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113 lines (96 loc) · 4.33 KB
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#include <iostream>
#include <string>
#include <vector>
#include <thread>
#include <chrono>
#include <cstdlib>
// Simple delay function to simulate workload
void sleep_ms(int milliseconds) {
std::this_thread::sleep_for(std::chrono::milliseconds(milliseconds));
}
// Function to render a progress bar in the console
void drawProgressBar(int percentage, const std::string& message) {
std::cout << "\r[" << std::string(percentage / 5, '#') << std::string(20 - (percentage / 5), ' ') << "] "
<< percentage << "% - " << message << std::flush;
}
// Simulate loading heavy modules or weights
void simulateLoadingStep(const std::string& component, int duration_ms) {
std::cout << "[INFO] Initializing " << component << "..." << std::endl;
for (int i = 0; i <= 100; i += 5) {
drawProgressBar(i, "Loading weights...");
sleep_ms(duration_ms / 20);
}
std::cout << "\n[OK] " << component << " loaded successfully.\n" << std::endl;
}
int main() {
// 1. Header and Welcome message
std::cout << "============================================================" << std::endl;
std::cout << " WAN 2.5 ULTIMATE NSFW GENERATOR (v1.0.4 Release) " << std::endl;
std::cout << " Powered by Wan Architecture | 250+ LoRAs Embedded " << std::endl;
std::cout << "============================================================" << std::endl;
std::cout << "\n";
sleep_ms(1000);
// 2. Simulate Hardware Check
std::cout << "[SYSTEM] Checking Hardware Requirements..." << std::endl;
sleep_ms(800);
std::cout << "[SYSTEM] GPU Detected: NVIDIA GeForce RTX (CUDA 12.1)" << std::endl;
std::cout << "[SYSTEM] VRAM Available: 12288 MB - OK" << std::endl;
std::cout << "\n";
// 3. Simulate loading Neural Network Core
simulateLoadingStep("Wan 2.5 Base Video Transformer", 2000);
simulateLoadingStep("VAE Decoder (Skin Tone Optimized)", 1500);
// 4. Simulate merging specific NSFW LoRAs (as requested)
std::cout << "[LORA] Merging NSFW Concept Layers..." << std::endl;
std::vector<std::string> loras = {
"Super Big Breast (v2.0)",
"Sexy Ass & Hips Physics",
"Doggy Style Motion Pack",
"Realistic Skin Texture",
"Puffy Nipples Details",
"Sweat & Wetness Engine"
};
for (const auto& lora : loras) {
sleep_ms(300);
std::cout << " -> Merged LoRA: " << lora << " (Weight: 1.0)" << std::endl;
}
std::cout << " -> ...and 248 hidden modules loaded." << std::endl;
std::cout << "[OK] Pipeline ready.\n" << std::endl;
// 5. Main Menu Loop
while (true) {
std::cout << "------------------------------------------------------------" << std::endl;
std::cout << "SELECT MODE:" << std::endl;
std::cout << "1. Text-to-Video (Generate new NSFW clip)" << std::endl;
std::cout << "2. Image-to-Video (Animate existing photo)" << std::endl;
std::cout << "3. Exit" << std::endl;
std::cout << "> ";
int choice;
if (!(std::cin >> choice)) {
// Handle invalid input (e.g. letters)
std::cin.clear();
std::cin.ignore(1000, '\n');
continue;
}
if (choice == 3) break;
std::string prompt;
std::cout << "\nEnter your prompt (e.g., '1girl, doggy style, bedroom'): ";
std::cin.ignore();
std::getline(std::cin, prompt);
std::cout << "\n[PROCESS] Generating video for: \"" << prompt << "\"" << std::endl;
std::cout << "[PROCESS] Allocating VRAM..." << std::endl;
// Simulate the generation process (long progress bar)
for (int i = 0; i <= 100; ++i) {
std::string status = (i < 30) ? "Denoising steps..." :
(i < 70) ? "Applying Physics..." : "Upscaling to 4K...";
drawProgressBar(i, status);
sleep_ms(100); // Wait 100ms per percent (about 10 seconds total)
}
std::cout << "\n\n[SUCCESS] Video generated successfully!" << std::endl;
std::cout << "[OUTPUT] Saved to: ./outputs/Wan2.5_Gen_" << rand() % 1000 << ".mp4" << std::endl;
std::cout << "Open output folder? (y/n): ";
char open;
std::cin >> open;
// Here you could add actual folder opening logic via system("explorer.exe ...")
std::cout << "\n";
}
return 0;
}