Unverified50% confidenceFactExact time
The model's internal state refers to the latent-space tensors maintained by the diffusion model during the generation process rather than the decoded pixel images; the Motion Context mechanism is analogous to the KV Cache in language models or hidden state transfer in RNNs.
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50%
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Long-term
Relevance
9/25/2026
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Unverified状态漂移指Agent对当前系统真实状态的认知与实际情况脱节，本质是模型内部表征与外部真实环境的失同步72% similarUnverified工作流中的图像生成节点底层通常基于扩散模型（Diffusion Model），通过正向提示词引导模型生成符合描述的图像67% similarUnverifiedDiffusion models do not logically memorize the precise appearance of the previous frame, but instead rely on attention mechanisms to maintain temporal coherence; when scenes change, the coherence constraint weakens, causing character appearance drift.67% similarUnverifiedContextual framing conveys implicit expectation signals to the model through scenario descriptions, role assignments, or phrasing cues, without the need to issue direct instructions.66% similarUnverifiedLatent space reasoning allows the model to complete thinking in a continuous vector space composed of hidden states, only decoding the result into text at the final stage.66% similar
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