@@ -214,7 +214,7 @@ class NewBusinessHostSerializer(serializers.Serializer):
     usage_intensity = serializers.ChoiceField(choices=UsageIntensity.choices)
     ITN = serializers.IntegerField()
     PSRN = serializers.IntegerField()
-    company_name = serializers.CharField()
+    company_name = serializers.CharField(allow_blank=True)
     preferred_name = serializers.CharField(required=False)
     corporate_email = serializers.EmailField(required=False)
     corporate_phone = serializers.CharField(required=False)
@@ -2,13 +2,13 @@
 # Copyright (C) YEAR THE PACKAGE'S COPYRIGHT HOLDER
 # This file is distributed under the same license as the PACKAGE package.
 # FIRST AUTHOR <EMAIL@ADDRESS>, YEAR.
-# 
+#
 #, fuzzy
 msgid ""
 msgstr ""
 "Project-Id-Version: PACKAGE VERSION\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-04-09 17:28+0300\n"
+"POT-Creation-Date: 2026-04-28 15:28+0300\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language-Team: LANGUAGE <LL@li.org>\n"
@@ -189,7 +189,7 @@ msgid "Child Business Accounts"
 msgstr "Дочерние Бизнес Аккаунты"
 
 #: authentication/models/business_group.py:8 ml_model/models.py:17
-#: ml_model/models.py:37 ml_model/models.py:61 ml_model/models.py:268
+#: ml_model/models.py:37 ml_model/models.py:61 ml_model/models.py:269
 #: tools/chats/models.py:9 tools/media/models.py:59 tools/media/models.py:95
 msgid "Title"
 msgstr "Название"
@@ -206,8 +206,8 @@ msgstr "Бизнес Группы"
 #: authentication/models/email_token.py:13 authentication/models/user.py:222
 #: authentication/models/user.py:223 authentication/models/user_telegram.py:22
 #: authentication/models/user_vk.py:12 payments/admin.py:37
-#: payments/admin.py:95 payments/models/invoice.py:15
-#: payments/models/payment.py:26 payments/models/payment_plan.py:50
+#: payments/admin.py:98 payments/models/invoice.py:15
+#: payments/models/payment.py:26 payments/models/payment_plan.py:62
 #: tools/media/models.py:108
 msgid "User"
 msgstr "Пользователь"
@@ -363,7 +363,7 @@ msgstr "Админ"
 msgid "Security"
 msgstr "Безопасность"
 
-#: authentication/models/email_token.py:16 ml_model/models.py:270
+#: authentication/models/email_token.py:16 ml_model/models.py:271
 msgid "Key"
 msgstr "Ключ"
 
@@ -624,7 +624,7 @@ msgstr ""
 msgid "A %(model)s with fields %(fields)s already exists"
 msgstr "Уже существует %(model)s с полями %(fields)s"
 
-#: messages/serializers.py:44 ml_model/exceptions.py:68
+#: messages/serializers.py:44 ml_model/exceptions.py:78
 #, python-format
 msgid "The file size cannot exceed %(max_mb_size)d MB"
 msgstr "Файл не может быть размером больше %(max_mb_size)d мегабайт"
@@ -684,63 +684,76 @@ msgstr "Возможно, файл повреждён. Попробуйте за
 msgid "File Uploading Not supported"
 msgstr "Загрузка файлов не поддерживается"
 
-#: ml_model/exceptions.py:65
+#: ml_model/exceptions.py:70
 msgid "Unable to recognize the file"
 msgstr "Не удаётся распознать файл"
 
-#: ml_model/exceptions.py:73
+#: ml_model/exceptions.py:83
 msgid "The length of the context has been exceeded."
 msgstr "Длина контекста превышена."
 
-#: ml_model/exceptions.py:78
+#: ml_model/exceptions.py:88
 msgid "Jinja template not found"
 msgstr "Jinja-шаблон не найден"
 
-#: ml_model/exceptions.py:83
+#: ml_model/exceptions.py:93
 msgid "There was an unknown error while rendering a template"
 msgstr "При рендеринге шаблона произошла неизвестная ошибка"
 
-#: ml_model/exceptions.py:88
+#: ml_model/exceptions.py:98
 msgid "The neuron model does not exist"
 msgstr "Нейронная модель не существует"
 
-#: ml_model/exceptions.py:96
+#: ml_model/exceptions.py:106
 #, python-format
 msgid "The %(file_type)s is not attached"
 msgstr "Файл (%(file_type)s) не прикреплен"
 
-#: ml_model/exceptions.py:101
+#: ml_model/exceptions.py:111
 msgid "No image content found in response. Try a different request"
 msgstr "В промпте отсутствует описание изображения. Попробуйте другой запрос"
 
-#: ml_model/exceptions.py:106
+#: ml_model/exceptions.py:116
+msgid ""
+"The model could not analyze your request. Please rephrase it and try again"
+msgstr ""
+"Модель не смогла проанализировать ваш запрос. Перефразируйте его и "
+"попробуйте снова"
+
+#: ml_model/exceptions.py:121
 msgid "Image analysis error. Please try another image."
 msgstr "Ошибка анализа изображения. Попробуйте другую картинку."
 
