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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

Reading the Artifact

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Put the stages back in order and you have a diagnostic map. An artifact appears, and it lights up the stage that produced it.
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The pipeline is a diagnostic map. Prompt misalignment points to conditioning and guidance. Flicker and identity drift point to temporal attention. Motion blur and warping point to latent compression and resolution. Over-saturation and frozen motion point to excessive guidance. Reading an artifact and naming its stage is the procedure: identify the visible symptom, match it to the mechanism that would produce it, then adjust the setting that governs that mechanism.

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