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Min Shen, the author of the highly regarded ControlNet in the field of artificial intelligence painting, has once again launched an eye-catching new project - Paints-Undo. This project is uniquely innovative, as it can generate animations that simulate the human drawing process, bringing new possibilities and discussion points to the field of painting.
Paints-Undo has a variety of powerful functions. It supports inputting a single image and then, through its unique algorithms and model mechanisms, deduces the process of drawing this image at a certain step. This feature is of great value for studying the drawing process and understanding the steps of painting creation. For example, for painting learners, they can observe the presentation of a complex painting at different stages through this feature, thereby better learning painting techniques and understanding the creative ideas of painting.
In addition, Paints-Undo can also accept two images as input and generate an animation of the drawing process based on them. This feature further expands its application scenarios, allowing users to more flexibly explore the dynamic display of the drawing process. Whether used for artistic creation reference or for teaching demonstrations, it has great potential.
It is worth noting that the project is currently controlled by two models, and these models are built on SD1.5. As a widely used base model, SD1.5 provides stable technical support and performance assurance for Paints-Undo.
However, the launch of this project has caused quite a stir in the field of painting. For some fans of artists, the stimulation brought by this project is quite significant. Since the AI-generated drawing process is not completely the same as the real human drawing process, it has sparked some controversies and concerns. One of the most direct issues is that some people may use this project to forge the drawing process, disguising AI-generated images as hand-drawn works. This behavior not only violates the principle of authenticity in artistic creation but also poses a potential threat to the rights and interests of real artists.
Because of this, on the open-source community platform GitHub, some extreme situations have occurred. Some people have started to insult the author, expressing their dissatisfaction and anger at the potential negative impact of this project. These extreme behaviors reflect the concerns and resistance of some people towards the application of AI technology in the field of painting, and highlight the importance of balancing innovation with morality and rights issues in the process of technological development.