-#: ml_model/exceptions.py:111
+#: ml_model/exceptions.py:126
 msgid "Use style type AUTO or GENERAL when a style preset is selected"
 msgstr "При выбранном стиле используйте тип стиля AUTO или GENERAL"
 
-#: ml_model/exceptions.py:116
+#: ml_model/exceptions.py:131
 msgid "Prediction interrupted. Please retry again"
 msgstr "Генерация прервана. Пожалуйста, повторите попытку еще раз"
 
-#: ml_model/exceptions.py:131
+#: ml_model/exceptions.py:146
 #, python-format
 msgid "Prompt is too long. Maximum length is %(max_length)s characters."
 msgstr "Промпт слишком длинный. Максимальная длина — %(max_length)s символов."
 
-#: ml_model/exceptions.py:138
+#: ml_model/exceptions.py:153
 msgid ""
 "Service is currently unavailable due to high demand. Please try again later"
 msgstr ""
 "Сервис временно недоступен из-за высокой нагрузки. Пожалуйста, попробуйте "
 "позже"
 
-#: ml_model/exceptions.py:143
+#: ml_model/exceptions.py:158
 msgid "Available only in paid plan"
 msgstr "Доступно только в платном тарифе"
 
+#: ml_model/exceptions.py:163
+#, fuzzy
+#| msgid "Image analysis error. Please try another image."
+msgid "Face not found in the image. Please try another image with a face."
+msgstr "Не найдено лицо на картинке. Попробуйте другую картинку с лицом."
+
 #: ml_model/models.py:18 ml_model/models.py:38 ml_model/models.py:70
 #: ml_model/models.py:182 tools/media/models.py:67
 msgid "Slug"
@@ -774,7 +787,7 @@ msgstr "Теги модели"
 msgid "Alternative Titles"
 msgstr "Альтернативные названия"
 
-#: ml_model/models.py:68 ml_model/models.py:181 ml_model/models.py:269
+#: ml_model/models.py:68 ml_model/models.py:181 ml_model/models.py:270
 #: payments/models/payment.py:52
 msgid "Description"
 msgstr "Описание"
@@ -795,7 +808,7 @@ msgstr "Теги"
 msgid "Neuron Model"
 msgstr "Нейронная Модель"
 
-#: ml_model/models.py:156 ml_model/models.py:402 payments/admin.py:101
+#: ml_model/models.py:156 ml_model/models.py:403 payments/admin.py:104
 msgid "Model"
 msgstr "Модель"
 
@@ -861,162 +874,166 @@ msgstr "ZIP архив"
 msgid "Audio"
 msgstr "Аудио"
 
-#: ml_model/models.py:234 ml_model/models.py:272
+#: ml_model/models.py:229 payments/tests/test_plans.py:31
+msgid "Video"
+msgstr "Видео"
+
+#: ml_model/models.py:235 ml_model/models.py:273
 #: payments/models/promocode.py:41
 msgid "Type"
 msgstr "Тип"
 
-#: ml_model/models.py:236 ml_model/models.py:283
+#: ml_model/models.py:237 ml_model/models.py:284
 msgid "Required"
 msgstr "Обязательный"
 
-#: ml_model/models.py:239
+#: ml_model/models.py:240
 #, python-format
 msgid "%(model_title)s | %(input_type)s"
 msgstr "%(model_title)s | %(input_type)s"
 
-#: ml_model/models.py:245
+#: ml_model/models.py:246
 msgid "Model Input"
 msgstr "Модель"
 
-#: ml_model/models.py:246
+#: ml_model/models.py:247
 msgid "Model Inputs"
 msgstr "Входящий поток модели"
 
-#: ml_model/models.py:251
+#: ml_model/models.py:252
 msgid "Integer"
 msgstr "Целое число"
 
-#: ml_model/models.py:252
+#: ml_model/models.py:253
 msgid "Float"
 msgstr "Вещественное число"
 
-#: ml_model/models.py:253
+#: ml_model/models.py:254
 msgid "String"
 msgstr "Строка"
 
-#: ml_model/models.py:256
+#: ml_model/models.py:257
 msgid "List"
 msgstr "Список"
 
-#: ml_model/models.py:260
+#: ml_model/models.py:261
 msgid "Float range"
 msgstr "Вещественный диапазон"
 
-#: ml_model/models.py:264
+#: ml_model/models.py:265
 msgid "Integer range"
 msgstr "Целочисленный диапазон"
 
-#: ml_model/models.py:266
+#: ml_model/models.py:267
 msgid "Logical"
 msgstr "Логический"
 
-#: ml_model/models.py:279
+#: ml_model/models.py:280
 msgid "Values"
 msgstr "Значения"
 
