jan890/flux_dev_ascii_art – Run with an API on Replicate

jan890 / flux_dev_ascii_art

This AI ASCII Image Generator converts text prompts into detailed ASCII art images. Just include the trigger word "ASCII" in your text prompt, and the model, fine-tuned on Flux1 Dev, will generate an ASCII art representation of your description. The model

Warm

Public
306 runs
H100

Run with an API

Playground API Examples README Versions

Input

prompt

*string

Shift + Return to add a new line

This image is an ASCII art representation of a human skull. The skull is rendered using a grid of ASCII characters, with the darker areas represented by more complex characters like backslashes and forward slashes, and the lighter areas represented by simpler characters like periods. The skull is set against a dark background, which enhances the contrast and gives the image a bold, striking appearance. The overall effect is a stylized, pixelated representation of a human skull that is reminiscent of early computer graphics or digital art.This image is an ASCII art representation of a human skull. The skull is rendered using a grid of ASCII characters, with the darker areas represented by more complex characters like backslashes and forward slashes, and the lighter areas represented by simpler characters like periods. The skull is set against a dark background, which enhances the contrast and gives the image a bold, striking appearance. The overall effect is a stylized, pixelated representation of a human skull that is reminiscent of early computer graphics or digital art.

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=jan890/flux_dev_ascii_art

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 jan890/flux_dev_ascii_art using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "jan890/flux_dev_ascii_art:cfe93c58c8e1801be0c9b4f18627df12cd944c276cb98c2649ec7b5d4ea175f0",
  {
    input: {
      model: "dev",
      prompt: "This image is an ASCII art representation of a human skull. The skull is rendered using a grid of ASCII characters, with the darker areas represented by more complex characters like backslashes and forward slashes, and the lighter areas represented by simpler characters like periods. The skull is set against a dark background, which enhances the contrast and gives the image a bold, striking appearance. The overall effect is a stylized, pixelated representation of a human skull that is reminiscent of early computer graphics or digital art.",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 4,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 80,
      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 jan890/flux_dev_ascii_art using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "jan890/flux_dev_ascii_art:cfe93c58c8e1801be0c9b4f18627df12cd944c276cb98c2649ec7b5d4ea175f0",
    input={
        "model": "dev",
        "prompt": "This image is an ASCII art representation of a human skull. The skull is rendered using a grid of ASCII characters, with the darker areas represented by more complex characters like backslashes and forward slashes, and the lighter areas represented by simpler characters like periods. The skull is set against a dark background, which enhances the contrast and gives the image a bold, striking appearance. The overall effect is a stylized, pixelated representation of a human skull that is reminiscent of early computer graphics or digital art.",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 4,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 80,
        "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 jan890/flux_dev_ascii_art 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": "cfe93c58c8e1801be0c9b4f18627df12cd944c276cb98c2649ec7b5d4ea175f0",
    "input": {
      "model": "dev",
      "prompt": "This image is an ASCII art representation of a human skull. The skull is rendered using a grid of ASCII characters, with the darker areas represented by more complex characters like backslashes and forward slashes, and the lighter areas represented by simpler characters like periods. The skull is set against a dark background, which enhances the contrast and gives the image a bold, striking appearance. The overall effect is a stylized, pixelated representation of a human skull that is reminiscent of early computer graphics or digital art.",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 4,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 80,
      "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": "2024-09-01T14:20:28.541807Z",
