# Copyright (c) Alibaba, Inc. and its affiliates.

import os

from facechain.inference import GenPortrait

import cv2

from facechain.utils import snapshot_download

from facechain.constants import neg_prompt, pos_prompt_with_cloth, pos_prompt_with_style, styles, base_models

def generate_pos_prompt(style_model, prompt_cloth):

return pos_prompt

use_main_model = True

use_face_swap = True

use_post_process = True

use_stylization = False

use_depth_control = False

use_pose_model = False

pose_image = 'poses/man/pose1.png'

processed_dir = './processed'

num_generate = 5

base_model = 'ly261666/cv_portrait_model'

revision = 'v2.0'

multiplier_style = 0.25

multiplier_human = 0.85

base_model_sub_dir = 'film/film'

train_output_dir = './output'

output_dir = './generated'

style = styles[23]

model_id = style['model_id']

if model_id == None:

style_model_path = None

pos_prompt = generate_pos_prompt(style['name'], style['add_prompt_style'])

else:

if os.path.exists(model_id):

model_dir = model_id

else:

model_dir = snapshot_download(model_id, revision=style['revision'])

style_model_path = os.path.join(model_dir, style['bin_file'])

pos_prompt = generate_pos_prompt(style['name'], style['add_prompt_style']) # style has its own prompt

if not use_pose_model:

pose_model_path = None

use_depth_control = False

pose_image = None

else:

model_dir = snapshot_download('damo/face_chain_control_model', revision='v1.0.1')

pose_model_path = os.path.join(model_dir, 'model_controlnet/control_v11p_sd15_openpose')

gen_portrait = GenPortrait(pose_model_path, pose_image, use_depth_control, pos_prompt, neg_prompt, style_model_path,

multiplier_style, multiplier_human, use_main_model,

use_face_swap, use_post_process,

use_stylization)

outputs = gen_portrait(processed_dir, num_generate, base_model,

train_output_dir, base_model_sub_dir, revision)

os.makedirs(output_dir, exist_ok=True)

for i, out_tmp in enumerate(outputs):

cv2.imwrite(os.path.join(output_dir, f'{i}.png'), out_tmp)