---

name: "applications-and-deployment" description: "Guides MMGeneration latent editing, interpolation, projection, StyleCLIP, and TorchServe deployment workflows." disable-model-invocation: true metadata: disco-role: operating license: Apache 2.0

Applications and Deployment

Use this sub-skill when the user wants to manipulate a StyleGAN-style latent space or package a model for serving.

Typical triggers

• "How do I interpolate between two latent codes?"
• "How do I project an image into StyleGAN space?"
• "How do I run SeFa or StyleCLIP?"
• "How do I export a checkpoint for TorchServe?"
• "How do I explain the advanced app scripts?"

Include here

• apps/interpolate_sample.py
• apps/conditional_interpolate.py
• apps/stylegan_projector.py
• apps/modified_sefa.py
• apps/styleclip.py
• tools/deployment/mmgen2torchserver.py
• tools/deployment/mmgen_unconditional_handler.py
• tools/deployment/test_torchserver.py
• StyleGAN latent-space assumptions and TorchServe packaging behavior

Exclude here

• Basic sampling and translation -> inference-and-sampling
• Training and resume behavior -> training-and-distribution
• Metric evaluation -> evaluation-and-metrics
• Config and registry editing -> configuration-and-extension

Read these files first

• references/workflows.md
• references/troubleshooting.md
• ../../references/model-overview.md
• ../../references/api-reference.md
• ../../references/cli-reference.md

What good guidance looks like

A future agent should be able to:

1. Tell the user which latent space or model family the script assumes.
2. Explain which apps need a StyleGAN-family generator versus a translation model.
3. Distinguish safe help/shape checks from expensive image-generation runs.
4. Describe the TorchServe packaging workflow without starting the server.
5. Warn about optional dependencies such as CLIP.

Common failure modes

• The checkpoint is not StyleGAN-like, so the latent projection or SeFa route does not apply.
• The script expects w or w+ latents, but the caller passes a different representation.
• StyleCLIP fails because the optional clip dependency is missing.
• TorchServe packaging fails because the external archiver/service is not installed.

For concrete recovery steps, read references/troubleshooting.md.