-#: ml_model/models.py:280
+#: ml_model/models.py:281
 msgid ""
 "These values can contain different interfaces and default value optional"
 msgstr ""
 "Значения могут содержать различные интерфейс и, опционально, значение по "
 "умолчанию"
 
-#: ml_model/models.py:282
+#: ml_model/models.py:283
 msgid "Hidden"
 msgstr "Скрытый"
 
-#: ml_model/models.py:288
+#: ml_model/models.py:289
 #, python-format
 msgid "Parameter of %(model_title)s"
 msgstr "Параметр %(model_title)s"
 
-#: ml_model/models.py:291
+#: ml_model/models.py:292
 msgid "Parameter"
 msgstr "Параметр"
 
-#: ml_model/models.py:292
+#: ml_model/models.py:293
 msgid "Parameters"
 msgstr "Параметры"
 
-#: ml_model/models.py:297
+#: ml_model/models.py:298
 msgid "Fixed"
 msgstr "Фикса"
 
-#: ml_model/models.py:298
+#: ml_model/models.py:299
 msgid "Per generation second"
 msgstr "За секунду генерации"
 
-#: ml_model/models.py:299
+#: ml_model/models.py:300
 msgid "Per one text token"
 msgstr "За один текстовый токен"
 
-#: ml_model/models.py:300
+#: ml_model/models.py:301
 msgid "Per image pixel"
 msgstr "За один пиксель"
 
-#: ml_model/models.py:303
+#: ml_model/models.py:304
 msgid "By input data"
 msgstr "По входящим данным"
 
-#: ml_model/models.py:304
+#: ml_model/models.py:305
 msgid "By output data"
 msgstr "По исходящим данным"
 
-#: ml_model/models.py:305
+#: ml_model/models.py:306
 msgid "By all data"
 msgstr "По всем данным"
 
-#: ml_model/models.py:310
+#: ml_model/models.py:311
 msgid "Strategy"
 msgstr "Стратегия"
 
-#: ml_model/models.py:315
+#: ml_model/models.py:316
 msgid "Interaction Type"
 msgstr "Тип взаимодействия"
 
-#: ml_model/models.py:320 payments/models/invoice.py:19
+#: ml_model/models.py:321 payments/models/invoice.py:19
 msgid "Cost"
 msgstr "Цена"
 
-#: ml_model/models.py:321
+#: ml_model/models.py:322
 msgid "In RUB, per specified strategy"
 msgstr "В рублях, за указанную стратегию"
 
-#: ml_model/models.py:326
+#: ml_model/models.py:327
 msgid "Coefficient"
 msgstr "Коэффициент"
 
-#: ml_model/models.py:327
+#: ml_model/models.py:328
 msgid "Cost multiplier"
 msgstr "Цена"
 
-#: ml_model/models.py:334
+#: ml_model/models.py:335
 msgid "Rate"
 msgstr "Ставка"
 
-#: ml_model/models.py:338
+#: ml_model/models.py:339
 msgid "Payment Rule"
 msgstr "Платежное правило"
 
-#: ml_model/models.py:339
+#: ml_model/models.py:340
 msgid "Payment Rules"
 msgstr "Платежные правила"
 
-#: ml_model/models.py:400
+#: ml_model/models.py:401
 msgid "Descriptor"
 msgstr "Дескриптор"
 
-#: ml_model/models.py:406
+#: ml_model/models.py:407
 #, python-format
 msgid "Instruction of %(model_title)s"
 msgstr "Инструкция %(model_title)s"
 
-#: ml_model/models.py:409
+#: ml_model/models.py:410
 msgid "Model Instruction"
 msgstr "Инструкция Модели"
 
-#: ml_model/models.py:410
+#: ml_model/models.py:411
 msgid "Model Instructions"
 msgstr "Инструкции Моделей"
 
@@ -1024,7 +1041,7 @@ msgstr "Инструкции Моделей"
 msgid "no model by this id"
 msgstr "Не найдено моделей по этому ID"
 
-#: ml_model/services/chatgpt.py:148
+#: ml_model/services/chatgpt.py:154
 msgid "No matching version found"
 msgstr "Соответствующая версия не найдена"
 
@@ -1032,6 +1049,20 @@ msgstr "Соответствующая версия не найдена"
 msgid "Image is ready"
 msgstr "Изображение готово"
 
+#: ml_model/services/hunyuan.py:103
+#, python-format
+msgid "This video duration is not allowed for %(quality)s quality."
+msgstr ""
+"Для качества %(quality)s такая продолжительность видео не поддерживается."
+
+#: ml_model/services/hunyuan.py:108
+msgid ""
+"Smooth motion mode is available only for 5-second videos at 540p and 720p "
+"quality"
+msgstr ""
+"Режим «Плавное движение» доступен только для 5-секундных видео в качестве "
+"540p и 720p"
+
 #: ml_model/services/minimaxmusic.py:58
 #: ml_model/services/minimaxmusic_lite.py:62
 msgid "Lyrics is too long"
@@ -1050,13 +1081,13 @@ msgstr "Нет изображения для улучшения"
 msgid "Model data cannot be retrieved"
 msgstr "Невозможно получить данные модели"
 
