AI: Image to video in local: Difference between revisions
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Revision as of 23:31, 30 October 2025
Basic concepts
GGUF
It is a compressed version of the model, with less parameters and quality loss.
checkpoint
A checkpoint is the file of the model, it includes both the high and the low models.
safetensor
It is an extension where checkpoints work without compression.
Quantification (Q)
If a model is quantified it is a compressed version of the original model where the numbers are stored with fewer bits (less precision). It saves memory and runs faster, at the cost of some quality.
The higher number of the quantification is, lower quality the result will have and lower memory requirements will have.
Floating point (fp)
It is a way of storing real numbers (like 3.14159) with high precision. Used for model weights and calculations.
The higher number of fp is, higher quality will have the result and higher memory requirements will have.