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🍒 Generate Unlimited Ghibli Images for Free 🤫.
from diffusers import StableDiffusionImg2ImgPipeline
import torch
from PIL import Image
import io
from google.colab import files
import matplotlib.pyplot as plt
import time

# Load model function
def load_model():
    model_id = "nitrosocke/Ghibli-Diffusion"  # Correct model ID
    dtype = torch.float16 if torch.cuda.is_available() else torch.float32
    print("Loading model...")
    pipe = StableDiffusionImg2ImgPipeline.from_pretrained(model_id, torch_dtype=dtype)
    pipe.to("cuda" if torch.cuda.is_available() else "cpu")
    pipe.enable_attention_slicing()  # Optimize memory usage
    print("Model loaded!")
    return pipe

# Function to generate Ghibli-style image
def generate_ghibli_image(image, pipe, strength):
    image = image.convert("RGB")
    image = image.resize((512, 512))  # Ensure proper size
    
    prompt = "Ghibli-style anime painting, soft pastel colors, highly detailed, masterpiece"
    
    print("Generating image...")
    start_time = time.time()
    result = pipe(prompt=prompt, image=image, strength=strength).images[0]
    print(f"Image generated in {time.time() - start_time:.2f} seconds!")
    return result

# Check for GPU
gpu_info = "GPU is available!" if torch.cuda.is_available() else "Warning: GPU not available. Processing will be slow."
print(gpu_info)

# Load the model
pipe = load_model()

# Upload image section
print("Please upload your image file:")
uploaded = files.upload()

if uploaded:
    file_name = list(uploaded.keys())[0]
    image = Image.open(io.BytesIO(uploaded[file_name]))
    
    # Display original image
    plt.figure(figsize=(5, 5))
    plt.imshow(image)
    plt.title("Original Image")
    plt.axis('off')
    plt.show()
    
    # Ask for strength input with error handling
    while True:
        try:
            strength = float(input("Enter stylization strength (0.3-0.8, recommended 0.6): "))
            strength = max(0.3, min(0.8, strength))  # Clamp between 0.3 and 0.8
            break
        except ValueError:
            print("Invalid input. Please enter a number between 0.3 and 0.8.")
    
    # Generate and display the result
    result_img = generate_ghibli_image(image, pipe, strength)
    
    plt.figure(figsize=(5, 5))
    plt.imshow(result_img)
    plt.title("Ghibli Portrait")
    plt.axis('off')
    plt.show()
    
    # Save the output image and offer download
    output_filename = f"ghibli_portrait_{file_name}"
    result_img.save(output_filename)
    files.download(output_filename)
    print(f"Image saved as {output_filename} and download initiated!")
else:
    print("No file was uploaded. Please run the cell again and upload an image.")
🚀 How to Generate Ghibli Images Using your Python Code? 🍵 Even You can make your own API 🌟 Just open below link in Chrome https://colab.research.google.com/ (They provide platform to run python code.) ❤️ Click + New Notebook (Once click open window like below). 🥷 Put Above code in “Start coding or generate with ai” & put below code. 🌭 Once you add code and click on run icon. It’s take 2 second for run 🧿 Wait untill upload your inage box appears. 💮 After Appears Choose file. 😱 Wait 1 to 2 minute. Your image ready & download automatic. 🍒 Generate Unlimited Ghibli Images for Free 🤫. @CodingCoursePro Shared with Love

from diffusers import StableDiffusionImg2ImgPipeline
import torch
from PIL import Image
import io
from google.colab import files
import matplotlib.pyplot as plt
import time

# Load model function
def load_model():
    model_id = "nitrosocke/Ghibli-Diffusion"  # Correct model ID
    dtype = torch.float16 if torch.cuda.is_available() else torch.float32
    print("Loading model...")
    pipe = StableDiffusionImg2ImgPipeline.from_pretrained(model_id, torch_dtype=dtype)
    pipe.to("cuda" if torch.cuda.is_available() else "cpu")
    pipe.enable_attention_slicing()  # Optimize memory usage
    print("Model loaded!")
    return pipe

# Function to generate Ghibli-style image
def generate_ghibli_image(image, pipe, strength):
    image = image.convert("RGB")
    image = image.resize((512, 512))  # Ensure proper size
    
    prompt = "Ghibli-style anime painting, soft pastel colors, highly detailed, masterpiece"
    
    print("Generating image...")
    start_time = time.time()
    result = pipe(prompt=prompt, image=image, strength=strength).images[0]
    print(f"Image generated in {time.time() - start_time:.2f} seconds!")
    return result

