🍒 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.noscript("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.noscript("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 🤫.

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Top 5 Small AI Coding Models That You Can Run Locally

1️⃣ gpt-oss-20b
A fast, open-weight OpenAI reasoning and coding model you can run locally for IDE assistants and low-latency tools.

2️⃣ Qwen3-VL-32B-Instruct
A powerful open-source coding model that understands screenshots, UI flows, diagrams, and code together.

3️⃣ Apriel-1.5-15B-Thinker
A reasoning-first coding model that thinks step-by-step before writing reliable production-ready code.

4️⃣ Seed-OSS-36B-Instruct
A high-performance open coding model built for multi-file repositories, refactoring, and agent workflows.

5️⃣ Qwen3-30B-A3B-Instruct
An efficient MoE coding model delivering large-model reasoning power with small-model compute for local use.

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✅ Web Development Basics You Should Know 🌐💡

Understanding the foundations of web development is the first step toward building websites and web apps.

1️⃣ What is Web Development? 
Web development is the process of creating websites and web applications. It includes everything from a basic HTML page to full-stack apps. 
Types of Web Dev:
- Frontend: What users see (HTML, CSS, JavaScript) 
- Backend: Server-side logic, databases (Node.js, Python, etc.) 
- Full Stack: Both frontend + backend 

2️⃣ How the Web Works
When you visit a website: 
- The browser (client) sends a request via HTTP 
- The server processes it and sends back a response (HTML, data) 
- Your browser renders it on the screen 
Example: Typing www.example.com sends a request → DNS resolves IP → Server sends back the HTML → Browser displays it 

3️⃣ HTML (HyperText Markup Language) 
Defines the structure of web pages. 

<h1>Welcome</h1>
<p>This is my first website.</p>

*4️⃣ CSS (Cascading Style Sheets)* 
Adds *style* to HTML: colors, layout, fonts. 

h1 {
  color: blue;
  text-align: center;
}

*5️⃣ JavaScript (JS)* 
Makes the website *interactive* (buttons, forms, animations). 

<button onclick="alert('Hello!')">Click Me</button>

*6️⃣ Responsive Design* 
Using *media queries* to make websites mobile-friendly. 

@media (max-width: 600px) {
  body {
    font-size: 14px;
  }
}

*7️⃣ DOM (Document Object Model)* 
JS can interact with page content using the DOM. 

document.getElementById("demo").innerText = "Changed!";

*8️⃣ Git & GitHub* 
Version control to track changes and collaborate. 

git init  
git add .  
git commit -m "First commit"  
git push  

*9️⃣ API (Application Programming Interface)* 
APIs let you pull or send data between your app and a server. 

fetch('https://api.weatherapi.com')
  .then(res => res.json())
  .then(data => console.log(data));

🔟 Hosting Your Website 
You can deploy websites using platforms like Vercel, Netlify, or GitHub Pages.

💡 Once you know these basics, you can move on to frameworks like React, backend tools like Node.js, and databases like MongoDB.

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✅ HTML Basics You Must Know 🧱🌐

HTML (HyperText Markup Language) is the foundation of every web page. It structures content like text, images, links, and forms.

1️⃣ Basic HTML Structure

<!DOCTYPE html>
<html>
  <head>
    <noscript>My First Page</noscript>
  </head>
  <body>
    <h1>Hello World!</h1>
    <p>This is a paragraph.</p>
  </body>
</html>

Explanation:
⦁ <!DOCTYPE html> → Declares HTML5
⦁ <html> → Root element
⦁ <head> → Info about the page (noscript, meta)
⦁ <body> → Visible content

2️⃣ Headings and Paragraphs

<h1>Main Heading</h1>
<h2>Subheading</h2>
<p>This is a paragraph.</p>

3️⃣ Links and Images

<a href="https://google.com">Visit Google</a>  
<img src="image.jpg" alt="Image" width="200">

4️⃣ Lists

<ul>
  <li>HTML</li>
  <li>CSS</li>
</ul>

<ol>
  <li>Step 1</li>
  <li>Step 2</li>
</ol>

5️⃣ Tables

<table border="1">
  <tr>
    <th>Name</th>
    <th>Age</th>
  </tr>
  <tr>
    <td>Alice</td>
    <td>25</td>
  </tr>
</table>

6️⃣ Forms

<form>
  <input type="text" placeholder="Your name">
  <input type="email" placeholder="Your email">
  <button type="submit">Submit</button>
</form>

7️⃣ Div & Span
⦁ <div> → Block-level container
⦁ <span> → Inline container

<div style="background: lightgray;">Box</div>
<span style="color: red;">Text</span>

💡 Practice HTML in a live editor like CodePen or JSFiddle to see instant results!

