controlnet_model = "lllyasviel/sd-controlnet-canny"
sd_model = "Lykon/DreamShaper"

controlnet = ControlNetModel.from_pretrained(
    controlnet_model,
    torch_dtype=torch.float16
)

pipe = StableDiffusionControlNetPipeline.from_pretrained(
    sd_model,
    controlnet=controlnet,
    torch_dtype=torch.float16
)

pipe.scheduler = PNDMScheduler.from_config(pipe.scheduler.config)
pipe.enable_model_cpu_offload()

import AIsketcher
from PIL import Image
import numpy as np
file_name = 'hello.jpg'

input_text = 'Cute, (hungry), plump, sitting at a table by the beach, warm feeling, beautiful shining eyes, seascape'

num_steps = 50
guidance_scale = 17
seed =6764547109648557242 
low = 140
high = 160

image, canny_image, out_image = AIsketcher.img2img(file_name,  input_text,  num_steps, guidance_scale, seed, low, high, pipe)
Image.fromarray(np.concatenate([image.resize(out_image.size), out_image], axis=1))

import AIsketcher
from PIL import Image
import numpy as np
file_name = 'hello.jpg'
input_text = '귀여운, (배가고픈), 포동포동한, 해변가 식탁에 앉은, 따뜻한 느낌, 아름답고 빛나는 눈, 바다풍경'

trans_info = {
            'region_name' : 'us-east-1', #user region
            'aws_access_key_id' : '{{YOUR_ACCESS_KEY}}',
            'aws_secret_access_key' : '{{YOUR_SECRET_KEY}}',
            'SourceLanguageCode' : 'ko',
            'TargetLanguageCode' : 'en',
            'iam_access' : False
        }

num_steps = 50
guidance_scale = 17
seed =6764547109648557242 
low = 140
high = 160

image, canny_image, out_image = AIsketcher.img2img(file_name,  input_text,  num_steps, guidance_scale, seed, low, high, pipe, trans_info)

import AIsketcher
from PIL import Image
import numpy as np
file_name = 'hello.jpg'
input_text = '귀여운, (배가고픈), 포동포동한, 해변가 식탁에 앉은, 따뜻한 느낌, 아름답고 빛나는 눈, 바다풍경'

trans_info = {
            'region_name' : 'us-east-1', #user region
            'SourceLanguageCode' : 'ko',
            'TargetLanguageCode' : 'en',
            'iam_access' : True
        }

num_steps = 50
guidance_scale = 17
seed =6764547109648557242 
low = 140
high = 160

image, canny_image, out_image = AIsketcher.img2img(file_name,  input_text,  num_steps, guidance_scale, seed, low, high, pipe, trans_info)