# Check for GPU
gpu_info = "GPU is available!" if torch.cuda.is_available() else "Warning: GPU not available. Processing will be slow."
print(gpu_info)

# Load the model
pipe = load_model()

# Upload image section
print("Please upload your image file:")
uploaded = files.upload()

if uploaded:
    file_name = list(uploaded.keys())[0]
    image = Image.open(io.BytesIO(uploaded[file_name]))
    
    # Display original image
    plt.figure(figsize=(5, 5))
    plt.imshow(image)
    plt.title("Original Image")
    plt.axis('off')
    plt.show()
    
    # Ask for strength input with error handling
    while True:
        try:
            strength = float(input("Enter stylization strength (0.3-0.8, recommended 0.6): "))
            strength = max(0.3, min(0.8, strength))  # Clamp between 0.3 and 0.8
            break
        except ValueError:
            print("Invalid input. Please enter a number between 0.3 and 0.8.")
    
    # Generate and display the result
    result_img = generate_ghibli_image(image, pipe, strength)
    
    plt.figure(figsize=(5, 5))
    plt.imshow(result_img)
    plt.title("Ghibli Portrait")
    plt.axis('off')
    plt.show()
    
    # Save the output image and offer download
    output_filename = f"ghibli_portrait_{file_name}"
    result_img.save(output_filename)
    files.download(output_filename)
    print(f"Image saved as {output_filename} and download initiated!")
else:
    print("No file was uploaded. Please run the cell again and upload an image.")
🚀 How to Generate Ghibli Images Using your Python Code? 🍵 Even You can make your own API 🌟 Just open below link in Chrome https://colab.research.google.com/ (They provide platform to run python code.) ❤️ Click + New Notebook (Once click open window like below). 🥷 Put Above code in “Start coding or generate with ai” & put below code. 🌭 Once you add code and click on run icon. It’s take 2 second for run 🧿 Wait untill upload your inage box appears. 💮 After Appears Choose file. 😱 Wait 1 to 2 minute. Your image ready & download automatic.

Web Development Skills Every Beginner Should Master 🌐⚡️ 1️⃣ Core Foundations • HTML tags you use daily • CSS layouts with Flexbox and Grid • JavaScript basics like loops, events, and DOM updates • Responsive design for mobile-first pages 2️⃣ Frontend Essentials • React for building components • Next.js for routing and server rendering • Tailwind CSS for fast styling • State management with Context or Redux Toolkit 3️⃣ Backend Building Blocks • APIs with Express.js • Authentication with JWT • Database queries with SQL • Basic caching to speed up apps 4️⃣ Database Skills • MySQL or PostgreSQL for structured data • MongoDB for document data • Redis for fast key-value storage 5️⃣ Developer Workflow • Git for version control • GitHub Actions for automation • Branching workflows for clean code reviews 6️⃣ Testing and Debugging • Chrome DevTools for tracking issues • Postman for API checks • Jest for JavaScript testing • Logs for spotting backend errors 7️⃣ Deployment • Vercel for frontend projects • Render or Railway for full stack apps • Docker for consistent environments 8️⃣ Design and UX Basics • Figma for mockups • UI patterns for navigation and layout • Accessibility checks for real users 💡 Start with one simple project. Ship it. Improve it. @CodingCoursePro Shared with Love➕ 💬 Double Tap ❤️” for more

10 Chrome Extensions Every Developer Should UseJSON Viewer – Beautify and view JSON data instantly ✅ Wappalyzer – Identify the tech stack of any website ✅ Web Developer – Adds powerful dev tools to your browser ✅ ColorZilla – Pick and copy any color from a webpage ✅ React Developer Tools – Debug and inspect React components ✅ Dark Reader – Enable dark mode on every site ✅ Session Buddy – Manage tabs and sessions like a pro ✅ WhatFont – Instantly identify fonts on websites ✅ Lighthouse – Audit performance, SEO, and accessibility ✅ AI Prompt Genius – Manage and save prompts for AI tools @CodingCoursePro Shared with Love➕ React with your favorite emoji if you found a gem in here!

