229 lines
7.6 KiB
Python
229 lines
7.6 KiB
Python
import json
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import requests
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import io
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import re
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import os
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import uuid
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import base64
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from datetime import datetime
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from PIL import Image, PngImagePlugin
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from pyrogram import Client, filters
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from pyrogram.types import InlineKeyboardButton, InlineKeyboardMarkup
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from dotenv import load_dotenv
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# Load environment variables
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load_dotenv()
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API_ID = os.environ.get("API_ID", None)
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API_HASH = os.environ.get("API_HASH", None)
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TOKEN = os.environ.get("TOKEN", None)
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SD_URL = os.environ.get("SD_URL", None)
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app = Client("stable", api_id=API_ID, api_hash=API_HASH, bot_token=TOKEN)
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IMAGE_PATH = 'images' # Do not leave a trailing /
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# Ensure IMAGE_PATH directory exists
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os.makedirs(IMAGE_PATH, exist_ok=True)
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# Default params
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steps_value_default = 40
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def timestamp():
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return datetime.now().strftime("%Y%m%d-%H%M%S")
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def encode_file_to_base64(path):
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with open(path, 'rb') as file:
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return base64.b64encode(file.read()).decode('utf-8')
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def decode_and_save_base64(base64_str, save_path):
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with open(save_path, "wb") as file:
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file.write(base64.b64decode(base64_str))
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def parse_input(input_string):
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default_payload = {
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"prompt": "",
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"negative_prompt": "",
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"controlnet_input_image": [],
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"controlnet_mask": [],
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"controlnet_module": "",
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"controlnet_model": "",
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"controlnet_weight": 1,
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"controlnet_resize_mode": "Scale to Fit (Inner Fit)",
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"controlnet_lowvram": False,
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"controlnet_processor_res": 64,
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"controlnet_threshold_a": 64,
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"controlnet_threshold_b": 64,
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"controlnet_guidance": 1,
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"controlnet_guessmode": True,
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"enable_hr": False,
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"denoising_strength": 0.4,
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"hr_scale": 1.5,
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"hr_upscale": "Latent",
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"seed": -1,
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"subseed": -1,
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"subseed_strength": -1,
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"sampler_index": "",
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"batch_size": 1,
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"n_iter": 1,
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"steps": 35,
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"cfg_scale": 7,
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"width": 512,
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"height": 512,
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"restore_faces": True,
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"override_settings": {},
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"override_settings_restore_afterwards": True,
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}
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payload = {"prompt": ""}
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prompt = []
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matches = re.finditer(r"(\w+):", input_string)
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last_index = 0
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for match in matches:
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key = match.group(1).lower()
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value_start_index = match.end()
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if last_index != match.start():
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prompt.append(input_string[last_index: match.start()].strip())
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last_index = value_start_index
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if key in default_payload:
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value_end_index = re.search(r"(?=\s+\w+:|$)", input_string[value_start_index:]).start()
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value = input_string[value_start_index: value_start_index + value_end_index].strip()
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if isinstance(default_payload[key], int):
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if value.isdigit():
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payload[key] = idefault_payloadnt(value)
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else:
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payload[key] = value
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last_index += value_end_index
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else:
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prompt.append(f"{key}:")
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payload["prompt"] = " ".join(prompt)
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if not payload["prompt"]:
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payload["prompt"] = input_string.strip()
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return payload
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def call_api(api_endpoint, payload):
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response = requests.post(f'{SD_URL}/{api_endpoint}', json=payload)
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response.raise_for_status()
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return response.json()
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def process_images(images, user_id, user_name):
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def generate_unique_name():
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unique_id = str(uuid.uuid4())[:7]
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return f"{user_name}-{unique_id}"
