Project brief
From scenario and baseline to reproducible evidence.
Optimize a video-generation or video-to-video workflow for predictable memory, speed, and quality on a single consumer GPU.
The handbook starts with a runnable minimum, then adds real constraints. The final presentation should explain the method, results, failures, limitations, and next steps.
Evaluation focus
Use metrics to make trade-offs visible.
Project handbook
Project brief
Choose a focused task such as a product concept clip, shot extension, text-to-video, motion retargeting, or instructional animation. Treat memory and runtime as design constraints rather than simply generating a few attractive clips.
Minimum version
Use an open or clearly licensed video model at a fixed version with at least 20 prompts or input videos.
- Record peak memory, generation time, duration, resolution, and random seed.
- Establish a baseline and test at least two optimizations such as lower precision, CPU offload, tiling, chunking, quantization, or interpolation.
- Separate generation from post-processing.
- Use a fixed evaluation sheet or blind review, not only selected successes.
Usage boundaries
Do not scrape copyrighted video in bulk, bypass platform restrictions, generate non-consensual intimate content, or create deceptive impersonations of real people. Follow model, input, and output licenses.
Resource note: External code, models, datasets, and platforms remain subject to their own licenses, terms of service, and applicable law.