# Examples — Indic Heritage Studio v2

This directory contains pre-baked demo outputs for the project profile PDF
and the demo video. Run `python scripts/generate_demo_outputs.py` to
generate the full gallery on your dev box before recording the AMD demo.

## Structure

```
examples/
├── README.md              ← this file
├── inputs/                ← source images used for style transfer / video / inpainting
│   ├── portrait.jpg
│   ├── landscape.jpg
│   └── portrait_mask.png
├── 1_text_to_image/       ← 5 styles × 3 prompts × 3 seeds = 45 images
│   ├── madhubani/
│   ├── warli/
│   ├── pattachitra/
│   ├── mughal/
│   └── tanjore/
├── 2_style_transfer/      ← 5 styles × 2 input images = 10 styled images
│   ├── madhubani/
│   ├── warli/
│   └── …
├── 3_image_to_video/      ← 5 styles × 25-frame MP4 = 5 videos
│   ├── madhubani.mp4
│   └── …
├── 5_inpainting/          ← 1 inpainting demo
└── 6_controlnet/          ← 1 ControlNet demo (canny + mughal)
```

## Demo video script (3-5 min)

1. **0:00 — Title card + intro (15s)**
   - "Indic Heritage Studio — multimodal heritage art generation on AMD Radeon + ROCm"
2. **0:15 — GPU verification (15s)**
   - `rocm-smi` visible in terminal
   - `python scripts/verify_rocm.py` shows ROCm ready
3. **0:30 — Text → Image demo (60s)**
   - Run: `python -m core.text_to_image --prompt "..." --style madhubani --size 1024`
   - Show output PNG
   - Mention: "SDXL 1.0 + per-style LoRA, 1024×1024 native"
4. **1:30 — Style transfer demo (45s)**
   - Run: `python -m core.style_transfer --image examples/inputs/portrait.jpg --style mughal`
   - Show before/after
   - Mention: "IP-Adapter XL on SDXL, 30 steps"
5. **2:15 — Image → Video demo (45s)**
   - Run: `python -m core.image_to_video --image outputs/demo_styled_mughal.png --out outputs/demo.mp4`
   - Play the 25-frame MP4
   - Mention: "Stable Video Diffusion XT 1.1, 25 frames at 8 fps"
6. **3:00 — Inpainting + ControlNet demo (45s)**
   - Quick show of inpainting output
   - Quick show of ControlNet (canny → mughal)
7. **3:45 — Multi-GPU benchmark (30s)**
   - `python scripts/benchmark.py --configs 1 2 4 8 --samples 4`
   - Show scaling chart
8. **4:15 — UI walkthrough (30s)**
   - `python app.py` → walk through all 6 tabs in browser
9. **4:45 — Closing (15s)**
   - "Track 1, TeamIndicForge, Indic Heritage Studio — submitted."

## Pre-baking strategy

Run `python scripts/generate_demo_outputs.py` on your 8×80GB NVIDIA dev box
in Week 2. This takes ~30 minutes and produces every demo asset. The AMD
demo recording (Aug 4) then only needs to *re-run* a few commands live for
the camera — the actual outputs already exist as fallback if AMD
generation fails.

## Curating the gallery for the PDF

After generating, curate:
- Pick 1 best image per style for the PDF cover
- Pick 1 best video for the PDF embedded figure
- Pick the most visually striking ControlNet result
- Pick a 2×2 grid showing 4 styles for the architecture section