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