dora_r8: DORA rank 8 on Stable Diffusion 1.5 (Naruto)

Comparison run (not selected as final). DATA 266 Lab 2, Part 2, Pair_Programming_Team_03 (Yash).

Base model: stable-diffusion-v1-5/stable-diffusion-v1-5. Adapter on UNet attention (q, k, v, out) and feed-forward layers, rank 8, alpha 8.
Data: lambda/naruto-blip-captions, 1099 training images after removing corrupted and duplicate images (90/10 split, seed 266), 512x512.
Training: 2000 steps, batch 4 (7.28 epochs), AdamW lr 0.0001, cosine schedule, Min-SNR gamma 5, torch.bfloat16 mixed precision; 3,204,288 trainable parameters; 1564 s on NVIDIA RTX PRO 4500 Blackwell (0.4345 GPU-hours), peak memory 4.73 GB.
Results (20 fixed prompts x 2 seeds, DPM-Solver++ 30 steps, guidance 7.5): KID (in-domain vs test) 0.0352 (base 0.1393); CLIP score 30.42 (base 31.91); LPIPS seed diversity 0.784 (base 0.794); NSFW flags 3/40.
Limitations: generic BLIP captions, narrow subject range (anime close-ups); out-of-domain prompts drift towards anime characters; KID from 20 images is noisy.
License / use: Base model: CreativeML OpenRAIL-M (Stable Diffusion 1.5). Training images: Naruto frames from narutopedia.com via lambda/naruto-blip-captions (no licence stated on the dataset card; Naruto characters are copyrighted). For non-commercial research and teaching only.

Load: pipe.load_lora_weights("YashShevkar30/data266-lab2-naruto-dora_r8").

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