svjack/Kontext_Cat_Face_Lora

🐱 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.

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✨ Key Features

1. 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)

2. Low-Rank Adaptation Efficiency

   • Optimized for fast inference with minimal GPU memory usage
   • Compatible with consumer-grade hardware (e.g., NVIDIA 16GB+ GPUs)

3. 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)

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🍜 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

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⚙️ Technical Details

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