[New Notebook] Biological Texture Generation (Iris) using LCM & OpenVINO

[humbeaniket2006-max]

Description:
This Pull Request adds a new notebook demonstrating the generation of high-fidelity biological textures, specifically iris patterns, using Latent Consistency Models (LCM) optimized with OpenVINO.

This notebook addresses the need for efficient, high-quality texture generation in medical imaging and biometric datasets, significantly reducing inference steps compared to traditional Latent Diffusion Models (LDMs).

Related Issue:
Closes #3241

Key Features:

• Model Implementation: Utilizes Latent Consistency Models (LCM) for rapid image generation.
• OpenVINO Optimization: Compiles the pipeline for Intel CPU/GPU inference.
• Specific Use Case: Synthetic biological data (iris textures).

Checklist:

• Dependencies installed via %pip install in the first cell.
• Code formatted with Black (line length 160).
• Telemetry and Scarf Pixel tags added.
• README.md created in the notebook folder.

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