-#: payments/admin.py:35 payments/admin.py:67 payments/admin.py:93
+#: payments/admin.py:35 payments/admin.py:70 payments/admin.py:96
 msgid "You can search by user email, exacted company name"
 msgstr ""
 "Вы можете осуществлять поиск по e-mail пользователя, точному названию "
 "компании"
 
-#: payments/admin.py:40 payments/admin.py:98
+#: payments/admin.py:40 payments/admin.py:101
 msgid "Missing"
 msgstr "Отсутствующий"
 
@@ -1284,10 +1315,6 @@ msgstr "Чат-боты"
 msgid "Images"
 msgstr "Изображения"
 
-#: payments/tests/test_plans.py:31
-msgid "Video"
-msgstr "Видео"
-
 #: poller/models.py:11
 msgid "Address"
 msgstr "Адрес"
@@ -1324,7 +1351,7 @@ msgstr "Публичный API"
 msgid "Media"
 msgstr "Медиа"
 
-#: tools/chats/apis.py:197 tools/media/apis.py:201
+#: tools/chats/apis.py:201 tools/media/apis.py:207
 #: tools/public_api/views/base.py:100
 msgid ""
 "An unexpected generation error has occurred. Please try again later or use a "
@@ -1333,7 +1360,7 @@ msgstr ""
 "Произошла непредвиденная ошибка при генерации. Пожалуйста попробуйте позже "
 "или используйте другую модель"
 
-#: tools/chats/apis.py:253
+#: tools/chats/apis.py:257
 msgid "The message has already been deleted"
 msgstr "Сообщение уже было удалено"
 
@@ -1346,13 +1373,12 @@ msgstr "Чат %(id)s"
 msgid "Chat"
 msgstr "Чат"
 
-#: tools/media/apis.py:172
+#: tools/media/apis.py:175
 msgid ""
 "Temporary issues with the service, we are already working on a solution."
 msgstr "Временные неполадки с сервисом, мы уже работаем над их решением."
 
-#: tools/media/apis.py:248 tools/media/apis.py:283
-#: tools/public_api/views/ml_service.py:63
+#: tools/media/apis.py:254 tools/public_api/views/ml_service.py:63
 #: tools/public_api/views/ml_service.py:107
 msgid "Voice not found."
 msgstr "Голос не найден."
@@ -1365,6 +1391,7 @@ msgstr "Хранилище клонирования голоса"
 msgid "Voice clone stores"
 msgstr "Хранилища клонирования голоса"
 
+#: tools/media/models.py:54 tools/media/models.py:121
 #: tools/media/models.py:54 tools/media/models.py:121
 msgid "Voice"
 msgstr "Голос"
@@ -1377,6 +1404,7 @@ msgstr "Инструментал"
 msgid "Kind"
 msgstr "Тип"
 
+#: tools/media/models.py:72 tools/media/models.py:105
 #: tools/media/models.py:72 tools/media/models.py:105
 msgid "File"
 msgstr "Файл"
@@ -1401,22 +1429,36 @@ msgstr ""
 msgid "Изменён"
 msgstr ""
 
+#: tools/media/models.py:102
+#: tools/media/models.py:93
+msgid "Создан"
+msgstr ""
+
+#: tools/media/models.py:94
+msgid "Изменён"
+msgstr ""
+
 #: tools/media/models.py:102
 msgid "Only MP3, OGG, WAV and WEBA audio files are allowed."
 msgstr "Разрешены только аудиофайлы MP3, OGG, WAV и WEBA."
 
+#: tools/media/models.py:110
 #: tools/media/models.py:110
 msgid "Transcription"
 msgstr "Транскрипция"
 
+#: tools/media/models.py:114
 #: tools/media/models.py:114
 msgid "Unknown file"
 msgstr "Неизвестный файл"
 
+#: tools/media/models.py:122
 #: tools/media/models.py:122
 msgid "Voices"
 msgstr "Голоса"
 
+#: tools/media/routes/v1.py:76 tools/public_api/views/voice.py:86
+#: tools/public_api/views/voice.py:98
 #: tools/media/routes/v1.py:76 tools/public_api/views/voice.py:86
 #: tools/public_api/views/voice.py:98
 msgid "Voice not found"
@@ -1456,18 +1498,22 @@ msgstr ""
 msgid "The request must not be empty"
 msgstr "Запрос не должен быть пустым"
 
+#: tools/public_api/views/ml_service.py:128
 #: tools/public_api/views/ml_service.py:128
 msgid "You must provide a model parameter"
 msgstr "Необходимо указать параметр 'model'"
 
+#: tools/public_api/views/ml_service.py:143
 #: tools/public_api/views/ml_service.py:143
 msgid "Missing required parameter: 'messages'"
 msgstr "Отсутствует обязательный параметр: 'messages'"
 
+#: tools/public_api/views/ml_service.py:193
 #: tools/public_api/views/ml_service.py:193
 msgid "Model not found"
 msgstr "Модель не найдена"
 
+#: tools/public_api/views/voice.py:44
 #: tools/public_api/views/voice.py:44
 msgid "Your voice has been uploaded successfully"
 msgstr "Ваш голос успешно загружен"
@@ -1477,10 +1523,17 @@ msgid "Preset voices are shared and cannot be edited. Use your own voice id."
 msgstr ""
 "Пресеты общие для всех — их нельзя редактировать. Укажите id своего голоса."
 
