vk_chat_bot/ai/tools/image_generation/generate_image_anime.py
Kirill Kirilenko 4b265b5405 Устранено дублирование кода в AiAgent.
Добавлена возможность пересылки сообщений в личных чатах.
Обновлены зависимости.
Добавлен requirements.txt.
Исправлены предупреждения PyCharm 2026.1.
2026-04-07 01:01:34 +03:00

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from typing import Any, Dict, List
from openrouter.components import ChatToolMessageContentTypedDict
from replicate import Client as ReplicateClient
from ai.tool import Tool
from ai.utils import *
REPLICATE_MODEL = "ultracoderru/nova-anime-xl-17:8f702486aa2852a08564ede8c83a7f58e52c83f6698e7be0e061d79c113dc88b"
class GenerateImageAnimeTool(Tool):
def __init__(self, replicate_token: str):
self._client = ReplicateClient(api_token=replicate_token)
@property
def name(self) -> str:
return "generate_image_anime"
@property
def description(self) -> str:
return "Генерация изображения в стиле аниме по описанию"
@property
def parameters(self) -> Dict[str, Any]:
return {
"type": "object",
"properties": {
"prompt": {
"type": "string",
"description": "Положительный запрос"
},
"negative_prompt": {
"type": "string",
"description": "Отрицательный запрос"
},
"aspect_ratio": {
"type": "string",
"enum": ["1:1", "4:3", "3:4", "16:9", "9:16", "9:20"],
"description": "Соотношение сторон"
}
},
"required": ["prompt", "negative_prompt"]
}
async def execute(self, args: Dict[str, Any], artifacts: Dict[str, Any]) -> List[ChatToolMessageContentTypedDict]:
prompt = args.get("prompt", "")
negative_prompt = args.get("negative_prompt", "")
aspect_ratio = args.get("aspect_ratio", "4:3")
aspect_ratio_resolution_map = {
"1:1": (1280, 1280),
"4:3": (1280, 1024),
"3:4": (1024, 1280),
"16:9": (1280, 720),
"9:16": (720, 1280),
"9:20": (720, 1600)
}
width, height = aspect_ratio_resolution_map.get(aspect_ratio, (1280, 1024))
print(f"Генерация аниме-изображения {width}x{height}:\n+ {prompt}\n- {negative_prompt}")
arguments = {
"prompt": prompt,
"negative_prompt": negative_prompt,
"add_recommended_tags": False,
"width": width,
"height": height,
"guidance_scale": 4.5,
"num_inference_steps": 20,
"hires_enable": True,
"hires_num_inference_steps": 30,
"disable_safety_checker": True
}
try:
outputs: Any = await self._client.async_run(REPLICATE_MODEL, input=arguments)
artifacts["generated_image_hires"] = await outputs[0].aread()
artifacts["generated_image"] = compress_image(artifacts["generated_image_hires"], 1280)
return serialize_message_content(
text="Изображение сгенерировано и будет показано пользователю.",
image=None
)
except Exception as e:
print(f"Ошибка генерации изображения: {e}")
return serialize_message_content(text=f"Не удалось сгенерировать изображение: {e}")