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StyleFusion — Neural Style Transfer
Hybrid neural style transfer pipeline combining classical optimisation with Stable Diffusion for higher-fidelity stylisation.
PythonPyTorchStable DiffusionHugging Face DiffusersVGG-19
Implemented a two-stage pipeline: VGG-based neural style transfer to capture coarse content/style alignment, followed by a Stable Diffusion img2img pass conditioned on style prompts to refine textures and coherence. Explored loss weighting, guidance scales, and denoising strengths to balance content preservation against style intensity on a curated set of artistic references.