# ✅ THE BAKER — Flux.2 LoRA Training: COMPLETE

**Implementation Date:** 2026-05-13  
**Status:** Ready for execution

---

## 📦 What You Have

A complete, production-ready fine-tuning pipeline for generating THE BAKER deck visuals and concept art using a custom Flux.2 LoRA model.

---

## 📁 All Files (11 total)

```
thebaker/training/
├── 📖 00_START_HERE.md           # Quick start (START HERE)
├── 📖 IMPLEMENTATION_SUMMARY.md   # Detailed implementation doc
├── 📖 SUMMARY.md                  # High-level overview
├── 📖 TRAINING_PLAN.md            # Execution plan & QA
├── 📖 README.md                   # Full user guide
├── 📖 visual_concepts.md          # 8 visual categories
├── ⚙️  config.json                # Training configuration
├── ⚙️  requirements.txt           # Python dependencies
├── 🛠️  01_setup.sh                # Environment setup
├── 🛠️  00_quickstart.sh           # Interactive workflow
├── 🛠️  generate_dataset.py        # Dataset generation (54 images)
├── 🛠️  train_flux_lora.py         # LoRA training
└── 🛠️  generate_deck_visual.py    # Deck visual generator
```

---

## 🚀 How to Start (3 Steps)

### 1. Setup Environment
```bash
cd /home/workspaces/thebaker/training
./01_setup.sh
```

### 2. Run Full Pipeline
```bash
./00_quickstart.sh
# Choose option 4: Full pipeline
```

### 3. Wait 4-6 Hours
- Dataset generation: 30-60 min
- Training: 2-4 hours  
- Deck visual generation: 15-30 min

---

## 🎯 What You'll Get

**13 Deck Visuals:**
1. Cover (THE BAKER title)
2. The Bargain (estate interior)
3. The Story (family dinner)
4. Fault Line (symbolic crest)
5. Opening Wound (Byblos port)
6. Fredric portrait
7. Magda portrait
8. Billy portrait
9. Communion ceremony
10. Lebanon cemetery
11. Theme (bread and blood)
12. Audience (diaspora)
13. Closing (THE END)

**Plus:**
- Reusable LoRA model for all future marketing
- 54-image training dataset
- Custom prompt generation capability

---

## 🎨 Visual Style

**"Grandeur with Decay"**
- Chiaroscuro lighting
- Baroque Catholic weight
- Phoenician memory
- Lebanese diaspora aesthetic
- Morally compromised luxury

**Trigger:** `the baker film style`

---

## 💾 Requirements

| Resource | You Have | Status |
|----------|----------|--------|
| GPU | RTX 6000 Ada 48GB | ✅ Perfect |
| Disk | ~25 GB free | ✅ Ready |
| Python | 3.13 in nix store | ✅ Ready |
| Time | 4-6 hours | ⏳ Schedule it |

---

## 📊 Output Quality

**Dataset:** 54 curated concepts across 8 categories  
**Training:** 2000 steps, rank 16 LoRA  
**Visuals:** 1024x576 (16:9 deck format)  
**Format:** PNG, ready for Typst

---

## 🔗 Next Steps After Training

1. **Integrate with deck:**
   ```typst
   #image("../training/assets/decks/visuals/02_the_bargain.png")
   ```

2. **Generate more assets:**
   - Social media tiles
   - Email headers
   - One-sheets
   - Cast lookbook

3. **Share with team:**
   - Ronny (creative validation)
   - Nicholas (visual direction)
   - Tracey (PR/marketing)

---

## 📖 Documentation

| Read This | For |
|-----------|-----|
| `00_START_HERE.md` | Quick start guide |
| `IMPLEMENTATION_SUMMARY.md` | Full implementation details |
| `TRAINING_PLAN.md` | Step-by-step execution plan |
| `visual_concepts.md` | 8 visual category definitions |
| `README.md` | Complete user manual |

---

## ⚡ Quick Commands

```bash
# Setup (one-time)
./01_setup.sh

# Full pipeline
./00_quickstart.sh  # Option 4

# Custom visual after training
python generate_deck_visual.py \
  --prompt "the baker film style, your prompt here" \
  --output custom.png \
  --lora outputs/lora_weights.safetensors
```

---

## ✅ Success Criteria

- [ ] 54 training images generated
- [ ] Training loss < 0.1
- [ ] LoRA weights saved (< 200 MB)
- [ ] 13 deck visuals match aesthetic
- [ ] Deck visuals integrate with Typst
- [ ] Cannes PDF ready

---

## 🎬 Ready?

```bash
cd /home/workspaces/thebaker/training
./01_setup.sh
```

**Then:**
```bash
./00_quickstart.sh
```

**Choose option 4** and let it run.

---

**This is your complete solution for THE BAKER visual assets.**

Everything is ready. Just execute.

🚀