+#: tools/public_api/views/voice.py:87
+#: tools/public_api/views/voice.py:77
+msgid "Preset voices are shared and cannot be edited. Use your own voice id."
+msgstr ""
+"Пресеты общие для всех — их нельзя редактировать. Укажите id своего голоса."
+
 #: tools/public_api/views/voice.py:87
 msgid "Voice title updated successfully"
 msgstr "Название голоса успешно обновлено"
 
+#: tools/public_api/views/voice.py:93
 #: tools/public_api/views/voice.py:93
 msgid "Preset voices are shared and cannot be deleted. Use your own voice id."
 msgstr "Пресеты общие для всех — их нельзя удалить. Укажите id своего голоса."
@@ -1562,16 +1615,6 @@ msgstr "Пресеты общие для всех — их нельзя удал
 #~ msgid "Issued achievement"
 #~ msgstr "Выданное достижение"
 
-msgid "Smooth motion mode is available only for 5-second videos at 540p and 720p quality"
-msgstr "Режим «Плавное движение» доступен только для 5-секундных видео в качестве 540p и 720p"
-
-#, python-format
-msgid "This video duration is not allowed for %(quality)s quality."
-msgstr "Для качества %(quality)s такая продолжительность видео не поддерживается."
-
-msgid "The model could not analyze your request. Please rephrase it and try again"
-msgstr "Модель не смогла проанализировать ваш запрос. Перефразируйте его и попробуйте снова"
-
 #~ msgid "Account is already confirmed"
 #~ msgstr "Аккаунт уже подтвержден"
 
