train-lora
Validate Draw Things LoRA training end to end with draw-things-cli, including tiny-dataset training, loss and scaler checks, checkpoint sanity, and base-versus-LoRA generation comparison.
Add a new image or video generative model to the Draw Things app / CLI with a compile-first, end-to-end workflow across SwiftDiffusion, tokenizer plumbing, text encoder, fixed encoder, UNet / DiT runtime, VAE, converter and quantizer tooling, and CLI validation.
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Install skill "new-model-integration" with this command: npx skills add drawthingsai/skillsmp-drawthingsai-drawthingsai-new-model-integration
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Validate Draw Things LoRA training end to end with draw-things-cli, including tiny-dataset training, loss and scaler checks, checkpoint sanity, and base-versus-LoRA generation comparison.
Add or tighten Draw Things LoRA trainer support for generative models available in the Draw Things app / CLI, covering LoRA builders, trainer dispatch, tokenizer and fixed-encoder wiring, checkpoint export, numerical debugging, and validation.
摩天轮开放接口二次封装技能。当用户需要对接摩天轮(MTL)开放平台接口、创建MTL HTTP接口、封装摩天轮API时触发。支持自动检测并添加mtl-open-sdk-consumer依赖、初始化ApiClient Bean、创建MtlRestController、根据原生接口定义生成HTTP接口代码。
Non-contact detection of heart rate, respiration, blood oxygen, and heart rate variability. No wearable devices are required; monitoring is achieved solely through camera footage. | 无感生命体征监测分析技能,非接触检测心率、呼吸、血氧、心率变异性,无需穿戴设备,通过摄像头画面即可监测