Enhancing Accessibility for Resource-Constrained Users

[yihong1120]

Dear DemoFusion Team,

First and foremost, I would like to extend my heartfelt commendations on the release of DemoFusion, a truly innovative framework that democratises high-resolution image generation. The ethos of making cutting-edge technology accessible to a broader audience is both noble and essential in the current landscape of AI research and development.

Having perused your comprehensive README documentation and experimented with the various demos, I am thoroughly impressed by the capabilities and user-friendly nature of DemoFusion. The progressive upscaling and the provision of intermediate "previews" are particularly ingenious, allowing for rapid iteration and refinement of prompts.

However, I am writing to discuss the potential barriers faced by individuals with limited computational resources. While the low-vram version for Windows users is a commendable step towards inclusivity, I believe there is an opportunity to further enhance the accessibility of DemoFusion for those with resource constraints.

I propose the exploration of additional optimisation strategies that could reduce the VRAM requirements without significantly compromising the quality of the generated images. This could involve more aggressive model pruning, quantisation techniques, or even the development of a lite version of the model tailored for lower-spec hardware.

Moreover, I suggest the creation of a community-driven platform where users can share their optimised settings and results for various hardware configurations. This repository of knowledge would not only aid users in finding the sweet spot for their setups but also foster a collaborative environment where the community can contribute to the democratisation mission of DemoFusion.

I am eager to hear your thoughts on these suggestions and to discuss potential avenues for collaboration. Together, we can strive to make high-resolution GenAI not only a possibility but a reality for all interested parties, regardless of their hardware capabilities.

Thank you for your time and consideration.

Best regards,
yihong1120