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AI Powered Art in a Telegram Bot!

this is a txt2img/img2img bot to converse with SDweb bot API running on tami telegram channel

How to


/draw <text> - send prompt text to the bot and it will draw an image
you can add negative_prompt using ng: <text>
you can add denoised intermediate steps using steps: <text>

basicly anything the /controlnet/txt2img API payload supports

  "prompt": "",
  "negative_prompt": "",
  "denoising_strength": 0.5,
  "seed": -1,
  "n_iter": 1,
  "steps": 20,
  "cfg_scale": 7

/draw a city street
and without people
/draw a city street ng: people
with more steps
/draw a city street ng: people steps: 50

to change the model use:
/getmodels - to get a list of models and then click to set it.

  • note1: Anything after ng will be considered as nergative prompt. a.k.a things you do not want to see in your diffusion!
  • note2: on negative_prompt (aka ng):
    thia is a bit of a black art. i took the recommended defaults for the Deliberate model from this fun alt-model spreadsheet.
  • note3: on steps - step of 1 will generate only the first "step" of bot hallucinations. the default is 40. higher will take longer and will give "better" image. range is hardcoded 1-70.
    see video


/img <prompt> ds:<0.0-1.0> - reply to an image with a prompt text and it will draw an image

you can add denoising_strength using ds:<float>
Set that low (like 0.2) if you just want to slightly change things. defaults to 0.4

basicly anything the /controlnet/img2img API payload supports


X/Y/Z script link, one powerfull thing

for prompt we use the Serach Replace option (a.k.a prompt s/r) exaplined


Install requirements using venv

python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

Install requirements using conda

conda create -n sdw python=3.8
conda activate sdw
pip install -r requirements.txt

Original README

My Bot uses Automatic1111's WebUI as the backend. Follow the directions on their repo for setup instructions.

Once you have WebUI set up, run webui.sh with the --api argument. You can also add other arguments such as --xformers to use xformers memory efficient attention.

You can use the web ui interface that Automatic1111 provides to select the model and VAE to use. Their repo has documentation on how to do so. I also recommend doing a test generation

Copy a file called .env_template into .env_template in the same folder as main.py. In the .env file fill out the following environment variables: TOKEN = xxxx, where xxxx is your telegram bot token. API_ID = xxxx, where xxxx is your telegram id api id. API_HASH = xxxx, where xxxx is your telegram id api hash. SD_URL = xxxx, where xxxx is your sd api url.

To get the API_ID and API_HASH, you need to create a new application on the Telegram's developer website. Here are the steps:

  1. Open browser and visit https://my.telegram.org and log in with your Telegram account.
  2. Click on "API development tools".
  3. Fill out the form to create a new application. You can enter any valid details you want.
  4. After you've created the application, you'll be given the API_ID and API_HASH.
  5. Once you have these, you can add them to your .env file:

Now, you can run the bot

python main.py