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import requests
import random
from PIL import Image, ImageOps, ImageTk
from datetime import datetime
import time
from pathlib import Path
import io
import zipfile
BASE_URL="https://api.novelai.net"
def make_turbo_prompt(gen_request):
lines = gen_request['prompt']
result = {
"boys": False,
"girls": False,
"1girl": False,
"1boy": False,
"1other": False,
"others": False
}
state = {
"nude,": False,
"pov,": False,
"cum,": False,
"after ": False,
"pussy juice": False,
"barefoot": False,
"breasts": False,
"ejaculation": False,
}
def insert_spaces(source_list, reference_list):
modified_list = source_list.copy()
for index, keyword in enumerate(reference_list):
if keyword not in source_list:
space_count = len(keyword) # ํ‚ค์›Œ๋“œ ๊ธธ์ด๋งŒํผ์˜ ๊ณต๋ฐฑ ๋ฌธ์ž
modified_list.insert(index, ' ' * space_count)
return modified_list
keywords = gen_request['prompt'].split(', ')
filtered_keywords = []
removed_indices = []
positive0, positive1, positive2, positive3 = gen_request.copy(),gen_request.copy(),gen_request.copy(),gen_request.copy()
for word in result.keys():
if word in lines:
result[word] = True
for word in state.keys():
if word in gen_request['prompt']:
state[word] = True
key_index = int((len(keywords)/2)-1)
if(result["1boy"]) or (result["boys"]):
if(result["1girl"]):
if('sex,' in gen_request['prompt']):
sex_pos_keywords = ['stomach bulge','insertion', 'fucked silly', 'x-ray', 'orgasm', 'cross-section', 'uterus', 'overflow', 'rape', 'vaginal', 'anal']
facial_keywords = ['tongue','ahegao']
temp_sex_pos = []
temp_facial = []
cum_events = []
explicit_check = []
if 'open mouth' in keywords: keywords.remove('open mouth')
if 'closed mouth' in keywords: keywords.remove('closed mouth')
if 'after rape' in keywords:
keywords.remove('after rape')
explicit_check.append('after rape')
for keyword in keywords:
if ('sex' not in keyword and 'cum' not in keyword and 'ejaculation' not in keyword and 'vaginal' not in keyword and 'penetration' not in keyword) and all(sex_pos not in keyword for sex_pos in sex_pos_keywords) and all(facial not in keyword for facial in facial_keywords):
filtered_keywords.append(keyword)
elif 'sex' in keyword:
removed_indices.append(keyword)
elif 'penetration' in keyword:
removed_indices.append(keyword)
elif 'cum' in keyword and keyword != 'cum':
cum_events.append(keyword)
elif any(sex_pos in keyword for sex_pos in sex_pos_keywords):
for sex_pos in sex_pos_keywords:
if sex_pos in keyword:
temp_sex_pos.append(sex_pos)
elif any(facial not in keyword for facial in facial_keywords):
for facial in facial_keywords:
if facial in keyword:
temp_facial.append(facial)
filtered_keywords.insert(int((len(filtered_keywords)/2)-1), ' no penetration, imminent penetration')
filtered_keywords_positive0 = filtered_keywords.copy()
filtered_keywords.remove(' no penetration, imminent penetration')
#0 imminent penetration, imminent sex
for i, keyword in enumerate(filtered_keywords):
if 'pantyhose' in keyword:
filtered_keywords[i] = 'torn ' + filtered_keywords[i]
#1 default
key_index = int((len(filtered_keywords)/2)-1)
if 'pussy' in filtered_keywords: key_index = filtered_keywords.index('pussy')
if 'penis' in filtered_keywords: key_index = filtered_keywords.index('penis')
filtered_keywords[key_index:key_index] = ['motion lines', 'surprised']
for keyword in removed_indices:
if 'cum' not in keyword and 'ejaculation' not in keyword:
filtered_keywords.insert(key_index,keyword)
if(temp_sex_pos): filtered_keywords[key_index:key_index] = temp_sex_pos
