:9",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 100,
      prompt_strength: 0.8,
      extra_lora_scale: 0.8,
      num_inference_steps: 28
    }
  }
);

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

output = replicate.run(
    "tudortotolici/newspaper_illustration:1797002c268b308bb2650476b8515b4410afabf5fb7c1cdb47584f5eae6bfd97",
    input={
        "model": "schnell",
        "prompt": "TOKNWSILL, Create a black-and-white cartoon-style drawing with people engaged in everyday activities, featuring familiar objects in various common settings. In a tense hospital corridor, a group of surgeons huddles in whispered conversations, casting furtive glances at a glimmering envelope being discreetly passed from one pair of hands to another, under the watchful eye of a skeptical assistant holding a clipboard.",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 1,
        "aspect_ratio": "21:9",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 100,
        "prompt_strength": 0.8,
        "extra_lora_scale": 0.8,
        "num_inference_steps": 28
    }
)
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 tudortotolici/newspaper_illustration 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": "1797002c268b308bb2650476b8515b4410afabf5fb7c1cdb47584f5eae6bfd97",
    "input": {
      "model": "schnell",
      "prompt": "TOKNWSILL, Create a black-and-white cartoon-style drawing with people engaged in everyday activities, featuring familiar objects in various common settings. In a tense hospital corridor, a group of surgeons huddles in whispered conversations, casting furtive glances at a glimmering envelope being discreetly passed from one pair of hands to another, under the watchful eye of a skeptical assistant holding a clipboard.",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 1,
      "aspect_ratio": "21:9",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 100,
      "prompt_strength": 0.8,
      "extra_lora_scale": 0.8,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-08-30T01:39:30.720602Z",
  "created_at": "2024-08-30T01:38:46.310000Z",
  "data_removed": false,
  "error": null,
  "id": "rs7wyk2smsrm20chm3qr6cakfg",
  "input": {
    "model": "schnell",
    "prompt": "TOKNWSILL, Create a black-and-white cartoon-style drawing with people engaged in everyday activities, featuring familiar objects in various common settings. In a tense hospital corridor, a group of surgeons huddles in whispered conversations, casting furtive glances at a glimmering envelope being discreetly passed from one pair of hands to another, under the watchful eye of a skeptical assistant holding a clipboard.",
    "lora_scale": 1,
    "num_outputs": 1,
    "aspect_ratio": "21:9",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 100,
    "extra_lora_scale": 0.8,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 41012\nPrompt: TOKNWSILL, Create a black-and-white cartoon-style drawing with people engaged in everyday activities, featuring familiar objects in various common settings. In a tense hospital corridor, a group of surgeons huddles in whispered conversations, casting furtive glances at a glimmering envelope being discreetly passed from one pair of hands to another, under the watchful eye of a skeptical assistant holding a clipboard.\ntxt2img mode\nUsing schnell model\nfree=9324036345856\nDownloading weights\n2024-08-30T01:39:01Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpgqbd5jfc/weights url=https://replicate.delivery/yhqm/rK0gvSHm3cJCLl6j1kLbJh24rXBy2f2zF6tFF6Rpm9ivh2rJA/trained_model.tar\n2024-08-30T01:39:04Z | INFO  | [ Complete ] dest=/tmp/tmpgqbd5jfc/weights size=\"172 MB\" total_elapsed=2.258s url=https://replicate.delivery/yhqm/rK0gvSHm3cJCLl6j1kLbJh24rXBy2f2zF6tFF6Rpm9ivh2rJA/trained_model.tar\nDownloaded weights in 2.29s\nLoaded LoRAs in 20.92s\nToken indices sequence length is longer than the specified maximum sequence length for this model (88 > 77). Running this sequence through the model will result in indexing errors\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['ful eye of a skeptical assistant holding a clipboard.']\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:08,  3.28it/s]\n  7%|▋         | 2/28 [00:00<00:06,  4.23it/s]\n 11%|█         | 3/28 [00:00<00:05,  4.23it/s]\n 14%|█▍        | 4/28 [00:00<00:05,  4.22it/s]\n 18%|█▊        | 5/28 [00:01<00:05,  4.23it/s]\n 21%|██▏       | 6/28 [00:01<00:05,  4.22it/s]\n 25%|██▌       | 7/28 [00:01<00:04,  4.22it/s]\n 29%|██▊       | 8/28 [00:01<00:04,  4.22it/s]\n 32%|███▏      | 9/28 [00:02<00:04,  4.22it/s]\n 36%|███▌      | 10/28 [00:02<00:04,  4.22it/s]\n 39%|███▉      | 11/28 [00:02<00:04,  4.22it/s]\n 43%|████▎     | 12/28 [00:02<00:03,  4.22it/s]\n 46%|████▋     | 13/28 [00:03<00:03,  4.22it/s]\n 50%|█████     | 14/28 [00:03<00:03,  4.22it/s]\n 54%|█████▎    | 15/28 [00:03<00:03,  4.22it/s]\n 57%|█████▋    | 16/28 [00:03<00:02,  4.22it/s]\n 61%|██████    | 17/28 [00:04<00:02,  4.22it/s]\n 64%|██████▍   | 18/28 [00:04<00:02,  4.23it/s]\n 68%|██████▊   | 19/28 [00:04<00:02,  4.22it/s]\n 71%|███████▏  | 20/28 [00:04<00:01,  4.22it/s]\n 75%|███████▌  | 21/28 [00:04<00:01,  4.23it/s]\n 79%|███████▊  | 22/28 [00:05<00:01,  4.23it/s]\n 82%|████████▏ | 23/28 [00:05<00:01,  4.22it/s]\n 86%|████████▌ | 24/28 [00:05<00:00,  4.22it/s]\n 89%|████████▉ | 25/28 [00:05<00:00,  4.23it/s]\n 93%|█████████▎| 26/28 [00:06<00:00,  4.23it/s]\n 96%|█████████▋| 27/28 [00:06<00:00,  4.23it/s]\n100%|██████████| 28/28 [00:06<00:00,  4.22it/s]\n100%|██████████| 28/28 [00:06<00:00,  4.21it/s]",
  "metrics": {
    "predict_time": 28.794776492,
    "total_time": 44.410602
  },
  "output": [
    "https://replicate.delivery/yhqm/ThOBme1VbRWDe0HpYewMCHmcesmLkYlcyD3ZzYuhVbMIN1eaC/out-0.webp"
  ],
  "started_at": "2024-08-30T01:39:01.925825Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/rs7wyk2smsrm20chm3qr6cakfg",
    "cancel": "https://api.replicate.com/v1/predictions/rs7wyk2smsrm20chm3qr6cakfg/cancel"
  },
  "version": "1797002c268b308bb2650476b8515b4410afabf5fb7c1cdb47584f5eae6bfd97"
}

