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| # Caching methods | |
| Cache methods speedup diffusion transformers by storing and reusing intermediate outputs of specific layers, such as attention and feedforward layers, instead of recalculating them at each inference step. | |
| ## CacheMixin | |
| [[autodoc]] CacheMixin | |
| ## PyramidAttentionBroadcastConfig | |
| [[autodoc]] PyramidAttentionBroadcastConfig | |
| [[autodoc]] apply_pyramid_attention_broadcast | |
| ## FasterCacheConfig | |
| [[autodoc]] FasterCacheConfig | |
| [[autodoc]] apply_faster_cache | |