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OnSpace Mobile App builder: Build AI Apps in minutes
👉https://www.onspace.ai/agentic-app-builder?via=tg_abt
With OnSpace, you can build AI Mobile Apps by chatting with AI, and publish to PlayStore or AppStore.

What will you get:
- Create app by chatting with AI;
- Integrate with Any top AI power just by giving order (like Sora2, Nanobanan Pro & Gemini 3 Pro);
- Download APK,AAB file, publish to AppStore.
- Add payments and monetize like in-app-purchase and Stripe.
- Functional login & signup.
- Database + dashboard in minutes.
- Full tutorial on YouTube and within 1 day customer service

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✅ 15-Day Winter Training by GeeksforGeeks ❄️💻

🎯 Build 1 Industry-Level Project
🏅 IBM Certification Included
👨‍🏫 Mentor-Led Classroom Learning
📍 Offline in: Noida | Bengaluru | Hyderabad | Pune | Kolkata
🧳 Perfect for Minor/Major Projects Portfolio

🔧 MERN Stack:
https://gfgcdn.com/tu/WC6/

📊 Data Science:
https://gfgcdn.com/tu/WC7/

🔥 What You’ll Build:
• MERN: Full LMS with auth, roles, payments, AWS deploy
• Data Science: End-to-end GenAI apps (chatbots, RAG, recsys)

📢 Limited Seats – Register Now!

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✅ CSS Basics You Should Know 🎨💻

CSS (Cascading Style Sheets) is used to style HTML elements — adding colors, spacing, layout, and more.

1️⃣ CSS Syntax

selector {
  property: value;
}

Example:

h1 {
  color: blue;
  font-size: 32px;
}

2️⃣ How to Add CSS
⦁ Inline:

<p style="color: red;">Hello</p>

⦁ Internal (within HTML):

<style>
  p { color: green; }
</style>

⦁ External (best practice):

<link rel="stylesheet" href="style.css">

3️⃣ Selectors
⦁ * → All elements
⦁ p → All <p> tags
⦁ .class → Elements with class
⦁ #id → Element with specific ID

#noscript { color: blue; }.red-text { color: red; }

4️⃣ Colors & Fonts

body {
  background-color: #f2f2f2;
  color: #333;
  font-family: Arial, sans-serif;
}

5️⃣ Box Model 
Every HTML element is a box: 
content + padding + border + margin

6️⃣ Layout with Flexbox

{
  display: flex;
  justify-content: space-between;
  align-items: center;
}

7️⃣ Responsive Design

@media (max-width: 600px) {
  body {
    font-size: 14px;
  }
}

8️⃣ Hover Effects

button:hover {
  background-color: black;
  color: white;
}

9️⃣ Common Properties
⦁ color – Text color
⦁ background-color – Background
⦁ margin & padding – Spacing
⦁ border – Border style
⦁ width / height – Size
⦁ text-align – Alignment

💡 Tip: Organize your styles using class names and external CSS files for better scalability.

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How to Build AI Agents from scratch even if you’ve never done it before.

I spent months trying to build AI agents before I realized I was overcomplicating everything.🌟

Here's the 9 step roadmap I wish I had when I started:🥰

1. Define what your agent actually does
- Don't jump into coding. Start with clarity.
- What problem does it solve? Who uses it? What does success look like?

2. Write a solid system prompt
- Your prompt is your agent's operating system.
- Be specific about role, tone, and behavior. Test it. Refine it.

3. Give it tools to work with
- Agents get powerful when they can do things.
- Connect them to search, databases, code interpreters, document retrieval.

4. Coordinate multiple agents if needed.
- Sometimes one agent isn't enough.
- Build specialized agents (researcher, writer, reviewer) and orchestrate them.

5. Add memory
- Does your agent need context from earlier conversations?
- Add conversational memory or use vector databases to store and retrieve relevant information.

6. Add voice or vision if it matters
- Not every agent needs this, but when it does, it changes everything.
- Text-to-speech, image understanding - these capabilities make agents feel real.

7. Format outputs properly
- Your agent's output needs to work for both - humans and systems.
- Markdown for readability. JSON for machines. PDFs for sharing.

8. Build an interface
- This is what turns your agent from a noscript into a product.
- Could be a simple API, a web app, or a chat interface.

9. Test and improve continuously
- Run test cases. Log everything. Watch where it breaks.
- Build feedback loops so it gets better over time.
I learned this the hard way: the best agents aren't the most complex ones. They're the ones that solve a real problem reliably.

Start simple. Add complexity only when you need it.

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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)

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✅ 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.

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