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https://github.com/comfyanonymous/ComfyUI.git
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7d4530f6f5
This commit solves a number of bugs and adds some caching related functionality. Specifically: 1. Caching is now input-based. In cases of completely identical nodes, the output will be reused (for example, if you have multiple LoadCheckpoint nodes loading the same checkpoint). If a node doesn't want this behavior (e.g. a `RandomInteger` node, it should set `NOT_IDEMPOTENT = True`. 2. This means that nodes within a component will now be cached and will only change if the input actually changes. Note that types that can't be hashed by default will always count as changed (though the component itself will only expand if one of its inputs changes). 3. A new LRU caching strategy is now available by starting with `--cache-lru 100`. With this strategy, in addition to the latest workflow being cached, up to N (100 in the example) node outputs will be retained. This allows users to work on multiple workflows or experiment with different inputs without losing the benefits of caching (at the cost of more RAM and VRAM). I intentionally left some additional debug print statements in for this strategy for the moment. 4. A new endpoint `/debugcache` has been temporarily added to assist with tracking down issues people encounter. It allows you to browse the contents of the cache. 5. Outputs from ephemeral nodes will now be communicated to the front-end with both the ephemeral node id, the 'parent' node id, and the 'display' node id. The front-end has been updated to deal with this. |
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| .. | ||
| cldm | ||
| extra_samplers | ||
| k_diffusion | ||
| ldm | ||
| sd1_tokenizer | ||
| t2i_adapter | ||
| taesd | ||
| caching.py | ||
| checkpoint_pickle.py | ||
| cli_args.py | ||
| clip_config_bigg.json | ||
| clip_vision_config_g.json | ||
| clip_vision_config_h.json | ||
| clip_vision_config_vitl.json | ||
| clip_vision.py | ||
| controlnet.py | ||
| diffusers_convert.py | ||
| diffusers_load.py | ||
| gligen.py | ||
| graph_utils.py | ||
| graph.py | ||
| latent_formats.py | ||
| lora.py | ||
| model_base.py | ||
| model_detection.py | ||
| model_management.py | ||
| model_patcher.py | ||
| ops.py | ||
| sample.py | ||
| samplers.py | ||
| sd1_clip_config.json | ||
| sd1_clip.py | ||
| sd2_clip_config.json | ||
| sd2_clip.py | ||
| sd.py | ||
| sdxl_clip.py | ||
| supported_models_base.py | ||
| supported_models.py | ||
| utils.py | ||