hao-ai-lab-FastVideo/docs/cookbook/glm-image.md

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GLM-Image recipes

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GLM-Image inference recipes

GLM-Image from Z.ai supports both text-to-image generation and instruction-based image editing, each with a maintained example.

Inference live Distillation planned Fine-tuning planned Training planned Evaluation planned Optimization planned Deployment planned

Choose a model and GPU count

Choose a model, then pick a GPU count. Each selection maps to one checked-in recipe. If that recipe does not use your chosen count, the page says so instead of guessing.

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      <a data-cookbook-source href="../../inference/examples/basic/">Open example source</a>
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Before you run

The generated commands expect a local clone:

git clone https://github.com/hao-ai-lab/FastVideo.git
cd FastVideo

Use Configuration for supported Python and CLI settings, Optimizations for attention and memory tradeoffs, and the support matrix for the supported model and optimization surface.

Troubleshooting

• The editing example reads assets/images/couple.jpg from the repository root, so run it from a repo checkout rather than an arbitrary working directory.
• Output paths default under image_output/; pass --output to change them.

Evidence status

All recipes on this page are Source-backed: their commands, model IDs, and flags were validated against the checked-in FastVideo sources listed above (static validation). No runtime GPU validation is recorded for these recipes, so GPU model fit, memory use, throughput, and runtime duration are Unknown and deliberately not claimed. Runtime buttons show only the GPU counts configured in checked-in sources.