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https://github.com/comfyanonymous/ComfyUI.git
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fc247150fe
* Attempting a universal implementation of EasyCache, starting with flux as test; I screwed up the math a bit, but when I set it just right it works. * Fixed math to make threshold work as expected, refactored code to use EasyCacheHolder instead of a dict wrapped by object * Use sigmas from transformer_options instead of timesteps to be compatible with a greater amount of models, make end_percent work * Make log statement when not skipping useful, preparing for per-cond caching * Added DIFFUSION_MODEL wrapper around forward function for wan model * Add subsampling for heuristic inputs * Add subsampling to output_prev (output_prev_subsampled now) * Properly consider conds in EasyCache logic * Created SuperEasyCache to test what happens if caching and reuse is moved outside the scope of conds, added PREDICT_NOISE wrapper to facilitate this test * Change max reuse_threshold to 3.0 * Mark EasyCache/SuperEasyCache as experimental (beta) * Make Lumina2 compatible with EasyCache * Add EasyCache support for Qwen Image * Fix missing comma, curse you Cursor * Add EasyCache support to AceStep * Add EasyCache support to Chroma * Added EasyCache support to Cosmos Predict t2i * Make EasyCache not crash with Cosmos Predict ImagToVideo latents, but does not work well at all * Add EasyCache support to hidream * Added EasyCache support to hunyuan video * Added EasyCache support to hunyuan3d * Added EasyCache support to LTXV (not very good, but does not crash) * Implemented EasyCache for aura_flow * Renamed SuperEasyCache to LazyCache, hardcoded subsample_factor to 8 on nodes * Eatra logging when verbose is true for EasyCache |
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| .. | ||
| cosmos_tokenizer | ||
| blocks.py | ||
| model.py | ||
| position_embedding.py | ||
| predict2.py | ||
| vae.py | ||