1. Responsible for the implementation, optimization and fine-tuning of the Stable Diffusion model to ensure its performance and stability in different application scenarios. In-depth understanding of the principles of model fine-tuning technologies such as LORA (Low-Rank Adaptation), and the ability to skillfully apply them in actual projects. 2. Proficient in using WebUI, ComfyUI and other tools to provide users with an intuitive and easy-to-use operating interface to improve user experience. 3. Proficiently generate various animation effects, add dynamic visual elements to the project, and enhance the overall visual effect. 4. Track and study the latest technology trends and trends in Stable Diffusion and related fields, and continuously explore and innovate new applications and optimization methods. 5. Participate in relevant scientific research projects and technology sharing within the team to promote the improvement of the team's overall technical level.
Job requirements:
Job requirements: 1. Bachelor degree or above, computer, artificial intelligence, software engineering or Related majors, with a solid foundation in mathematics and programming. 2. Be familiar with knowledge and technology in deep learning, computer vision and other related fields, and have an in-depth understanding of the Stable Diffusion model. 3. Master model fine-tuning technologies such as LORA, and have the ability to adjust and optimize models. 4. Proficient in using programming languages such as Python, as well as development tools such as WebUI and ComfyUI. 5. Have good data analysis and processing capabilities, and be able to skillfully use relevant software for data processing and visualization. 6. Excellent problem analysis and problem-solving skills, full of passion and interest in solving challenging problems. 7. Good teamwork spirit and communication skills, able to effectively collaborate and communicate with members from different backgrounds. 8. Have the ability and willingness to quickly learn new technologies, and be able to adapt to rapidly changing technical environments and business needs.
Warm reminder:
Resumes can only be submitted once, please select the position you are interested in. After successful application, your selection will be used as a reference for the allocation department.
