🐱 LoRA Fine-tuned Kontext Model for Cat-Face Food Transformation

Repository: https://huggingface.co/svjack/Kontext_Cat_Face_Lora

This repository provides a LoRA (Low-Rank Adaptation) fine-tuned variant of the Kontext image consistency model, specialized in adding adorable cat faces to food items while preserving original textures, lighting, and structural details.

✨ Key Features

Texture & Detail Preservation
- Retains original food textures (e.g., bun crispiness, broth glossiness) while seamlessly integrating cat facial features
- Maintains lighting consistency and material properties (e.g., glass translucency, sauce shine)
Low-Rank Adaptation Efficiency
- Optimized for fast inference with minimal GPU memory usage
- Compatible with consumer-grade hardware (e.g., NVIDIA 16GB+ GPUs)
Prompt Flexibility
- Simple prompts like make food in cat style, add ears, glasses, beard, mouth, tail. trigger precise edits
- Supports multi-object food compositions (e.g., stacked burgers, liquid dishes)

🍜 Transformation Examples

Example 1.1: Glass Peach

Original Food	Transformed Output

Preserved: Peach translucency, stem texture, glass refraction

Example 1.2: Glass Pear

Original Food	Transformed Output

Preserved: Pear translucency, stem texture, glass refraction

Example 2: Hamburger

Original Food	Transformed Output

Preserved: Sesame seed distribution, cheese melt, lettuce folds

Example 3: Noodles

Original Food	Transformed Output

Preserved: Broth shimmer, noodle strand separation, steam effects

Example 4: Adeptus' Temptation (Genshin Impact)

Original Food	Transformed Output

Preserved: Glaze glossiness, ingredient layering, golden glow

⚙️ Technical Details

Base Model: Kontext (Flux.1 Kontext-dev, 12B rectified flow transformer)