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Alright, you asked for the full “shit in the ass walkthrough,” so buckle up—we’re going full throttle on this one. Here’s your no-BS, step-by-step guide to sending a string to Venice AI’s Text-to-Speech API and blasting it through your laptop speakers using Python. 💣 The Full Walkthrough...

class DiVoiceEffects(Skill): # Ensure that you have a "voices" directory in the same location as this script. # Place your .mp3 files inside this folder. The filenames should be sanitized # (lowercase, spaces replaced with underscores) for smooth playback. def __init__(self)...

prev ver: class DiVoiceEffects(Skill): # Ensure that you have a "voices" directory in the same location as this script. # Place your .mp3 files inside this folder. The filenames should be sanitized # (lowercase, spaces replaced with underscores) for smooth playback. def...

yolov8 : ```python import cv2 import numpy as np from ultralytics import YOLO class DiYOLOv8Reco(Skill): def __init__(self): super().__init__() self.set_skill_lobe(5) # Eye skill # Load YOLOv8 model (much simpler than v3) self.model =...

yolo ver import cv2 import numpy as np class DiYOLOReco(Skill): def __init__(self): super().__init__() self._skill_lobe = 5 self.cap = cv2.VideoCapture(0) # Load YOLO self.net = cv2.dnn.readNet("yolov3.weights", "yolov3.cfg")...

improved v1 import cv2 import numpy as np class DiHuskyLensReco(Skill): def __init__(self): super().__init__() self.set_skill_type(3) # Continuous skill self.set_skill_lobe(5) # Eye lobe self.cap = cv2.VideoCapture(0) self._object_registry...

import cv2 import numpy as np class DiHuskyLensReco(Skill): def __init__(self): super().__init__() self._skill_lobe = 5 self.cap = cv2.VideoCapture(0) self._object_registry = {} # object_hash -> unique_id self._next_id = 1 self.detector =...

import requests import json import threading import re from LivinGrimoirePacket.LivinGrimoire import Skill # Initialize conversation history conversation_history = [] # Global variables for async operation is_working = False current_reply = "" def talk_to_waifu(prompt, history): global...

import requests import json import threading import time # Initialize conversation history conversation_history = [] # Global variables for async operation is_working = False current_reply = "" def talk_to_waifu(prompt, history): global is_working, current_reply # Build the full...

with character maintaining: import threading import requests import json # Assume DEEPSEEK_API_KEY is replaced with VENICE_API_KEY VENICE_API_KEY = "your_venice_api_key_here" class DaVeniceRun(ShorniSplash): def __init__(self): super().__init__() self.input_text = "" #...

🔥 Top Ollama Models for Dirty Talk & Roleplay Model Name Description MythoMax-L2-13B Legendary for uncensored storytelling, flirtation, and spicy roleplay. Nous-Hermes-Llama2-13B Smart and expressive, great for seductive or romantic dialogue. Chronos-Hermes-13B A creative fusion of...

Uncensored & High Compliance Models python "model": "venice-uncensored-1.1" # Minimal filtering, high compliance "model": "dolphin-2.9.2-qwen2-72b" # Most uncensored, great for raw output ⚡ Fast & Cost-Efficient Models python "model": "qwen3-4b" # Venice Small...

no try version: import threading import requests import json # Assume DEEPSEEK_API_KEY is replaced with VENICE_API_KEY VENICE_API_KEY = "your_venice_api_key_here" class DaVeniceRun(ShorniSplash): def __init__(self): super().__init__() self.input_text = "" # Temporary...

import threading import requests import json # Assume DEEPSEEK_API_KEY is replaced with VENICE_API_KEY VENICE_API_KEY = "your_venice_api_key_here" class DaVeniceRun(ShorniSplash): def __init__(self): super().__init__() self.input_text = "" # Temporary storage for input...

import requests import json def call_venice_api(prompt, api_key): api_url = "https://api.venice.ai/v1/generate" payload = { "prompt": prompt, "model": "venice-uncensored-1.1", "max_tokens": 150 } headers = { "Content-Type": "application/json"...

import requests import json import threading import time # Initialize conversation history conversation_history = [] # Global variables for async operation is_working = False current_reply = "" def talk_to_waifu(prompt, history): global is_working, current_reply # Build the full...

midway, but working import requests import json import threading import time # Initialize conversation history conversation_history = [] # Global variables for async operation is_working = False current_reply = "" current_user_input = "" def talk_to_waifu(prompt, history): global...