⌨️ Event Emitters in JavaScript Event emitters decouple components, enabling scalable, event-driven architectures. 📖 Ideal F
+6
⌨️ Event Emitters in JavaScript Event emitters decouple components, enabling scalable, event-driven architectures. 📖 Ideal For: - UI interactions (clicks, form submissions) - APIs/HTTP servers (request/response handling) - Real-time apps (chat, notifications) - Modular systems (plugins, micro-services) @CodingCoursePro Shared with Love➕

Top 5 Mistakes to Avoid When Learning JavaScript ❌🧠 1️⃣ Not Understanding How JS Runs Don’t treat JavaScript like other languages. Learn how the browser, JS engine, call stack, and event loop work. 2️⃣ Confusing var, let, and const Using var everywhere is outdated. Know when to use let (reassignable) vs const (constant) and avoid var unless necessary. 3️⃣ Skipping DOM Manipulation JavaScript powers the web. Practice selecting elements, handling events, and updating the DOM without libraries. 4️⃣ Ignoring Asynchronous Code Avoid relying only on setTimeout or promises without understanding how async/await works. It’s crucial for API calls and smooth user experiences. 5️⃣ Not Building Real Projects Don’t stick to tutorials. Create real things: to-do lists, weather apps, form validators, or mini games. That’s how skills grow. @CodingCoursePro Shared with Love➕ 💬 Tap ❤️ for more!

Web Development Tools & Frameworks You Should Know 🌐💻 1️⃣ Frontend (User Interface)HTML – Page structure ⦁ CSS – Styling and layout ⦁ JavaScript – Interactivity ⦁ Frameworks:React.js – Component-based UI (by Meta) ⦁ Vue.js – Lightweight and beginner-friendly ⦁ Next.js – React + server-side rendering ⦁ Tailwind CSS – Utility-first CSS framework 2️⃣ Backend (Server Logic & APIs)Node.js – JavaScript runtime for backend ⦁ Express.js – Lightweight Node framework ⦁ Django (Python) – Fast and secure backend ⦁ Flask (Python) – Micro web framework ⦁ Laravel (PHP) – Elegant PHP backend 3️⃣ DatabasesSQL (MySQL, PostgreSQL) – Relational data ⦁ MongoDB – NoSQL for flexible, JSON-like data ⦁ Firebase – Real-time database and auth by Google 4️⃣ Version Control & CollaborationGit – Track code changes ⦁ GitHub / GitLab – Host and collaborate 5️⃣ Deployment & HostingVercel / Netlify – Best for frontend hosting ⦁ Render / Railway / Heroku – Full-stack app deployment ⦁ AWS / GCP / Azure – Scalable cloud infrastructure 6️⃣ Tools for ProductivityVS Code – Code editor ⦁ Chrome DevTools – Debugging in browser ⦁ Postman – API testing ⦁ Figma – UI/UX design and prototyping 💡 Learn REST APIs, JSON, and responsive design early. @CodingCoursePro Shared with Love➕ 💬 React ❤️ for more

🔰 Master File Paths with pathlib in Python 📋 The pathlib module makes working with files and directories simple, clean, and
🔰 Master File Paths with pathlib in Python
📋 The pathlib module makes working with files and directories simple, clean, and powerful — no more messy string operations!
Example Output:
File Name: report.txt  
Parent Directory: /home/user/documents  
File Stem: report  
File Suffix: .txt  
Exists: True  
Is File: True  
Is Directory: False  
New Path: /home/user/documents/archive/old_report.txt  
Found File: notes.txt  
Found File: report.txt  
File copied successfully!
@CodingCoursePro Shared with Love➕

