README.md

metadata

title: Style Sync
emoji: 🐠
colorFrom: pink
colorTo: gray
sdk: gradio
sdk_version: 5.36.2
app_file: app.py
pinned: false
license: mit
short_description: Fuses 2 paintings/images

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🎨 Neural Style Transfer — A + B = C

Ever wondered what Van Gogh’s brush would look like on your selfie? Or how a castle would look reimagined in Picasso’s palette? This app lets you do exactly that.

Upload your own images or remix iconic paintings using neural style transfer — a deep learning technique that fuses the content of one image with the style of another. Watch A + B = C come to life in real time.

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🚀 Features

• ✨ Stylize Your Own Images
  Upload any two images: one for content, one for style. The result? A stunning hybrid visual that blends their essence.

• 🎲 Pick Random Pairings
  Not sure what to try? Click "Pick Random & Generate" to randomly fuse masterpieces from the Famous Paintings dataset.

• 🧪 Adjustable Optimization
  Slide between fast runs and deep stylization with the step slider (100–500 iterations).

• 🖌️ Triptych Output (coming soon)
  Visualize the fusion in a layout: Content + Style = Output.

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🧠 How It Works

Under the hood, this app leverages:

• torchvision's pretrained VGG-19 model
• Content and style loss modules with Gram matrices
• LBFGS optimizer for iterative refinement
• Hosted on Hugging Face Spaces using Gradio

No pretraining or model uploads needed — everything runs on-the-fly.

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📁 Dataset

This app uses Famous Paintings hosted on Hugging Face Datasets — curated for visual diversity and artistic flair.

You can remix any pair of artworks, or contribute your own.

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🛠️ Requirements

This app installs the following Python packages:

torch
torchvision
gradio
Pillow
datasets
matplotlib

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💡 Credits & Collaboration

Built by [Heramb Joshi]

Feel free to fork, remix, or contribute ideas! Pull requests, dataset expansions, and UI upgrades are welcome.

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