Python Code for Aesthetic Image Generation

I'm looking for assistance in refining a Python code that generates "before and after" images using stable-diffusion-inpainting or a similar method. The goal is to maintain the integrity of the original photo while simulating facial changes based on specified aesthetic procedures, such as Botox and lip fillers.

Requirements:
- Preserve original photo quality
- Simulate changes on forehead, lips, and cheeks
- Highlight and adjust jawline as a key facial landmark
- Primary input format: PNG

Ideal Skills and Experience:
- Proficiency in Python and image processing
- Experience with stable-diffusion and inpainting techniques
- Familiarity with facial landmark detection and manipulation
- Strong understanding of aesthetic procedures and their visual impact

If you have a background in computer vision or deep learning, that would be a plus.