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FramePack for memory-aware video generation

Experiment with generating video using a compact representation of prior frames.

Video and AnimationPublished 2 min read

Key Takeaways

  • FramePack's approach compresses the conditioning history so the next segment can be generated without carrying every previous frame at the same resolution.
  • Follow the documented path for the supported model and conditioning input.
  • Start with a short image-conditioned clip, then extend duration while recording memory and watching for subject drift.
  • Longer generation still costs time and can accumulate visual changes.

How it works

FramePack's approach compresses the conditioning history so the next segment can be generated without carrying every previous frame at the same resolution. The repository provides reference workflows around that approach.

What you need

Follow the documented path for the supported model and conditioning input. Record the reference image, clip length and device to make memory comparisons interpretable.

What to try first

Start with a short image-conditioned clip, then extend duration while recording memory and watching for subject drift. Keep the original image available for comparison.

Compare the start, middle and end of each clip. A quick contact sheet makes gradual changes in the subject easier to spot than a single preview.

Where to look for failures

Longer generation still costs time and can accumulate visual changes. Check documented GPU, model and workflow requirements.

Related Franklin pages

A reference frame, motion module and full graph affect output in different ways. Save the workflow and inspect early and late frames when testing a clip's continuity.

For video assembled from authored HTML and motion graphics, see Franklin’s HyperFrames profile. HyperFrames

Project documentation

Try it for your workflow

Explore the project’s documentation for setup and usage, or save this page to a collection for later.

Read the project documentation ↗