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word = generate_unique_name()
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for i in images:
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image = Image.open(io.BytesIO(base64.b64decode(i.split(",", 1)[0])))
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png_payload = {"image": "data:image/png;base64," + i}
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response2 = requests.post(f"{SD_URL}/sdapi/v1/png-info", json=png_payload)
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response2.raise_for_status()
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pnginfo = PngImagePlugin.PngInfo()
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pnginfo.add_text("parameters", response2.json().get("info"))
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image.save(f"{IMAGE_PATH}/{word}.png", pnginfo=pnginfo)
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return word, response2.json().get("info")
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@app.on_message(filters.command(["draw"]))
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def draw(client, message):
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msgs = message.text.split(" ", 1)
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if len(msgs) == 1:
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message.reply_text("Format :\n/draw < text to image >\nng: < negative (optional) >\nsteps: < steps value (1-70, optional) >")
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return
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payload = parse_input(msgs[1])
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print(payload)
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K = message.reply_text("Please Wait 10-15 Seconds")
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r = call_api('sdapi/v1/txt2img', payload)
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for i in r["images"]:
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word, info = process_images([i], message.from_user.id, message.from_user.first_name)
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seed_value = info.split(", Seed: ")[1].split(",")[0]
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caption = f"**[{message.from_user.first_name}](tg://user?id={message.from_user.id})**\n\n"
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for key, value in payload.items():
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caption += f"{key.capitalize()} - **{value}**\n"
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caption += f"Seed - **{seed_value}**\n"
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message.reply_photo(photo=f"{IMAGE_PATH}/{word}.png", caption=caption)
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K.delete()
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@app.on_message(filters.command(["img"]))
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def img2img(client, message):
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if not message.reply_to_message or not message.reply_to_message.photo:
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message.reply_text("""
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reply to an image with
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/img <prompt> ds:0-1.0
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ds is for Denoising_strength. Set that low (like 0.2) if you just want to slightly change things. defaults to 0.4
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""")
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return
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msgs = message.text.split(" ", 1)
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if len(msgs) == 1:
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message.reply_text("""
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Format :\n/img <prompt>
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force: < 0.1-1.0, default 0.3 >
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""")
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return
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payload = parse_input(msgs[1])
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print(payload)
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photo = message.reply_to_message.photo
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photo_file = app.download_media(photo)
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init_image = encode_file_to_base64(photo_file)
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os.remove(photo_file) # Clean up downloaded image file
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payload["init_images"] = [init_image]
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payload["denoising_strength"] = 0.3 # Set default denoising strength or customize as needed
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K = message.reply_text("Please Wait 10-15 Seconds")
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r = call_api('sdapi/v1/img2img', payload)
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for i in r["images"]:
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word, info = process_images([i], message.from_user.id, message.from_user.first_name)
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caption = f"**[{message.from_user.first_name}](tg://user?id={message.from_user.id})**\n\n"
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prompt = payload["prompt"]
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caption += f"**{prompt}**\n"
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message.reply_photo(photo=f"{IMAGE_PATH}/{word}.png", caption=caption)
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K.delete()
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@app.on_message(filters.command(["getmodels"]))
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async def get_models(client, message):
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response = requests.get(f"{SD_URL}/sdapi/v1/sd-models")
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response.raise_for_status()
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models_json = response.json()
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buttons = [
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[InlineKeyboardButton(model["title"], callback_data=model["model_name"])]
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for model in models_json
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]
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await message.reply_text("Select a model [checkpoint] to use", reply_markup=InlineKeyboardMarkup(buttons))
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@app.on_callback_query()
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async def process_callback(client, callback_query):
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sd_model_checkpoint = callback_query.data
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options = {"sd_model_checkpoint": sd_model_checkpoint}
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response = requests.post(f"{SD_URL}/sdapi/v1/options", json=options)
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response.raise_for_status()
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await callback_query.message.reply_text(f"Checkpoint set to {sd_model_checkpoint}")
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@app.on_message(filters.command(["start"], prefixes=["/", "!"]))
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async def start(client, message):
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buttons = [[InlineKeyboardButton("Add to your group", url="https://t.me/gootmornbot?startgroup=true")]]
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await message.reply_text("Hello!\nAsk me to imagine anything\n\n/draw text to image", reply_markup=InlineKeyboardMarkup(buttons))
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app.run()
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