DreamShaper Interactive Workbench
Published:
Technologies: Python, PyTorch, Diffusers, Gradio, LCM-LoRA
Description
- Real-Time Pipeline: Engineered a sub-second generative prototyping tool that reduces Stable Diffusion inference steps by 90% (50 → 6 steps) using Latent Consistency Models (LCM), achieving <1.3s latency on consumer GPUs while maintaining photorealistic texture fidelity.
- Parallel Comparison Engine: Developed a multi-threaded “Design Workbench” capable of transforming a single user sketch into 5 distinct aesthetic variations (e.g., Cinematic, 3D Render, Anime) simultaneously to accelerate creative iteration cycles.
- Interactive UI/UX: Built a full-stack Gradio application featuring a custom “Sketch-to-Image” canvas powered by ControlNet, with granular controls for guidance scale and seed reproducibility to mirror commercial tools like Adobe Firefly.