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import cv2
import os
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from anytext_pipeline import AnyTextPipeline
from utils import save_images
seed = 66273235
# seed_everything(seed)
pipe = AnyTextPipeline (
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ckpt_path = " /Users/cwq/code/github/IOPaint/iopaint/model/anytext/anytext_v1.1_fp16.ckpt " ,
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font_path = " /Users/cwq/code/github/AnyText/anytext/font/SourceHanSansSC-Medium.otf " ,
use_fp16 = False ,
device = " mps " ,
)
img_save_folder = " SaveImages "
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rgb_image = cv2 . imread (
" /Users/cwq/code/github/AnyText/anytext/example_images/ref7.jpg "
) [ . . . , : : - 1 ]
masked_image = cv2 . imread (
" /Users/cwq/code/github/AnyText/anytext/example_images/edit7.png "
) [ . . . , : : - 1 ]
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rgb_image = cv2 . resize ( rgb_image , ( 512 , 512 ) )
masked_image = cv2 . resize ( masked_image , ( 512 , 512 ) )
# results: list of rgb ndarray
results , rtn_code , rtn_warning = pipe (
prompt = ' A cake with colorful characters that reads " EVERYDAY " , best quality, extremely detailed,4k, HD, supper legible text, clear text edges, clear strokes, neat writing, no watermarks ' ,
negative_prompt = " low-res, bad anatomy, extra digit, fewer digits, cropped, worst quality, low quality, watermark, unreadable text, messy words, distorted text, disorganized writing, advertising picture " ,
image = rgb_image ,
masked_image = masked_image ,
num_inference_steps = 20 ,
strength = 1.0 ,
guidance_scale = 9.0 ,
height = rgb_image . shape [ 0 ] ,
width = rgb_image . shape [ 1 ] ,
seed = seed ,
sort_priority = " y " ,
)
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if rtn_code > = 0 :
save_images ( results , img_save_folder )
print ( f " Done, result images are saved in: { img_save_folder } " )