xinyun/ComfyUI
1
0
Fork 0
mirror of https://git.datalinker.icu/comfyanonymous/ComfyUI synced 2026-08-15 21:36:42 +08:00
Code Issues Packages Projects Releases Wiki Activity

Change max reuse_threshold to 3.0

Browse Source
This commit is contained in:
Jedrzej Kosinski 2025-08-20 19:16:58 -07:00
parent e4cc5c4082
commit 66afaaa42b
1 changed files with 2 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
comfy_extras/nodes_easycache.py
View File

@ -269,7 +269,7 @@ class EasyCacheNode(io.ComfyNode):
category="advanced/debug/model",
inputs=[
io.Model.Input("model", tooltip="The model to add EasyCache to."),
io.Float.Input("reuse_threshold", min=0.0, default=0.2, max=1.0, step=0.01, tooltip="The threshold for reusing cached steps."),
io.Float.Input("reuse_threshold", min=0.0, default=0.2, max=3.0, step=0.01, tooltip="The threshold for reusing cached steps."),
io.Float.Input("start_percent", min=0.0, default=0.15, max=1.0, step=0.01, tooltip="The relative sampling step to begin use of EasyCache."),
io.Float.Input("end_percent", min=0.0, default=0.95, max=1.0, step=0.01, tooltip="The relative sampling step to end use of EasyCache."),
io.Int.Input("subsample_factor", min=1, default=8, max=128, step=1, tooltip="The factor to subsample latents to cache by."),
@ -382,7 +382,7 @@ class SuperEasyCacheNode(io.ComfyNode):
category="advanced/debug/model",
inputs=[
io.Model.Input("model", tooltip="The model to add SuperEasyCache to."),
io.Float.Input("reuse_threshold", min=0.0, default=0.2, max=1.0, step=0.01, tooltip="The threshold for reusing cached steps."),
io.Float.Input("reuse_threshold", min=0.0, default=0.2, max=3.0, step=0.01, tooltip="The threshold for reusing cached steps."),
io.Float.Input("start_percent", min=0.0, default=0.15, max=1.0, step=0.01, tooltip="The relative sampling step to begin use of EasyCache."),
io.Float.Input("end_percent", min=0.0, default=0.95, max=1.0, step=0.01, tooltip="The relative sampling step to end use of EasyCache."),
io.Int.Input("subsample_factor", min=1, default=8, max=128, step=1, tooltip="The factor to subsample latents to cache by."),