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| import json
import requests
import numpy as np
from agentlego.types import Annotated, ImageIO, Info
from agentlego.utils import require
from .base import BaseTool
class MagicMakerImageGeneration(BaseTool):
default_desc = ('This tool can call the api of magicmaker to '
'generate an image according to the given keywords.')
styles_option = [
'dongman',
'guofeng',
'xieshi',
'youhua',
'manghe',
]
aspect_ratio_options = [
'16:9', '4:3', '3:2', '1:1',
'2:3', '3:4', '9:16'
]
@require('opencv-python')
def __init__(self,
style='guofeng',
aspect_ratio='4:3'):
super().__init__()
if style in self.styles_option:
self.style = style
else:
raise ValueError(f'The style must be one of {self.styles_option}')
if aspect_ratio in self.aspect_ratio_options:
self.aspect_ratio = aspect_ratio
else:
raise ValueError(f'The aspect ratio must be one of {aspect_ratio}')
def apply(self,
keywords: Annotated[str,
Info('A series of Chinese keywords separated by comma.')]
) -> ImageIO:
import cv2
response = requests.post(
url='https://magicmaker.openxlab.org.cn/gw/edit-anything/api/v1/bff/sd/generate',
data=json.dumps({
"official": True,
"prompt": keywords,
"style": self.style,
"poseT": False,
"aspectRatio": self.aspect_ratio
}),
headers={'content-type': 'application/json'}
)
image_url = response.json()['data']['imgUrl']
image_response = requests.get(image_url)
image = cv2.cvtColor(cv2.imdecode(np.frombuffer(image_response.content, np.uint8), cv2.IMREAD_COLOR),cv2.COLOR_BGR2RGB)
return ImageIO(image)
|