if('clothed sex' in filtered_keywords and not 'bottomless' in filtered_keywords): filtered_keywords.insert(filtered_keywords.index('clothed sex')+1, 'bottomless')
pos1_copied_keywords = filtered_keywords.copy()
for i, keyword in enumerate(pos1_copied_keywords):
if 'closed eyes' in keyword:
rand_num = random.randint(0,2)
if(rand_num == 0): pos1_copied_keywords[i] = 'half-' + pos1_copied_keywords[i]
elif(rand_num == 1 and 'closed eyes' in pos1_copied_keywords):
pos1_copied_keywords.remove('closed eyes')
filtered_keywords[i] = 'half-closed eyes'
filtered_keywords_positive1 = pos1_copied_keywords.copy()
#2 ejaculation,cum in pussy
key_index = filtered_keywords.index('surprised')
filtered_keywords.remove('surprised')
filtered_keywords[key_index:key_index] = ["ejaculation","cum"]
for keyword in removed_indices:
if 'cum' in keyword:
filtered_keywords.insert(key_index,keyword)
if(temp_facial): filtered_keywords[key_index:key_index] =temp_facial
filtered_keywords_positive2 = filtered_keywords.copy()
#3 after sex, after ejaculation
for i, keyword in enumerate(filtered_keywords):
if 'closed eyes' in keyword:
rand_num = random.randint(0,2)
if(rand_num == 0 and filtered_keywords[i] != 'half-closed eyes'): filtered_keywords[i] = 'half-' + filtered_keywords[i]
elif(rand_num == 1): filtered_keywords[i] = 'empty eyes'
else: filtered_keywords[i] = 'empty eyes, half-closed eyes'
if 'sex' in filtered_keywords:
key_index = filtered_keywords.index('sex')
elif 'group sex' in filtered_keywords:
key_index = filtered_keywords.index('group sex')
filtered_keywords.remove('ejaculation')
filtered_keywords[key_index:key_index] = ['cum drip', 'erection'] + cum_events
if(explicit_check): filtered_keywords[key_index:key_index] = explicit_check
if 'sex' in filtered_keywords and 'group sex' not in filtered_keywords:
if('pussy' in filtered_keywords and not 'anal' in filtered_keywords): filtered_keywords.insert(filtered_keywords.index('sex')+1, 'after vaginal, spread pussy')
elif('anal' in filtered_keywords): filtered_keywords.insert(filtered_keywords.index('sex')+1, 'after anus, cum in ass')
filtered_keywords.insert(filtered_keywords.index('sex'), 'after sex')
filtered_keywords.remove('sex')
elif 'group sex' in filtered_keywords:
if('vaginal' in filtered_keywords and not 'anal' in filtered_keywords):
filtered_keywords.insert(filtered_keywords.index('group sex')+1, 'after vaginal, spread pussy')
if 'multiple penises' in filtered_keywords: filtered_keywords.insert(filtered_keywords.index('group sex')+3, 'cum on body, bukkake')
elif('anal' in filtered_keywords):
filtered_keywords.insert(filtered_keywords.index('group sex')+1, 'after anus, cum in ass')
if 'multiple penises' in filtered_keywords: filtered_keywords.insert(filtered_keywords.index('group sex')+3, 'cum on body, bukkake')
else: filtered_keywords.insert(filtered_keywords.index('group sex')+1, 'cum on body, {bukkake}')
temp_post_keyword = []
for keyword in sex_pos_keywords:
if not (keyword == 'orgasm' or keyword == 'overflow'):
if keyword in filtered_keywords:
temp_post_keyword.append(keyword)
for keyword in temp_post_keyword:
filtered_keywords.remove(keyword)
positive0['prompt'] = ', '.join(insert_spaces(filtered_keywords_positive0, filtered_keywords)).strip()
positive1['prompt'] = ', '.join(insert_spaces(filtered_keywords_positive1, filtered_keywords)).strip()
positive2['prompt'] = ', '.join(insert_spaces(filtered_keywords_positive2, filtered_keywords)).strip()
positive3['prompt'] = ', '.join(filtered_keywords).strip()
positive0["type"] = "turbo"
