Generative AI Image Models with LoRA + Stable Diffusion

Fine-tune Stable Diffusion with LoRA to preserve custom visual identities, styles, products, or subjects across prompts, poses, and scenes.

Categories

Tech Used

Problem

Generative-image applications often need a subject, product, character, or visual style to remain consistent across many outputs, but standard generation can drift in appearance between prompts.

Approach

• Prepared focused image datasets for parameter-efficient Stable Diffusion adaptation
• Fine-tuned LoRA models to improve identity and style consistency across generations
• Refined prompts and inference settings to control composition, appearance, and repeatability

Results

• Improved consistency of recurring visual subjects across different prompts and scenes
• Built a reusable fine-tuning workflow for custom creative, branding, product, and content-generation use cases

Screenshots