DATA 266 Part 2 : LoRA Rank 4
Stable Diffusion 1.5 fine-tuned on the Naruto BLIP Captions dataset for SJSU DATA 266 Lab 2.
Experiment: run1
Selected final model: No
Training
| Setting | Value |
|---|---|
| LoRA rank | 4 |
| LoRA alpha | 4 |
| Trainable parameters | 797,184 |
| Learning rate | 0.0001 |
| Steps | 4000 |
| Batch size | 1 |
| Effective batch size | 4 |
| Resolution | 512 x 512 |
| Seed | 266 |
| GPU hours | 2.369 |
| Peak GPU memory | 4.38 GB |
Evaluation
| Metric | Value |
|---|---|
| Original KID (lower is better) | 0.02722 |
| Matched KID (12 generated images) | 0.0267 |
| CLIP score | 0.2999 |
| LPIPS diversity | 0.6941 |
The matched KID calculation uses identical unblocked in-domain prompt/seed combinations for all three models.
Limitations
The dataset is small and focused on Naruto-style imagery. Fine-tuning improves domain-specific appearance but can reduce prompt adherence, especially for out-of-domain and compositional prompts.
Some generated images were blocked by the safety checker. Blocked outputs were excluded from the image-quality metrics.
The small KID sample size limits the strength of statistical conclusions.
License and intended use
The base model is released under CreativeML OpenRAIL-M. The training images depict copyrighted characters, so this adapter is for non-commercial research and coursework only and must not be used to produce or distribute material commercially.
Model tree for Rishitha05479/data266-lab2-sd15-lora-run1
Base model
stable-diffusion-v1-5/stable-diffusion-v1-5