upload Lora/models
change readme
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Mikhail Guseletov
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35
README.md
35
README.md
@ -58,22 +58,35 @@ skip one or all generations
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_**help**
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help
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If you send file, view 2 command:
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_**uplora**
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_**uplmodel**
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Uploading files to folders:
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\models\Stable-diffusion
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\models\Lora
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You upload a file to Telegram, choose what it is and the file automatically goes to the folder.
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A forwarded message with a file also works.
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Please pay attention to the file size limit in Telegram API:
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[sending-files](https://core.telegram.org/bots/api#sending-files)
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[senddocument](https://core.telegram.org/bots/api#senddocument)
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<img src="https://raw.githubusercontent.com/partyfind/sd_bot/master/trash/photo_2023-06-22_15-29-24.jpg" alt="drawing" width="400"/>
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<img src="https://raw.githubusercontent.com/partyfind/sd_bot/master/trash/photo_2023-06-22_15-29-27.jpg" width="350"/>
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**TODO**
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1. use share link (not yet possible, because the API is running in the background)
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2. uploading Lora from TG
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3. uploading models from TG (~4gb)
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4. Logging
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5. show error in tg
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6. translate
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7. Get all files/pictures from the computer for today (preview and seeds)
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8. Several prompts in one via ;
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9. Ability to send everything with one command with settings
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10. Preloading photos when waiting for a long time so that you can skip
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11. Uploading random.json from export TG channel
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12. Progress in script
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2. Logging
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3. show error in tg
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4. translate
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5. Get all files/pictures from the computer for today (preview and seeds)
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6. Ability to send everything with one command with settings
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7. Preloading photos when waiting for a long time so that you can skip
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8. Uploading random.json from export TG channel
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9. Progress in script
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**TNX**
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[AUTOMATIC1111](https://github.com/AUTOMATIC1111/stable-diffusion-webui)
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59
bot.py
59
bot.py
@ -29,10 +29,10 @@ from transformers import GPT2Tokenizer, GPT2LMHeadModel
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import inspect
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from translate import Translator
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import base64
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from pathlib import Path
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# from https://t.me/BotFather
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API_TOKEN = "TOKEN_HERE"
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API_TOKEN = "900510503:AAG5Xug_JEERhKlf7dpOpzxXcJIzlTbWX1M"
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bot = Bot(token=API_TOKEN)
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storage = MemoryStorage()
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@ -57,6 +57,7 @@ api = webuiapi.WebUIApi(host=host, port=port)
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local = "http://" + host + ":" + port
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process = None
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sd = "❌"
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doc = ''
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data = getAttrtxt2img()
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data['prompt'] = 'cat in space' # Ý
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@ -334,7 +335,6 @@ def getOpt(returnAll = 1) -> InlineKeyboardMarkup:
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def getScripts(returnAll = 1) -> InlineKeyboardMarkup:
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keysArr = [
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InlineKeyboardButton("get_lora", callback_data="get_lora"),
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#InlineKeyboardButton("upload", callback_data="upload"),
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InlineKeyboardButton("rnd_mdl", callback_data="rnd_mdl"),
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InlineKeyboardButton("rnd_smp", callback_data="rnd_smp"),
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InlineKeyboardButton("inf", callback_data="inf"),
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@ -351,14 +351,6 @@ def getSet(returnAll = 1) -> InlineKeyboardMarkup:
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]
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return (getKeyboard(keysArr, returnAll))
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# Меню загрузки
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def getUpl(returnAll = 1) -> InlineKeyboardMarkup:
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keysArr = [
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InlineKeyboardButton("uplora", callback_data="uplora"),
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InlineKeyboardButton("uplmodel", callback_data="uplmodel"),
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]
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return (getKeyboard(keysArr, returnAll))
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# Меню галочек Да/Нет
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def getYesNo(returnAll = 1, nam = '') -> InlineKeyboardMarkup:
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keysArr = [
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@ -432,7 +424,7 @@ async def rnd_script(message, typeScript):
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text='Цикл по '+str(len(elements)) + (' моделям' if typeScript == 'models' else ' семплерам') + ', ' + dataPromptOld
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)
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for i, number in enumerate(numbers):
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time.sleep(2)
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time.sleep(5)
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for itemTxt in data['prompt'].split(';'):
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if typeScript == 'models':
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api.util_wait_for_ready()
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@ -547,25 +539,26 @@ async def inl_sd(message: Union[types.Message, types.CallbackQuery]) -> None:
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"SD запущена\n" + getTxt(), reply_markup=getStart()
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)
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# Вызов reset_param, сброс JSON
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@dp.message_handler(commands=["upload"])
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@dp.callback_query_handler(text="upload")
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async def inl_upload(message: Union[types.Message, types.CallbackQuery]) -> None:
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print("inl_upload")
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keyboard = InlineKeyboardMarkup(inline_keyboard=[getUpl(0), getSet(0), getOpt(0), getStart(0)])
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await message.answer(
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"Грузим LORA или Model?", reply_markup=keyboard
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)
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# upload Lora
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@dp.message_handler(commands=["uplora"])
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@dp.callback_query_handler(text="uplora")
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async def inl_uplora(message: Union[types.Message, types.CallbackQuery]) -> None:
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@dp.callback_query_handler(text="uplmodel")
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async def inl_uplora(callback: types.CallbackQuery) -> None:
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print("inl_uplora")
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keyboard = InlineKeyboardMarkup(inline_keyboard=[getUpl(0), getSet(0), getOpt(0), getStart(0)])
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await message.answer(
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"Вставьте LORA файлом", reply_markup=keyboard
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)
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global doc
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if callback.data == 'uplora':
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folder_path = Path('../../models/Lora')
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else:
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folder_path = Path('../../models/Stable-diffusion')
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file_id = doc.file_id
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file_name = doc.file_name
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destination_path = os.path.join(folder_path, file_name)
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file_path = folder_path / file_name
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if file_path.exists():
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await callback.message.reply(f"Файл '{file_name}' уже существует в {folder_path}")
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else:
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file_path = await bot.get_file(file_id)
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await file_path.download(destination_path)
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await callback.message.reply(f"Файл '{file_name}' загружен в {folder_path}")
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# Вызов reset_param, сброс JSON
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@dp.message_handler(commands=["reset_param"])
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@ -1049,6 +1042,18 @@ async def answer_handler(message: types.Message, state: FSMContext):
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f"JSON параметры:\n{getJson()}\n{getJson(1)}", reply_markup=keyboard
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)
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@dp.message_handler(content_types=['document'])
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async def handle_file(message: types.Message):
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print('handle_file')
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global doc
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doc = message.document
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keysArr = [InlineKeyboardButton("Lora", callback_data="uplora"),
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InlineKeyboardButton("Model", callback_data="uplmodel"),]
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await bot.send_message(
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chat_id=message.chat.id,
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text="Что грузим?",
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reply_markup=InlineKeyboardMarkup(inline_keyboard=[keysArr])
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)
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# -------- BOT POLLING ----------
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if __name__ == "__main__":
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