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name: automatic-colorization description: "Run ECCV16 and SIGGRAPH17 automatic image colorization to saved PNG outputs with CPU/CUDA and download troubleshooting guidance." disable-model-invocation: true metadata: disco-role: operating license: BSD 2-Clause

Automatic Colorization

Use this sub-skill when the task is to colorize an input image end-to-end with the ECCV16 and/or SIGGRAPH17 automatic colorizers, save PNG outputs, select CPU or CUDA execution, or debug release-style model/download/output failures.

Route

• For complete command recipes, setup assumptions, CPU/CUDA behavior, output names, validation checks, and the release-workflow mapping, use references/workflows.md.
• For dependency, import-path, pretrained-weight download, CUDA, image-read, output-write, and headless execution failures, use references/troubleshooting.md.
• For the bundled headless helper, use scripts/colorize_image.py.
• For low-level Python APIs, tensor shapes, preprocessing details, or SIGGRAPH hint inputs, route to the sibling ../python-api/ skill instead of expanding that detail here.

Operating boundaries

• Supported: automatic colorization with eccv16, siggraph17, or both; local image input; saved PNG outputs; CPU, CUDA, or auto device selection; pretrained weights by default; no-GUI/headless operation.
• Not supported here: historical Caffe training, representation-learning experiments, training workflows, or detailed programmatic tensor/hint usage.
• Do not use --skip-pretrained for quality colorization. It is only for smoke/API checks when downloads are intentionally disabled.