Generated in

28.8 seconds

Tweak it ShareReport

Using seed: 41012
Prompt: TOKNWSILL, Create a black-and-white cartoon-style drawing with people engaged in everyday activities, featuring familiar objects in various common settings. In a tense hospital corridor, a group of surgeons huddles in whispered conversations, casting furtive glances at a glimmering envelope being discreetly passed from one pair of hands to another, under the watchful eye of a skeptical assistant holding a clipboard.
txt2img mode
Using schnell model
free=9324036345856
Downloading weights
2024-08-30T01:39:01Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpgqbd5jfc/weights url=https://replicate.delivery/yhqm/rK0gvSHm3cJCLl6j1kLbJh24rXBy2f2zF6tFF6Rpm9ivh2rJA/trained_model.tar
2024-08-30T01:39:04Z | INFO  | [ Complete ] dest=/tmp/tmpgqbd5jfc/weights size="172 MB" total_elapsed=2.258s url=https://replicate.delivery/yhqm/rK0gvSHm3cJCLl6j1kLbJh24rXBy2f2zF6tFF6Rpm9ivh2rJA/trained_model.tar
Downloaded weights in 2.29s
Loaded LoRAs in 20.92s
Token indices sequence length is longer than the specified maximum sequence length for this model (88 > 77). Running this sequence through the model will result in indexing errors
The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['ful eye of a skeptical assistant holding a clipboard.']
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Examples

View more examples

Run time and cost

This model costs approximately $0.018 to run on Replicate, or 55 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 H100 GPU hardware. Predictions typically complete within 12 seconds.

Readme

Newspaper Illustration Model

This model creates black-and-white cartoon-style drawings with people engaged in everyday activities, featuring familiar objects in various common settings. The illustrations are reminiscent of newspaper comic strips or editorial cartoons.

Features

Generates black-and-white cartoon-style drawings
Suitable for newspaper-like illustrations or comics

Output

The model generates a black-and-white cartoon-style image based on the input prompt and specified parameters.

Example

Input prompt:

TOKNWSILL, Create a black-and-white cartoon-style drawing with people engaged in everyday activities, featuring familiar objects in various common settings. In a tense hospital corridor, a group of surgeons huddles in whispered conversations, casting furtive glances at a glimmering envelope being discreetly passed from one pair of hands to another, under the watchful eye of a skeptical assistant holding a clipboard.

This prompt generates a detailed hospital scene with multiple characters engaged in a secretive interaction, capturing the essence of a dramatic moment in a familiar setting.

Notes

The model excels at creating detailed, expressive scenes with multiple characters and objects.
It’s particularly good at capturing emotions and subtle interactions between characters.
The style is reminiscent of newspaper illustrations, making it suitable for editorial content, storyboarding, or comic strip creation.