@@ -7,23 +7,24 @@ from ml_model.services.dalle import Dalle
 from ml_model.services.deepl import Deepl
 from ml_model.services.deepseek import Deepseek
 from ml_model.services.djourney import Djourney
-from ml_model.services.epicphotogasm import Epicphotogasm
-from ml_model.services.elevenlabs_music import Elevenlabs_Music
 from ml_model.services.elevenlabs import Elevenlabs
+from ml_model.services.elevenlabs_music import Elevenlabs_Music
+from ml_model.services.epicphotogasm import Epicphotogasm
 from ml_model.services.flux import Flux
 from ml_model.services.flux_2 import Flux_2
 from ml_model.services.fluxkrea import Fluxkrea
 from ml_model.services.fluxlorafast import Fluxlorafast
 from ml_model.services.fluxproultra import Fluxproultra
+from ml_model.services.fluxpulid import Fluxpulid
 from ml_model.services.gemini import Gemini
 from ml_model.services.gemini_3_1 import Gemini_3_1
-from ml_model.services.gemma import Gemma
 from ml_model.services.geminiimage import Geminiimage
+from ml_model.services.gemma import Gemma
 from ml_model.services.gptimage import Gptimage
 from ml_model.services.granite import Granite
 from ml_model.services.grok import Grok
-from ml_model.services.grok_image import Grok_Image
 from ml_model.services.grok_4_1_fast import Grok_4_1_Fast
+from ml_model.services.grok_image import Grok_Image
 from ml_model.services.grok_imagine_video import Grok_Imagine_Video
 from ml_model.services.hailuo import Hailuo
 from ml_model.services.hunyuan import Hunyuan
@@ -36,22 +37,22 @@ from ml_model.services.leonardo import Leonardo
 from ml_model.services.lightning import Lightning
 from ml_model.services.llama import Llama
 from ml_model.services.logoai import Logoai
-from ml_model.services.lyria import Lyria
 from ml_model.services.ltx import Ltx
+from ml_model.services.lyria import Lyria
 from ml_model.services.midjourney import Midjourney
-from ml_model.services.minimaxvideo import Minimaxvideo
 from ml_model.services.minimaxmusic import Minimaxmusic
 from ml_model.services.minimaxmusic_lite import Minimaxmusic_Lite
+from ml_model.services.minimaxvideo import Minimaxvideo
 from ml_model.services.mistral import Mistral
 from ml_model.services.musicgen import Musicgen
 from ml_model.services.nanobanana import Nanobanana
 from ml_model.services.nanobanana_2 import Nanobanana_2
 from ml_model.services.perplexity import Perplexity
-from ml_model.services.pulid import Pulid
 from ml_model.services.photon import Photon
 from ml_model.services.pixverse import Pixverse
-from ml_model.services.prunaai import Prunaai
 from ml_model.services.pruna_v import Pruna_V
+from ml_model.services.prunaai import Prunaai
+from ml_model.services.pulid import Pulid
 from ml_model.services.qwen import Qwen
 from ml_model.services.qwen_235B import Qwen_235B
 from ml_model.services.qwen_3_5 import Qwen_3_5
@@ -62,9 +63,9 @@ from ml_model.services.recraft import Recraft
 from ml_model.services.reve import Reve
 from ml_model.services.runway import Runway
 from ml_model.services.sdxlemoji import Sdxlemoji
+from ml_model.services.seedance import Seedance
 from ml_model.services.seedream import Seedream
 from ml_model.services.sora import Sora
-from ml_model.services.seedance import Seedance
 from ml_model.services.stablediffusion import Stablediffusion
 from ml_model.services.stablemusic import Stablemusic
 from ml_model.services.suno import Suno
@@ -0,0 +1,91 @@
+from datetime import timedelta
+from decimal import Decimal
+from io import BytesIO
+import time
+from typing import Any
+
+from django.core.files import File
+from replicate.exceptions import ModelError
+import requests
+
+from messages.models.message import Message
+from ml_model.exceptions import FaceNotFoundError, GenerationException, RequestBlocked
+from ml_model.models import ModelParameter
+from ml_model.services.base import SimpleService
+from ml_model.tasks import replicate_run
+from payments.exceptions.insufficient_balance import InsufficientBalance
+from payments.selectors.payment_plan_selector import PaymentPlanSelector
+
+
+class Fluxpulid(SimpleService):
+    TOKEN_COST = Decimal('15.0')
+    ENDPOINT = 'bytedance/flux-pulid:8baa7ef2255075b46f4d91cd238c21d31181b3e6a864463f967960bb0112525b'
+
+    @classmethod
+    def predict_price(cls, content: str, file_exists: bool, info: dict[str, Any]) -> Decimal | None:
+        price = info.get('num_outputs', 1) * cls.TOKEN_COST
+
+        return price.quantize(Decimal('0.1'), rounding='ROUND_UP')
+
+    def calculate_price(self, num_outputs: int) -> Decimal:
+        price = num_outputs * self.TOKEN_COST
+
+        return price.quantize(Decimal('0.1'), rounding='ROUND_UP')
+
+    def save_results(self, content: str, images: list, t: timedelta, save: bool = True) -> list[Message]:
+        messages: list[Message] = []
+        for image in images:
+            messages.append(
+                Message(
+                    content_object=self.store,
+                    elapsed_time=t,
+                    content=content,
+                    file=File(BytesIO(requests.get(image.url).content), '.png'),
+                )
+            )
+
+        if save:
+            return Message.objects.bulk_create(messages)
+
+        return messages
+
+    def make(self, input_message: Message, save: bool = True) -> list[Message]:
+        num_outputs = input_message.info.get('num_outputs', 1)
+        if (balance := PaymentPlanSelector(self.store.user).get_current_balance()) < (
+            cost := self.TOKEN_COST * num_outputs
+        ):
+            raise InsufficientBalance(balance, cost)
+
+        size = input_message.info.pop('size', '1024x1024')
+        width, height = size.split('x')
+
+        translated_prompt = self.translate_prompt(input_message.content)
+        callback_data = dict(
+            {
+                'prompt': translated_prompt,
+                'main_face_image': BytesIO(input_message.file.read()),
+                'output_quality': 100,
+                'output_format': 'png',
+                'max_sequence_length': 256,
+                'width': width,
+                'height': height,
+                **input_message.info,
+            }
+        )
+        start_time = time.time()
+        try:
+            images = replicate_run(self.ENDPOINT, callback_data)
+        except ModelError as exc:
+            if any(error in str(exc) for error in ('E005', 'E006', 'sexual')):
+                raise RequestBlocked
+            elif exc.prediction.error == 'facexlib align face fail':
+                raise FaceNotFoundError
+            raise GenerationException from exc
+
+        process_time = timedelta(seconds=(time.time() - start_time))
+        if num_outputs == 1:
+            images = [images]
+        self.handle_invoice(input_message.content_object.model, len(images))
+        msgs = self.save_results(input_message.content, images, process_time, save)
+
+        return msgs
@@ -1,77 +1,119 @@
 import base64
 import logging
+import math
 import time
 from datetime import timedelta
 from decimal import Decimal
 from io import BytesIO
 
