Stable Diffusion Telegram Bot Github В Telegram
Stable Diffusion Telegram Bot Github В Telegram
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👉 https://t.me/WrOTGJbPi0Ada0hSV9
👉 https://t.me/WrOTGJbPi0Ada0hSV9
👉 https://t.me/WrOTGJbPi0Ada0hSV9
👉 https://t.me/WrOTGJbPi0Ada0hSV9
👉 https://t.me/WrOTGJbPi0Ada0hSV9
Title: Stable Diffusion Telegram Bot: Creating Art with Code on Telegram via Github
Stable Diffusion, an open-source text-to-image model, has taken the AI community by storm with its impressive ability to generate realistic and creative images based on text descriptions. The project has gained significant attention due to its potential in various applications, including art generation and entertainment. In this article, we will discuss how to create and use a Stable Diffusion Telegram bot that allows users to generate images directly in the Telegram messaging app.
First, let's briefly introduce the required technologies:
1. Stable Diffusion: An open-source text-to-image model developed by Runway ML. You can find more information and access the model on the official GitHub repository: https://github.com/runwayml/stable-diffusion
2. Telegram: A popular messaging app with a large user base and extensive API capabilities.
3. Python: The programming language used for building the bot.
To create a Stable Diffusion Telegram bot, follow these steps:
**Step 1: Clone the Stable Diffusion repository**
Begin by cloning the Stable Diffusion repository from GitHub to your local machine:
```bash
git clone https://github.com/runwayml/stable-diffusion.git
cd stable-diffusion
```
**Step 2: Install dependencies**
Install the required dependencies using pip:
```bash
pip install -r requirements.txt
```
**Step 3: Set up Telegram Bot**
1. Create a new bot on Telegram: Go to https://telegram.me/bot and follow the instructions to create a new bot. Note down the bot token.
2. Add the bot as a member to your Telegram group or channel where you want to use the bot.
3. Install the python-telegram-bot library: `pip install python-telegram-bot`
**Step 4: Set up environment variables**
Create a `.env` file in the `stable-diffusion` directory and add the following environment variables:
```
TELEGRAM_TOKEN=<your_bot_token>
TELEGRAM_CHAT_ID=<your_chat_id>
```
Replace `<your_bot_token>` with your bot token and `<your_chat_id>` with the ID of the Telegram group or channel you added the bot to.
**Step 5: Create the bot script**
Create a new file `bot.py` in the `stable-diffusion` directory and write the following code:
```python
import os
from dotenv import load_dotenv
import telegram
from PIL import Image
import io
from stable_diffusion import StableDiffusion, Text Encoder, Upscaler
load_dotenv()
TELEGRAM_TOKEN = os.getenv("TELEGRAM_TOKEN")
TELEGRAM_CHAT_ID = os.getenv("TELEGRAM_CHAT_ID")
bot = telegram.Bot(token=TELEGRAM_TOKEN)
def generate_image(prompt):
model_path = "models/stable-diffusion-v1-5"
text_encoder = TextEncoder.from_pretrained(model_path)
model = StableDiffusion.from_pretrained(model_path)
model.to("cpu")
model.eval()
text_input = text_encoder.encode(prompt)
image = model.generate(text_input, height=256, width=256, num_inference_steps=50)
image = Upscaler.from_pretrained(model_path).upscale(image, size=512)
image = Image.fromarray(image.numpy())
buffer = io.BytesIO()
image.save(buffer, format="JPEG")
image_data = buffer.getvalue()
return image_data
def send_image(chat_id, image_data):
bot.send_photo(chat_id=chat_id, photo=image_data)
def main():
while True:
update = bot.get_updates()[0]
query = update["message"]["text"]
if query.startswith("/generate"):
prompt = query.split(" ")[1:]
image_data = generate_image(" ".join(prompt))
send_image(TELEGRAM_CHAT_ID, image_data)
bot.send_message(chat_id=update["message"]["chat"]["id"], text="Image generated!")
bot.polling()
if __name__ == "__main__":
main()
```
This script sets up the bot to listen for `/generate` commands and generates an image based on the provided text prompt.
**Step 6: Run the bot**
To run the bot, execute the following command in the terminal:
```bash
python bot.py
```
Now, users in your Telegram group or channel can generate images by sending `/generate <text_prompt>` commands, and the bot will respond with an image generated by Stable Diffusion based on the provided text.
In conclusion, creating a Stable Diffusion Telegram bot allows users to experience the power of Stable Diffusion's text-to-image generation capabilities directly within the Telegram messaging app. This opens up new possibilities for creative expression, entertainment, and exploration of the model's capabilities.
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