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cumulo-autumn / StreamDiffusion

StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation
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Enhancing StreamDiffusion's Efficiency for High-Resolution Image Generation #50

Open yihong1120 opened 10 months ago

yihong1120 commented 10 months ago

Dear StreamDiffusion Development Team,

I hope this message finds you well. I am reaching out to discuss a potential enhancement to the StreamDiffusion pipeline, particularly concerning the generation of high-resolution images. As an avid user and admirer of your innovative work, I have been utilising StreamDiffusion for various projects and have been thoroughly impressed with its performance and capabilities.

However, I have observed that when scaling up to generate images of higher resolution, there is a noticeable increase in computational demand, which in turn affects the real-time interactivity that is a hallmark of StreamDiffusion. While the current pipeline is exceptionally efficient, I believe there is an opportunity to optimise it further for high-resolution output.

To address this, I propose the following considerations:

  1. Adaptive Resolution Scaling: Implementing a mechanism that initially generates images at a lower resolution and progressively enhances them could maintain interactivity without compromising on detail.

  2. Distributed Processing: Exploring the possibility of distributing the computation across multiple GPUs could significantly reduce the time required for generating high-resolution images.

  3. Model Pruning: Investigating the effects of model pruning on the diffusion models to reduce the number of parameters, which could lead to faster computation times while maintaining image quality.

  4. Advanced Caching Strategies: Enhancing the pre-computation for KV-caches to handle higher resolution images more effectively, potentially by utilising a hierarchical caching system that prioritises the most impactful features.

I am curious to hear your thoughts on these suggestions and whether they align with the future roadmap for StreamDiffusion. I believe that by addressing the challenge of high-resolution image generation, StreamDiffusion can set a new standard for real-time interactive pipelines in the field.

Thank you for your time and consideration. I look forward to the possibility of contributing to the evolution of this remarkable tool.

Best regards, yihong1120

cumulo-autumn commented 10 months ago

I'm glad to see your enthusiastic use of StreamDiffusion. Your excellent suggestion is greatly appreciated! In our future updates to the pipeline, I will try to integrate these elements to explore further enhancements in performance.