""" Plugin for generating images using self-hosted Stable Diffusion and sending them to a Matrix chat room. """ import requests import base64 import tempfile import os from asyncio import Queue import argparse import simplematrixbotlib as botlib import markdown2 from slugify import slugify # Queue to store pending commands command_queue = Queue() def slugify_prompt(prompt: str) -> str: """ Generates a URL-friendly slug from the given prompt. Args: prompt (str): The prompt to slugify. Returns: str: A URL-friendly slug version of the prompt. """ return slugify(prompt) def markdown_to_html(markdown_text: str) -> str: """ Converts Markdown text to HTML. Args: markdown_text (str): The Markdown text to convert. Returns: str: The HTML version of the input Markdown text. """ return markdown2.markdown(markdown_text) async def process_command(room, message, bot, prefix, config): """ Processes !sd commands and queues them if already running. Args: room: Matrix room object message: Matrix message object bot: Bot instance prefix: Command prefix config: Bot config object """ match = botlib.MessageMatch(room, message, bot, prefix) if match.prefix() and match.command("sd"): if command_queue.empty(): await handle_command(room, message, bot, prefix, config) else: await command_queue.put((room, message, bot, prefix, config)) await bot.api.send_text_message(room.room_id, "Command queued. Please wait for the current image to finish.") async def handle_command(room, message, bot, prefix, config): """ Handles !sd command: generates image using Stable Diffusion API. Args: room: Matrix room object message: Matrix message object bot: Bot instance prefix: Command prefix config: Bot config object """ match = botlib.MessageMatch(room, message, bot, prefix) if not (match.prefix() and match.command("sd")): return # Check if API is available try: health_check = requests.get("http://127.0.0.1:7860/docs", timeout=3) if health_check.status_code != 200: await bot.api.send_text_message(room.room_id, "Stable Diffusion API is not running!") return except Exception: await bot.api.send_text_message(room.room_id, "Could not reach Stable Diffusion API!") return try: # Parse command-line arguments parser = argparse.ArgumentParser(description='Generate images using self-hosted Stable Diffusion') parser.add_argument('--steps', type=int, default=4, help='Number of steps, default=4') parser.add_argument('--cfg', type=int, default=2, help='CFG scale, default=2') parser.add_argument('--h', type=int, default=512, help='Height of the image, default=512') parser.add_argument('--w', type=int, default=512, help='Width of the image, default=512') parser.add_argument('--neg', type=str, nargs='+', default=['((((ugly)))), (((duplicate))), ((morbid)), ((mutilated)), out of frame, extra fingers, mutated hands, ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), (((deformed))), ((ugly)), blurry, ((bad anatomy)), (((bad proportions))), ((extra limbs)), cloned face, (((disfigured))), out of frame, ugly, extra limbs, (bad anatomy), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck)))'], help='Negative prompt') parser.add_argument('--sampler', type=str, nargs='*', default=['DPM++', 'SDE'], help='Sampler name, default=DPM++ SDE') parser.add_argument('prompt', type=str, nargs='*', help='Prompt for the image') args = parser.parse_args(message.body.split()[1:]) # skip command prefix if not args.prompt: raise argparse.ArgumentError(None, "Prompt is required.") prompt = ' '.join(args.prompt) sampler_name = ' '.join(args.sampler) neg_prompt = ' '.join(args.neg) payload = { "prompt": prompt, "steps": args.steps, "negative_prompt": neg_prompt, "sampler_name": sampler_name, "cfg_scale": args.cfg, "width": args.w, "height": args.h, } url = "http://127.0.0.1:7860/sdapi/v1/txt2img" response = requests.post(url=url, json=payload, timeout=600) r = response.json() # Use secure temporary file with tempfile.NamedTemporaryFile(suffix='.jpg', delete=False) as temp_file: filename = temp_file.name temp_file.write(base64.b64decode(r['images'][0])) # Send image to Matrix room await bot.api.send_image_message(room_id=room.room_id, image_filepath=filename) # Optional: send info about generated image neg_prompt_clean = neg_prompt.replace(" ", "") info_msg = f"""
🔍 Image InfoPrompt: {prompt[:100]}
Steps: {args.steps}
Dimensions: {args.h}x{args.w}
Sampler: {sampler_name}
CFG Scale: {args.cfg}
Negative Prompt: {neg_prompt_clean}
""" # await bot.api.send_markdown_message(room.room_id, info_msg) # Clean up temp file os.remove(filename) except argparse.ArgumentError as e: await bot.api.send_text_message(room.room_id, f"Argument Error: {e}") await bot.api.send_markdown_message(room.room_id, "
Stable Diffusion Help" + print_help() + "
") except Exception as e: await bot.api.send_text_message(room.room_id, f"Error processing the command: {str(e)}") finally: # Process next queued command if not command_queue.empty(): next_command = await command_queue.get() await handle_command(*next_command) def print_help(): """ Generates help text for the 'sd' command. Returns: str: Help text for the 'sd' command. """ return """

Generate images using self-hosted Stable Diffusion

Positional arguments:

Default Negative Prompts: ((((ugly)))), (((duplicate))), ((morbid)), ((mutilated)), out of frame, extra fingers, mutated hands, ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), (((deformed))), ((ugly)), blurry, ((bad anatomy)), (((bad proportions))), ((extra limbs)), cloned face, (((disfigured))), out of frame, ugly, extra limbs, (bad anatomy), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck)))

Optional arguments:

LORA List:

Load LORAs like this:

"""