Optimization history (434s → 19.8s), patterns that worked, and the roadmap for further gains. Read this before planning optimizations.
javimosch/machin-diffusion
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Architecture and pipeline overview for machin-diffusion (SD-Turbo in pure MFL). Read this first to understand the codebase before making changes.
OpenCL GPU kernel design patterns, caveats, and how to add new builtins to the machin runtime. Read this before optimizing GPU kernels or adding new builtins.
SD-Turbo prompting guide. How to write prompts that work with 1-step distilled generation (no CFG, no negative prompts). Read this before generating images.
CRITICAL — SD-Turbo scheduler correctness. The
How to validate output correctness after optimizations. Reference comparison, pixel diff methodology, and image quality metrics.