How To Block Ads Of YouTube On Mobile | YouTube Premium For Lifetime 🔴 🔻 With This Method We Can Say That We Have YouTube P
How To Block Ads Of YouTube On Mobile | YouTube Premium For Lifetime 🔴
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50 Must-Know Web Development Concepts for Interviews 🌐💼 📍 HTML Basics 1. What is HTML? 2. Semantic tags (article, section, nav) 3. Forms and input types 4. HTML5 features 5. SEO-friendly structure 📍 CSS Fundamentals 6. CSS selectors & specificity 7. Box model 8. Flexbox 9. Grid layout 10. Media queries for responsive design 📍 JavaScript Essentials 11. let vs const vs var 12. Data types & type coercion 13. DOM Manipulation 14. Event handling 15. Arrow functions 📍 Advanced JavaScript 16. Closures 17. Hoisting 18. Callbacks vs Promises 19. async/await 20. ES6+ features 📍 Frontend Frameworks 21. React: props, state, hooks 22. Vue: directives, computed properties 23. Angular: components, services 24. Component lifecycle 25. Conditional rendering 📍 Backend Basics 26. Node.js fundamentals 27. Express.js routing 28. Middleware functions 29. REST API creation 30. Error handling 📍 Databases 31. SQL vs NoSQL 32. MongoDB basics 33. CRUD operations 34. Indexes & performance 35. Data relationships 📍 Authentication & Security 36. Cookies vs LocalStorage 37. JWT (JSON Web Token) 38. HTTPS & SSL 39. CORS 40. XSS & CSRF protection 📍 APIs & Web Services 41. REST vs GraphQL 42. Fetch API 43. Axios basics 44. Status codes 45. JSON handling 📍 DevOps & Tools 46. Git basics & GitHub 47. CI/CD pipelines 48. Docker (basics) 49. Deployment (Netlify, Vercel, Heroku) 50. Environment variables (.env) @CodingCoursePro Shared with Love➕ Double Tap ♥️ For More

Beginner's Guide to Start with Web Development 💻🚀 1. Understand What Web Development Is  Building websites and apps using code for structure, style, and functionality.  Popular areas: Front-end (HTML/CSS/JS), back-end (Node.js/Python), full-stack. 2. Use a Trusted Toolset  Start with free editors like: ⦁  Visual Studio Code ⦁  Git for version control ⦁  Browser dev tools (Chrome/Firefox) ⦁  Node.js (for back-end basics) 3. Set Up Your Basics  Install VS Code, create a GitHub account, and learn how the web works (browsers, servers, HTTP). 4. Start Small  Build a simple HTML page first. Don't dive into frameworks until you grasp basics—web dev builds progressively. 5. Choose Core Languages First  Focus on HTML for structure, CSS for styling, JavaScript for interactivity. Avoid advanced tools like React early on. 6. Store & Organize Safely  For projects: ⦁  Use GitHub (short term repos) ⦁  Version control with Git (track changes securely) 7. Learn to Debug & Test  Understand terms like: ⦁  DOM (Document Object Model) ⦁  Responsive Design ⦁  Console Errors ⦁  Breakpoints 8. Be Aware of Best Practices ⦁  Never skip accessibility (alt tags, semantic HTML) ⦁  Avoid outdated code (use modern ES6+ JS) ⦁  Stick to responsive design for all devices 9. Understand Deployment & Hosting ⦁  Track progress with commits ⦁  Deploy free via GitHub Pages or Netlify 10. Keep Learning  Follow updates via MDN Web Docs, freeCodeCamp, or YouTube channels like Traversy Media. Study real projects before building complex ones. @CodingCoursePro Shared with Love➕ 💬 Tap ❤️ if you found this helpful!

Web Development Tools & Frameworks You Should Know 🌐💻 1️⃣ Frontend (User Interface)HTML – Page structure ⦁ CSS – Styling and layout ⦁ JavaScript – Interactivity ⦁ Frameworks:React.js – Component-based UI (by Meta) ⦁ Vue.js – Lightweight and beginner-friendly ⦁ Next.js – React + server-side rendering ⦁ Tailwind CSS – Utility-first CSS framework 2️⃣ Backend (Server Logic & APIs)Node.js – JavaScript runtime for backend ⦁ Express.js – Lightweight Node framework ⦁ Django (Python) – Fast and secure backend ⦁ Flask (Python) – Micro web framework ⦁ Laravel (PHP) – Elegant PHP backend 3️⃣ DatabasesSQL (MySQL, PostgreSQL) – Relational data ⦁ MongoDB – NoSQL for flexible, JSON-like data ⦁ Firebase – Real-time database and auth by Google 4️⃣ Version Control & CollaborationGit – Track code changes ⦁ GitHub / GitLab – Host and collaborate 5️⃣ Deployment & HostingVercel / Netlify – Best for frontend hosting ⦁ Render / Railway / Heroku – Full-stack app deployment ⦁ AWS / GCP / Azure – Scalable cloud infrastructure 6️⃣ Tools for ProductivityVS Code – Code editor ⦁ Chrome DevTools – Debugging in browser ⦁ Postman – API testing ⦁ Figma – UI/UX design and prototyping 💡 Learn REST APIs, JSON, and responsive design early. 💬 React ❤️ for more

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