README.md

metadata

title: Campus AI
emoji: 🎓
colorFrom: purple
colorTo: blue
sdk: gradio
sdk_version: 4.44.0
python_version: '3.10'
app_file: app.py
pinned: false

Campus AI

AI-powered campus event poster generator.

Campus AI

AI-powered campus event poster generator using deep learning.

🎨 CampusGen AI – Universal Event Poster Generator

Generate professional event posters for any occasion in 10–15 seconds.

Features

• 5 Generation Modes: Text→Poster, Reference Image (IP-Adapter), Image Transform, Inpainting, HD Upscale
• AI-Powered: Flux.1-dev fine-tuned on 55,000+ diverse poster images via LoRA
• 55 Categories: Tech fests, cultural events, festivals (Diwali, Holi, Navratri), sports, workshops, and more
• Smart Prompts: Groq Llama 3.3 70B understands your event semantics and generates optimal prompts
• 10 Visual Styles: Vibrant, Elegant, Minimalist, Traditional Indian, Tech-Futuristic, Neon Glow, and more
• HD Upscaling: Real-ESRGAN 4x for print-ready posters
• Batch Generation: Generate up to 4 variants at once
• Zero Cost: Free deployment via ZeroGPU

How to Use

Tab 1: Text → Poster

1. Describe your event (e.g., "IIT Indore Techfest 2026 — Robotics & AI Championships")
2. Select event type and visual style
3. Click Generate Poster

Tab 2: Reference Image

1. Upload a poster you like as a reference
2. Describe your event
3. Adjust style influence slider
4. Click Generate with Reference

Tab 3: Image Transform

1. Upload an existing poster
2. Describe the transformation (e.g., "Make it neon-themed")
3. Adjust transformation strength
4. Click Transform Poster

Tab 4: Inpaint / Edit

1. Upload a poster
2. Draw over the area you want to change
3. Describe what should fill it
4. Click Inpaint Region

Tab 5: HD Upscale

1. Upload any image
2. Select 2x or 4x scale
3. Click Upscale

Technical Details

Component	Details
Base Model	Flux.1-dev (12B params)
Fine-tuning	LoRA (rank 32, bf16)
Dataset	55,000+ curated event posters, 55 categories
LLM	Llama 3.3 70B via Groq
IP-Adapter	Reference image style extraction
Upscaler	Real-ESRGAN 4x
Hardware	ZeroGPU (shared A100)

Pipeline (GPU-Accelerated)

Scraping (CPU) → Quality Filter (GPU) → Captioning (GPU) → Split → Train LoRA (GPU) → Deploy

Author

Built with ❤️ by M Runeet Kumar