KnobGen is an innovative framework designed to enhance sketch-based image generation by accommodating various levels of sketch complexity and user skill. This official implementation, hosted on GitHub, is the result of collaborative research by several authors, including Pouyan Navard, Amin Karimi Monsefi, Mengxi Zhou, Wei-Lun (Harry) Chao, Alper Yilmaz, and Rajiv Ramnath, who contributed equally to the project. The framework operates through a dual-pathway system that includes a Coarse-Grained Controller (CGC) and a Fine-Grained Controller (FGC). The CGC is responsible for interpreting high-level semantics from both textual and sketch inputs during the initial stages of image generation. In contrast, the FGC focuses on refining the details later in the process, ensuring that the final output aligns closely with the user's intent and the complexity of the sketch. KnobGen aims to democratize the process of sketch-based image generation, making it accessible to a wider audience, from beginners to experienced artists. It effectively manages a broad spectrum of sketch complexities, allowing users to create images that maintain a natural appearance regardless of their drawing skills. The repository includes essential resources for users, such as installation instructions, which involve setting up a conda environment and activating it to start using KnobGen. The project has garnered attention since its initial release, with updates and results demonstrating its effectiveness in handling novice sketches and showcasing the impact of its unique knob mechanism across varying sketch complexities. In addition to its technical components, KnobGen is categorized under several relevant topics, including image generation, diffusion models, conditional generation, hierarchical control, human-AI collaboration, and user-driven generation. This categorization highlights its relevance in the broader context of AI and creative applications. The project is licensed under the MIT license, promoting open-source collaboration and development.