shengshu-ai

Diagnoses training/inference failures in video world model pipelines. Triggers on: training hang, loss NaN, shape mismatch, NCCL timeout, SP bug, distillation collapse, half-video noise. Use when user describes a symptom and wants root-cause diagnosis.

Step-by-step recipe for plugging a new video DiT backbone into minWM, grounded in the HunyuanVideo (HY15) and Wan 2.1 reference integrations. Use when a user wants to add a new backbone to the framework.

Onboarding guide for newcomers to video world model training in minWM. Covers two parts: Foundations (background theory for the two-phase pipeline) and Pitfalls (non-obvious mistakes from hands-on experience). Use when a newcomer is starting on controllable video generation training and needs background or wants to avoid common mistakes.

Generate video and images by calling the official Vidu API via vidu CLI. Use when the user wants text-to-image, text-to-video, image-to-video, head-tail-image-to-video, reference-to-image, reference-to-video, lip-sync, text-to-speech, video-compose, Create References, or to submit or check Vidu tasks. Requires VIDU_TOKEN and optional VIDU_BASE_URL.