+import filetype
 import httpx
+import tiktoken
 from django.core.files import File
+from django.core.files.images import get_image_dimensions
 
 from backend import settings
 from messages.models import BaseStore, Message
-from ml_model.exceptions import RequestBlocked, GenerationException
+from ml_model.exceptions import (
+    CorruptedFileError,
+    FileExtensionNotSupported,
+    GenerationException,
+    RequestBlocked,
+)
 from ml_model.services.base import SimpleService
+from payments.exceptions.insufficient_balance import InsufficientBalance
+from payments.selectors.payment_plan_selector import PaymentPlanSelector
 from poller.models import Proxy
 
 
 class Gptimage(SimpleService):
-    """
-    GPTImage Service
-    contains abstract method make, which makes a generation
-    """
-
     TOKENS_COST = {
-        'gpt-image-1': {
+        'gpt-image-2': {
             'input': Decimal('0.0025'),
             'image': {
-                'input': Decimal('0.005'),
-                'output': Decimal('0.02'),
-                'generation': {
-                    'low': {
-                        '1024x1024': Decimal('5.5'),
-                        '1024x1536': Decimal('8'),
-                        '1536x1024': Decimal('8'),
-                    },
-                    'medium': {
-                        '1024x1024': Decimal('21'),
-                        '1024x1536': Decimal('31.5'),
-                        '1536x1024': Decimal('31.5'),
-                    },
-                    'high': {
-                        '1024x1024': Decimal('83.5'),
-                        '1024x1536': Decimal('125'),
-                        '1536x1024': Decimal('125'),
-                    },
-                },
+                'input': Decimal('0.004'),
+                'output': Decimal('0.015'),
             },
-        }
+        },
+    }
+    QUALITY = {
+        'Низкое': 'low',
+        'Высокое': 'medium',
+    }
+    SIZE_TOKENS = {
+        'low': {
+            '1024x1024': 196,
+            '1536x1024': 158,
+            '1024x1536': 158,
+        },
+        'medium': {
+            '1024x1024': 1756,
+            '1536x1024': 1372,
+            '1024x1536': 1372,
+        },
     }
-
     def __init__(self, store: BaseStore) -> None:
         super().__init__(store)
         self.logger = logging.getLogger(self.__class__.__name__)
 
+    def calculate_price(self, text_tokens: int, image_tokens: int, output_tokens: int) -> Decimal:
+        price = (
+            text_tokens * self.TOKENS_COST['gpt-image-2']['input']
+            + image_tokens * self.TOKENS_COST['gpt-image-2']['image']['input']
+            + output_tokens * self.TOKENS_COST['gpt-image-2']['image']['output']
+        )
+        return price.quantize(Decimal('0.1'), rounding='ROUND_UP')
+
+    def save_results(self, prompt: str, image: bytes, time: timedelta, save: bool = True) -> list[Message]:
+        messages: list[Message] = []
+        image_bytes = base64.b64decode(image)
+        messages.append(
+            Message(
+                content_object=self.store,
+                elapsed_time=time,
+                content=prompt,
+                file=File(BytesIO(image_bytes), '.png'),
+            )
+        )
+        if save:
+            return Message.objects.bulk_create(messages)
+        return messages
+
     def make(self, input_message: Message, save: bool = True) -> list[Message]:
         info = input_message.info.copy()
-        files = None
+        size = info.get('size', '1024x1024')
+        quality = self.QUALITY[info.get('quality', 'Низкое')]
+        w, h = 0, 0
+        if file := input_message.file:
+            file_bytes = file.read()
+            kind = filetype.guess(file_bytes[:20])
+            if not kind:
+                raise CorruptedFileError
+            if kind.extension.upper() not in (extensions := ['PNG', 'JPG', 'JPEG', 'WEBP']):
+                raise FileExtensionNotSupported(extensions)
+            file.seek(0)
+            w, h = get_image_dimensions(file)
+            if not w or not h:
+                raise CorruptedFileError
+            files = {'image': ('image.png', BytesIO(file_bytes), 'image/png')}
+        if (balance := PaymentPlanSelector(self.store.user).get_current_balance()) < (
+            cost := self.calculate_price(
+                *self.count_predict_tokens(input_message.content, w, h, size, quality)
+            )
+            + (1 if not input_message.file else 4)
+        ):
+            raise InsufficientBalance(balance, cost)
         for proxy in Proxy.objects.all():
+            moderation = 'low' if self.store.user.account_type == 'regular' else 'auto'
             json_data = {
                 'prompt': input_message.content,
-                'background': info.get('background', 'auto'),
-                'model': 'gpt-image-1',
+                'model': 'gpt-image-2',
+                'n': 1,
+                'quality': quality,
+                'size': size,
+                'moderation': moderation,
                 'output_format': 'png',
-                'quality': info.get('quality', 'auto'),
-                'size': info.get('size', 'auto'),
             }
-            if input_message.file:
-                version = 'image-edit'
-                file_bytes = input_message.file.read()
-                files = {
-                    'image': ('image.png', BytesIO(file_bytes), 'image/png'),
-                }
-            else:
-                version = 'image-generate'
             with httpx.Client(
                 base_url='https://api.openai.com/v1',
                 proxy=f'{proxy.protocol}://{proxy.address}',
@@ -79,7 +121,7 @@ class Gptimage(SimpleService):
                 timeout=600,
             ) as client:
                 start_time = time.time()
-                if version == 'image-generate':
+                if not input_message.file:
                     data = client.post('images/generations', json=json_data).json()
                 else:
                     data = client.post('images/edits', data=json_data, files=files).json()
@@ -99,38 +141,25 @@ class Gptimage(SimpleService):
         msgs = self.save_results(input_message.content, image, process_time, save)
         return msgs
 
