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The output quality is still early-stage, but the architecture itself is interesting because it hints at how future AI video systems may handle longer animations.
Generates longer AI video clips locally by denoising multiple frame blocks together, helping motion stay more consistent across extended sequences.
Think of it like this: instead of finishing one part of the video completely (one block) and then moving to the next, the model refines all parts of the clip (all blocks) step-by-step together, so motion stays more coherent across the whole sequence.
To be totally honest, the output quality isn’t amazing yet, but I wanted to share it anyway because it’s definitely a milestone in model creation.
And honestly, it’s not bad. You might be able to get something useful out of it for one of your projects.
If you discover something cool it can do, definitely report back and share. That’s half the fun of exploring these early models together.
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