算法艺术创作
algorithmic-art
通过代码和可调参数创作生成艺术与交互式视觉效果。
next-pretraining【设计与创意】Operate InternVideo-Next stage1 and stage2 visual pretraining workflows, architecture, data, and failure modes.
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Use this sub-skill when the task is about InternVideo-Next: stage1/stage2 pretraining, visual foundation model architecture, model-zoo selection, CLIP/SigLIP teacher distillation, diffusion loss, JEPA-style masks, DeepSpeed/DDP command shaping, or FlashAttention caveats.
Do not use this sub-skill for InternVideo2.5/3 video MLLM chat/SFT/evaluation or InternVideo2 video-text retrieval. Use the sibling datasets sub-skill for annotation validation before constructing a pretraining run.
references/workflows.md for stage selection, model names, command shapes, data-list formats, architecture boundaries, and model zoo notes.troubleshooting.md before changing FlashAttention, DeepSpeed, dataset loaders, checkpoint loading, or stage2 target-encoder behavior.datasets sub-skill and use its bundled validator for annotation/list sanity checks.Report the selected stage, model variant, teacher/checkpoint expectations, data-list format, launch shape, required backend, validation status, and unresolved gaps such as missing FlashAttention or unavailable stage1 checkpoint.