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How Text-to-Video AI Works Under the Hood

1From Prompt to Conditioning Signal2Latent Diffusion: Generating Video in Compressed Space3Spatio-Temporal Attention: Keeping Frames Consistent4Where the Pipeline Breaks: Failure Modes and Their Causes
Where the Pipeline Breaks: Failure Modes and Their Causes

The Guidance Scale Trade-Off

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Guidance scale decides how hard the denoiser is pushed toward the prompt and away from its unconditional prediction. Sweep it low, and the video drifts from what you asked, but the motion stays loose and natural.
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Guidance scale controls how strongly the denoiser is pushed toward the conditional prediction instead of the unconditional one. Low scale lets the latent drift away from the prompt but keeps motion loose and natural. High scale forces the latent hard toward the prompt, which fixes alignment but over-saturates colors, flattens texture, and freezes motion because the model keeps collapsing toward the same strong conditional direction. There is no setting that maximizes both; the scale is a trade-off between prompt adherence and motion naturalness.

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