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https://github.com/jlowin/aimages
Generate images with hidden text
https://github.com/jlowin/aimages
Last synced: 3 months ago
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Generate images with hidden text
- Host: GitHub
- URL: https://github.com/jlowin/aimages
- Owner: jlowin
- Created: 2023-07-25T12:15:30.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2023-08-05T01:26:00.000Z (11 months ago)
- Last Synced: 2023-08-05T02:39:04.688Z (11 months ago)
- Language: Python
- Homepage:
- Size: 1.06 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Lists
- awesome-stars - jlowin/aimages - Generate images with hidden text (Python)
README
# AImages
A script for generating images that contain hidden text.
Blog post and motivation: https://www.factsmachine.ai/p/hidden-in-plain-sight
## Setup
### Modal
This script is designed to run on [Modal](www.modal.com) GPUs. Before running it, please set up your Modal account from your local machine. Please note that Modal is a commercial product
To run the script, clone this repo to your local machine and install the dependencies:
```
git clone https://github.com/jlowin/aimages
cd aimages
pip install -r requirements.txt
```
## Running
You'll need to create a control image. For best results, use a PNG of white text on a black background, like this one:
Run the script with Modal, replacing the path and prompt appropriately:
```
modal run sd_controlnet.py \
--control-image-path path/to/your/control/image \
--prompt "a prompt to generate the full image"
```
This will save an image on your computer.
Note: the first time you run this script, it will download all the model weights and create a Docker image for you. This can take a few minutes, but only needs to be done once. Subsequent runs should start in less than a minute and take only a few seconds to generate an image.
## Options
In addition to the control image and prompt, you can provide many options to control image generation:
| Setting | Default | Notes |
| --- | ---: | --- |
| `--seed` | | Provide an integer seed value to "fix" the model rather than using a random starting point. The seed for every model is always printed to the logs for reference. |
| `--steps` | 30 | The number of model iterations to run. |
| `--n` | 1 | The number of images to generate. |
| `--negative-prompt` | | Generated images will try to "avoid" this description |
| `--guidance-scale` | 7.5 | The strength of the prompt for the Stable Diffusion model. Values between 7-9 are generally recommended; higher values will attempt to represent prompts more literally. |
| `--controlnet-conditioning-scale` | 1.3 | The strength of the ControlNet. Values between 1-2 are effective; higher values make text more visible. |
| `--sd-model` | `Lykon/AbsoluteReality` |This script automatically downloads a few popular Stable Diffusion weights: `runwayml/stable-diffusion-v1-5` (the base SD model), as well as `SG161222/Realistic_Vision_V5.1_noVAE`, `Lykon/AbsoluteReality`, and `Lykon/DreamShaper`. You can choose any of them to adjust the style of your images. |