计划执行与检查节点
executing-plans
按既定实施计划完成工作,保持过程检查和反馈。
paired-inference【效率与协作】Route Pix2Pix-Turbo paired image-translation inference for edge-to-image, stochastic sketch-to-image, custom Pix2Pix checkpoints, and local paired Gradio demos.
独立 GitHub 快照 · 自动分类 · 以原作者文档为准
Use this sub-skill when the task is Pix2Pix-Turbo paired image translation:
Do not use this sub-skill for unpaired CycleGAN-Turbo translation; route that to unpaired-inference. Do not use it for dataset layout, training, or checkpoint creation; route those to training.
These helpers do not run model inference or launch a server by default:
scripts/build_paired_inference_command.py validates paired inference arguments and prints the source-checkout command.scripts/preview_canny.py writes a local Canny control/preview image without downloading models.scripts/build_gradio_command.py prints the paired Gradio launch command and prerequisites.The source paired inference code is CUDA-oriented and constructs Stable Diffusion Turbo components plus Pix2Pix-Turbo LoRA checkpoints before inference. This generated sub-skill preserves the verified command/API behavior and safe parser/preprocessing helpers, but it does not claim that full model inference, checkpoint download, Gradio serving, or training was executed during skill drafting.