(Weeks 5–6 | Lec 6 Hrs / Lab 18 Hrs / Ext 0 Hrs | 24 Total Hrs | 1.0 Credit Hour)
Students will:
- Understand and implement diffusion-based generative models.
- Fine-tune Stable Diffusion models for image generation tasks.
- Explore latent diffusion and conditional generation workflows.
Prerequisite: GenAI 102 – Generative Neural Networks (GANs & VAEs)
Tools: Hugging Face Diffusers, DreamBooth
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