This is a custom LoRA trained on 11 carefully selected reference images to capture the facial features and overall appearance of Janka .
The training was performed using Stable Diffusion 1.5 as the base model, with network dimensions set to 16 and network alpha to 8 for optimal balance between detail and generalization.

Recommended settings:

• Base model: SD (Stable Diffusion 1.5)

• Data type: fp16

• Trigger word: Janka

• Suggested prompt:
  A high-quality portrait of Janka, ultra-detailed, sharp focus, soft lighting, 8k resolution

• Steps: 20–30

• Sampler: Euler or DPM++ 2M Karras

• CFG Scale: 7–9

Notes:

• Using the trigger word Janka ensures the model activates the trained style and likeness.

• Works best in portrait photography prompts but can be adapted to other settings (fantasy, casual, artistic).

• For best results, combine with detailed background descriptions and good lighting prompts.