positive1["type"] = "turbo"
positive2["type"] = "turbo"
positive3["type"] = "turbo"
return positive0, positive1, positive2, positive3
def generate_image(access_token, prompt, model, action, parameters):
data = {
"input": prompt,
"model": model,
"action": action,
"parameters": parameters,
}
response = requests.post(f"{BASE_URL}/ai/generate-image", json=data, headers={ "Authorization": f"Bearer {access_token}" })
# catch any errors
return response.content
def generate(gen_request):
params = {
"legacy": False,
"quality_toggle": True if gen_request["quality_toggle"] == 1 else False,
"width": gen_request["width"],
"height": gen_request["height"],
"n_samples": 1,
"seed": gen_request["seed"],
"extra_noise_seed": random.randint(0,9999999999),
"sampler": gen_request["sampler"],
"steps": 28 if gen_request["type"]!="upper" else gen_request["steps"],
"scale": gen_request["scale"],
"uncond_scale": 1.0,
"negative_prompt": gen_request["negative"],
"sm" : gen_request["sema"],
"sm_dyn" : gen_request["sema_dyn"],
"decrisper": False,
"controlnet_strength": 1.0,
"add_original_image": False,
"cfg_rescale": gen_request["cfg_rescale"],
"noise_schedule": "native"
}
# ์™€์ผ๋“œ์นด๋“œ ๊ธฐ๋Šฅ ๋งŒ๋“ค์–ด์•ผํ•จ
positive = gen_request["prompt"]
filename_rule = gen_request["png_rule"]
save_folder = gen_request["save_folder"]
access_token = gen_request["access_token"]
additional_folder = ""
def resize_and_fill(image, max_size=None):
if max_size is None:
max_size = gen_request["user_screen_size"]
original_width, original_height = image.size
if original_width > max_size or original_height > max_size:
# ๋น„์œจ์„ ์œ ์ง€ํ•˜๋ฉด์„œ ํฌ๊ธฐ ์กฐ์ •
image.thumbnail((max_size, max_size))
# ์ƒˆ ์ด๋ฏธ์ง€ ํฌ๊ธฐ ๊ณ„์‚ฐ
width, height = image.size
new_image = Image.new("RGB", (max_size, max_size), "black")
new_image.paste(image, ((max_size - width) // 2, (max_size - height) // 2))
return new_image
else:
return image
def log_error(e, output_file_path="output_file_path"):
# ํ˜„์žฌ ์‹œ๊ฐ„์„ ์–ป์Šต๋‹ˆ๋‹ค
current_time = datetime.now().strftime("%m/%d %H:%M:%S")
# ์—๋Ÿฌ ๋กœ๊ทธ ๋ฉ”์‹œ์ง€
error_message = f"#### Error occured at {current_time} ####\nError: {e}\n############################################\n"
# ์ง€์ •๋œ ์ถœ๋ ฅ ํด๋”์˜ error_log.txt ํŒŒ์ผ์— ์“ฐ๊ธฐ
with open(f"error_log.txt", "a") as file:
file.write(error_message)
try:
zipped_bytes = generate_image(access_token, positive, "nai-diffusion-3", "generate", params)
if gen_request["png_rule"] == "count":
additional_folder = "/" + gen_request["start_time"]
if gen_request["type"] == "turbo":
additional_folder += "/turbo"
d = Path(save_folder + additional_folder)
d.mkdir(parents=True, exist_ok=True)
zipped = zipfile.ZipFile(io.BytesIO(zipped_bytes))
image_bytes = zipped.read(zipped.infolist()[0])
if gen_request["png_rule"] == "count":
_count = gen_request["count"]
filename = (d / f"{_count:05}.png" )
else: filename = (d / f"{datetime.now().strftime('%Y%m%d_%H%M%S')}.png" )
filename.write_bytes(image_bytes)
i = Image.open(io.BytesIO(image_bytes))
i = ImageOps.exif_transpose(i).convert("RGB")
i_resized = resize_and_fill(i)
#tk_image = ImageTk.PhotoImage(i_resized)
return i_resized, positive, params['seed'], i.info, str(filename)
except Exception as e:
try:
if zipped_bytes is None:
raise ValueError("Connection broken (Protocol Error)")
error_message = zipped_bytes.decode('utf-8')[2:-2]
except Exception as inner_exception:
error_message = str(inner_exception)
log_error(error_message, "path_to_output_folder")
return None, error_message, params['seed'], None, None