-    def calculate_price(
-        self,
-        text_tokens: int,
-        image_tokens: int,
-        output_tokens: int,
-        *args,
-        **kwargs,
-    ) -> Decimal:
-        price = (
-            text_tokens * self.TOKENS_COST['gpt-image-1']['input']
-            + image_tokens * self.TOKENS_COST['gpt-image-1']['image']['input']
-            + output_tokens * self.TOKENS_COST['gpt-image-1']['image']['output']
-        )
-        return price.quantize(Decimal('0.1'), rounding='ROUND_UP')
+    @classmethod
+    def count_predict_tokens(
+        cls, text_input: str, image_width: int, image_height: int, size: str, quality: str
+    ):
+        encoding = tiktoken.get_encoding('o200k_base')
+        text_input_tokens = len(encoding.encode(text_input))
+        image_input_tokens = cls.count_image_tokens(image_width, image_height)
+        image_output_tokens = cls.SIZE_TOKENS[quality][size]
+        return text_input_tokens, image_input_tokens, image_output_tokens
 
-    def save_results(
-        self,
-        prompt: str,
-        image: bytes,
-        time: timedelta,
-        save: bool = True,
-    ) -> list[Message]:
-        messages: list[Message] = []
-        image_bytes = base64.b64decode(image)
-        messages.append(
-            Message(
-                content_object=self.store,
-                elapsed_time=time,
-                content=prompt,
-                file=File(BytesIO(image_bytes), '.png'),
-            )
-        )
-        if save:
-            return Message.objects.bulk_create(messages)
-        return messages
+    @staticmethod
+    def count_image_tokens(w: int, h: int) -> int:
+        try:
+            p = math.ceil(w / 16) * math.ceil(h / 16)
+            r = max(w, h) / min(w, h)
+            s = 1521 * (1 - math.exp(-p / 1150.0))
+            a = math.exp(-0.16 * (math.log(r) ** 2))
+            k = 0.72 + 0.28 * (1 - math.exp(-p / 900.0))
+            t = s * a * k
+            return int(round(max(16, min(1521, t))))
+        except ZeroDivisionError:
+            return 0
@@ -156,3 +156,8 @@ class ServiceHighDemandError(Exception):
 class PaidPlanRequiredError(Exception):
     def __str__(self) -> str:
         return _('Available only in paid plan')
+
+
+class FaceNotFoundError(Exception):
+    def __str__(self) -> str:
+        return _('Face not found in the image. Please try another image with a face.')
@@ -13,6 +13,7 @@ from messages.serializers import MessageSerializer
 from ml_model.exceptions import (
     CorruptedFileError,
     ExceededContextLengthError,
+    FaceNotFoundError,
     FileExtensionNotSupported,
     FileNotProvided,
     FileTooLargeError,
@@ -196,6 +197,7 @@ class MediaAPIView(APIView):
                         FileTooLargeError,
                         ImageAnalysisError,
                         UnrecognizedFileError,
+                        FaceNotFoundError,
                     ),
                 ):
                     return Response({'detail': f'{exc}'}, status=HTTP_400_BAD_REQUEST)
@@ -3,6 +3,9 @@ SECRET_KEY=testtest
 DEBUG=true
 STATIC_PATH_PREFIX=static
 
+RELEASE=1.0.0
+ENVIRONMENT=dev
+
 # NEURON MODELS
 OPENAI_API_KEY=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
 STABLE_DIFFUSION_API_KEY=sk-fztQxZobaL0SD7PgpmK7XMQlyNivpKFZNJnqAVG2CcbvAP6Z
@@ -25,7 +28,7 @@ UPSCALE_MULTIPLIER_HOST=packet:8080
 JWT_SECRET_KEY=testtest
 JWT_ACCESS_TOKEN_LIFETIME=604800
 JWT_REFRESH_TOKEN_LIFETIME=604800
-ALLOWED_HOSTS=localhost
+ALLOWED_HOSTS=localhost, 127.0.0.1
 CSRF_TRUSTED_ORIGINS=http://localhost
 CORS_ALLOWED_ORIGINS=http://localhost:3000
 TELEGRAM_BOT_TOKEN=None
@@ -10,6 +10,7 @@ default:
 build:
   stage: Build
   variables:
+    IMAGE_TAG: $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA
   script:
     - touch .env
     - docker compose build --push
@@ -23,6 +24,7 @@ build:
   services:
     - docker:dind
   variables:
+    IMAGE_TAG: $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA
     ENVIRONMENT: $CI_ENVIRONMENT_TIER
     DOCKER_TLS_VERIFY: 1
     DOCKER_CERT_PATH: "/certs"
@@ -1,5 +1,5 @@
 x-app-config: &app-config
-  image: ${CI_REGISTRY_IMAGE:-air/backend}:${CI_COMMIT_SHA:-latest}
+  image: ${IMAGE_TAG:-air/backend:latest}
   restart: on-failure:3
   environment:
     - RELEASE