  "created_at": "2024-09-01T14:19:49.908000Z",
  "data_removed": false,
  "error": null,
  "id": "ryvb3yeq2hrm20chnqtbkt0szc",
  "input": {
    "model": "dev",
    "prompt": "This image is an ASCII art representation of a human skull. The skull is rendered using a grid of ASCII characters, with the darker areas represented by more complex characters like backslashes and forward slashes, and the lighter areas represented by simpler characters like periods. The skull is set against a dark background, which enhances the contrast and gives the image a bold, striking appearance. The overall effect is a stylized, pixelated representation of a human skull that is reminiscent of early computer graphics or digital art.",
    "lora_scale": 1,
    "num_outputs": 4,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 80,
    "extra_lora_scale": 0.8,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 60090\nPrompt: This image is an ASCII art representation of a human skull. The skull is rendered using a grid of ASCII characters, with the darker areas represented by more complex characters like backslashes and forward slashes, and the lighter areas represented by simpler characters like periods. The skull is set against a dark background, which enhances the contrast and gives the image a bold, striking appearance. The overall effect is a stylized, pixelated representation of a human skull that is reminiscent of early computer graphics or digital art.\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 8.93s\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['appearance. the overall effect is a stylized, pixelated representation of a human skull that is reminiscent of early computer graphics or digital art.', 'appearance. the overall effect is a stylized, pixelated representation of a human skull that is reminiscent of early computer graphics or digital art.', 'appearance. the overall effect is a stylized, pixelated representation of a human skull that is reminiscent of early computer graphics or digital art.', 'appearance. the overall effect is a stylized, pixelated representation of a human skull that is reminiscent of early computer graphics or digital art.']\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:01<00:27,  1.01s/it]\n  7%|▋         | 2/28 [00:01<00:23,  1.13it/s]\n 11%|█         | 3/28 [00:02<00:23,  1.06it/s]\n 14%|█▍        | 4/28 [00:03<00:23,  1.03it/s]\n 18%|█▊        | 5/28 [00:04<00:22,  1.01it/s]\n 21%|██▏       | 6/28 [00:05<00:21,  1.00it/s]\n 25%|██▌       | 7/28 [00:06<00:21,  1.00s/it]\n 29%|██▊       | 8/28 [00:07<00:20,  1.01s/it]\n 32%|███▏      | 9/28 [00:08<00:19,  1.01s/it]\n 36%|███▌      | 10/28 [00:09<00:18,  1.01s/it]\n 39%|███▉      | 11/28 [00:10<00:17,  1.02s/it]\n 43%|████▎     | 12/28 [00:11<00:16,  1.02s/it]\n 46%|████▋     | 13/28 [00:13<00:15,  1.02s/it]\n 50%|█████     | 14/28 [00:14<00:14,  1.02s/it]\n 54%|█████▎    | 15/28 [00:15<00:13,  1.02s/it]\n 57%|█████▋    | 16/28 [00:16<00:12,  1.02s/it]\n 61%|██████    | 17/28 [00:17<00:11,  1.02s/it]\n 64%|██████▍   | 18/28 [00:18<00:10,  1.02s/it]\n 68%|██████▊   | 19/28 [00:19<00:09,  1.02s/it]\n 71%|███████▏  | 20/28 [00:20<00:08,  1.02s/it]\n 75%|███████▌  | 21/28 [00:21<00:07,  1.02s/it]\n 79%|███████▊  | 22/28 [00:22<00:06,  1.02s/it]\n 82%|████████▏ | 23/28 [00:23<00:05,  1.02s/it]\n 86%|████████▌ | 24/28 [00:24<00:04,  1.02s/it]\n 89%|████████▉ | 25/28 [00:25<00:03,  1.02s/it]\n 93%|█████████▎| 26/28 [00:26<00:02,  1.02s/it]\n 96%|█████████▋| 27/28 [00:27<00:01,  1.02s/it]\n100%|██████████| 28/28 [00:28<00:00,  1.02s/it]\n100%|██████████| 28/28 [00:28<00:00,  1.01s/it]\nPotential NSFW content was detected in one or more images. A black image will be returned instead. Try again with a different prompt and/or seed.\nNSFW content detected in image 0",
  "metrics": {
    "predict_time": 38.625586583,
    "total_time": 38.633807
  },
  "output": [
    "https://replicate.delivery/yhqm/dv6D76cPJNJPDNMEZfyBjavKmxWSjE1CJMpnP4IeJdHsoiYTA/out-1.webp",
    "https://replicate.delivery/yhqm/lMre7RtyK9zzDqcXY2AKe60AF81ZdsG7n8fktDlBnahZRFxmA/out-2.webp",
    "https://replicate.delivery/yhqm/zP1lpWwEPoblOVYG1ljuvPKz00OxJCLk1D0fCxQzleCsoiYTA/out-3.webp"
  ],
  "started_at": "2024-09-01T14:19:49.916220Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/ryvb3yeq2hrm20chnqtbkt0szc",
    "cancel": "https://api.replicate.com/v1/predictions/ryvb3yeq2hrm20chnqtbkt0szc/cancel"
  },
  "version": "cfe93c58c8e1801be0c9b4f18627df12cd944c276cb98c2649ec7b5d4ea175f0"
}

