Trained this LoRA strictly for extreme photorealism. 📸I built this using 80 Megapixel photo dataset, carefully downscaled and trained at 1536px resolution. The goal was to preserve every single drop of raw detail—skin textures, fabric pores, fur, metal reflections, and cinematic lighting.Whether you're generating street photography, nature, or weird surreal concepts (like a Pope dropping beats on a synth), this LoRA forces the base model to render it like a high-end DSLR shot.💎 What makes it special:<ul><li>Trained at 1536px for insane micro-details.</li><li>Gives that raw, unedited camera aesthetic.</li><li>Highly versatile (Portraits, Animals, Landscapes, Architecture).</li></ul>⚙️ Quick Tips:<ul><li>LoRA Weight: 0.6 - 0.85 (Start at 0.7 for the best balance).</li><li>Prompting: Just prompt it like a real photo (e.g., "RAW photo, shot on 35mm lens, candid...").</li></ul>Drop your ultra-realistic generations below! ✌️

PhotoReal [ZIB]

PhotoReal_20.safetensors

v0.1

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#### Model files may be downloaded with ModelScope SDK or through git clone directly.

Download with ModelScope’s Python SDK
```bash
#Install ModelScope
pip install modelscope
```
```python
#Download with ModelScope’s Python SDK
from modelscope import snapshot_download
model_dir = snapshot_download('patrik/PhotoReal')
```
Download with Git clone
```
git clone https://www.modelscope.ai/patrik/PhotoReal.git
```

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Files with SHA256: e9ee5088cfdbc34dd920297a586efff0d622b793ce65db4050bc2d1d1cf43fd2