Validate Performance Quality
NVIDIA/flashdreams/skills/validate-performance-quality
designOfficial
Official Provider SkillView repo
Design benchmark, quality, and documentation validation for FlashDreams-style performance changes. Use when adding or updating sweep commands, profiler probes, decoder-quality comparisons, compile/cache probes, manual GPU validation, performance summaries, model cards, or README guidance after optimizing a model integration, demo, or serving path.
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Skill details
Versionv1.0.0
AuthorNVIDIA
Categorydesign
Skill IDNVIDIA/flashdreams/skills/validate-performance-quality
Related skills
Apply Inference OptimizationsApply FlashDreams-style inference speedups to model integrations after a baseline exists: bounded windows and fixed K/V caches, cache/decode overlap, `torch.compile`, CUDA graph capture, attention backend checks, decoder layout or replacement, transfer/materialization changes, and ordered presentation tuning. Use when porting known optimizations into a runner, demo, serving adapter, or downstream integration while preserving quality and reset behavior.Flashdreams PostprocessingAdd or modify FlashDreams video post-processing processors, sessions, presets, and runner stream wiring. Use when implementing a new VideoPostProcessorConfig / VideoPostProcessor / VideoPostProcessorSession, registering a --postprocess.preset entry point, changing VideoPostprocessStream behavior, or reasoning about streaming buffering, layouts, per-view processing, distributed execution, or postprocess tests.Flashdreams PreparationUse when changing FlashDreams V2 downloads, compilation, native loading, model construction, runtime validation, or application preloading.Integrate A ModelEnd-to-end workflow for porting an external video diffusion model into a flashdreams integration — scope the architecture, scaffold a workspace-member plugin, reuse an existing recipe, write the checkpoint key-remap, layer model-specific conditioners, wire the runner, and verify with checkpoint weight-equality + upstream parity + a GPU rollout. Use when integrating a new model (e.g. a HuggingFace/research release) into flashdreams or a downstream repo, porting upstream weights, or reproducing anMaintaining Oss StateMaintain FlashDreams's OSS-release state — the LICENSE / NOTICE / THIRD-PARTY-NOTICES / REUSE.toml / LICENSES/ / CONTRIBUTING.md collateral that satisfies OSRB Bug 6107043, the per-file SPDX headers, the third-party dependency manifest in THIRD-PARTY-NOTICES, and the pyproject.toml + uv.lock dependency pins. Use when adding or upgrading a runtime dependency, vendoring third-party source into the repo, adding a new first-party source file (any .py / .pyx / .pyi / .c / .cc / .cpp / .h / .hpp / .cuProfile Model PerformanceInspect and baseline performance for FlashDreams-style model integrations and interactive demos: map the generation path, add trustworthy timing splits, build focused probes, and identify whether decode, model/denoise, cache, data transfer, or presentation dominates. Use when starting performance work on an existing model runner, demo, serving path, or downstream integration before implementing speedups. Pair with `apply-inference-optimizations` after the bottleneck is known and `validate-perfor