Generated in

38.6 seconds

Tweak it ShareReport

Using seed: 60090
Prompt: This image is an ASCII art representation of a human skull. The skull is rendered using a grid of ASCII characters, with the darker areas represented by more complex characters like backslashes and forward slashes, and the lighter areas represented by simpler characters like periods. The skull is set against a dark background, which enhances the contrast and gives the image a bold, striking appearance. The overall effect is a stylized, pixelated representation of a human skull that is reminiscent of early computer graphics or digital art.
txt2img mode
Using dev model
Loaded LoRAs in 8.93s
The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['appearance. the overall effect is a stylized, pixelated representation of a human skull that is reminiscent of early computer graphics or digital art.', 'appearance. the overall effect is a stylized, pixelated representation of a human skull that is reminiscent of early computer graphics or digital art.', 'appearance. the overall effect is a stylized, pixelated representation of a human skull that is reminiscent of early computer graphics or digital art.', 'appearance. the overall effect is a stylized, pixelated representation of a human skull that is reminiscent of early computer graphics or digital art.']
  0%|          | 0/28 [00:00<?, ?it/s]
  4%|▎         | 1/28 [00:01<00:27,  1.01s/it]
  7%|▋         | 2/28 [00:01<00:23,  1.13it/s]
 11%|█         | 3/28 [00:02<00:23,  1.06it/s]
 14%|█▍        | 4/28 [00:03<00:23,  1.03it/s]
 18%|█▊        | 5/28 [00:04<00:22,  1.01it/s]
 21%|██▏       | 6/28 [00:05<00:21,  1.00it/s]
 25%|██▌       | 7/28 [00:06<00:21,  1.00s/it]
 29%|██▊       | 8/28 [00:07<00:20,  1.01s/it]
 32%|███▏      | 9/28 [00:08<00:19,  1.01s/it]
 36%|███▌      | 10/28 [00:09<00:18,  1.01s/it]
 39%|███▉      | 11/28 [00:10<00:17,  1.02s/it]
 43%|████▎     | 12/28 [00:11<00:16,  1.02s/it]
 46%|████▋     | 13/28 [00:13<00:15,  1.02s/it]
 50%|█████     | 14/28 [00:14<00:14,  1.02s/it]
 54%|█████▎    | 15/28 [00:15<00:13,  1.02s/it]
 57%|█████▋    | 16/28 [00:16<00:12,  1.02s/it]
 61%|██████    | 17/28 [00:17<00:11,  1.02s/it]
 64%|██████▍   | 18/28 [00:18<00:10,  1.02s/it]
 68%|██████▊   | 19/28 [00:19<00:09,  1.02s/it]
 71%|███████▏  | 20/28 [00:20<00:08,  1.02s/it]
 75%|███████▌  | 21/28 [00:21<00:07,  1.02s/it]
 79%|███████▊  | 22/28 [00:22<00:06,  1.02s/it]
 82%|████████▏ | 23/28 [00:23<00:05,  1.02s/it]
 86%|████████▌ | 24/28 [00:24<00:04,  1.02s/it]
 89%|████████▉ | 25/28 [00:25<00:03,  1.02s/it]
 93%|█████████▎| 26/28 [00:26<00:02,  1.02s/it]
 96%|█████████▋| 27/28 [00:27<00:01,  1.02s/it]
100%|██████████| 28/28 [00:28<00:00,  1.02s/it]
100%|██████████| 28/28 [00:28<00:00,  1.01s/it]
Potential NSFW content was detected in one or more images. A black image will be returned instead. Try again with a different prompt and/or seed.
NSFW content detected in image 0

Examples

View more examples

Run time and cost

This model runs on Nvidia H100 GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

AI ASCII Image Generator This repository hosts an AI-powered ASCII Image Generator that converts text prompts into ASCII art. The generator is fine-tuned on the Flux1 Dev model, specifically designed for text-to-image tasks. By using the trigger word “ASCII” in your prompt, you can generate detailed ASCII art representations of your descriptions.

Features Text-to-Image Conversion: Converts descriptive text prompts into ASCII art images. Trigger Word: Use “ASCII” in your prompt to activate the ASCII art generation. Customizable Output: Adjust the level of detail and character set to suit your artistic needs. Fast Processing: Hosted on Replicate, offering quick and efficient generation.

How It Works Input: Provide a text prompt that includes the trigger word “ASCII”. Processing: The model processes the prompt and generates an ASCII art representation. Output: The ASCII art image is returned, ready for use in various digital projects.