Waifu Diffusion Exploration
Fine-tuning and latent diffusion conditioning experiments on stylized generative image models
Investigation and parameter-efficient fine-tuning experiments with latent diffusion models (LDMs) on specialized, stylized visual domains.
Highlights
- Latent Conditioning & Fine-Tuning: Exploring LoRA and full-rank adapter fine-tuning on U-Net / DiT cross-attention layers for stylized domain adaptation.
- Prompt Adherence & Aesthetic Alignment: Analyzing the impact of CLIP / T5 text encoder embeddings and aesthetic scoring filters on sampling quality.