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Enable cfg1 optimization for DualModelGuider with CFGGuider (#14290) 

* Enable cfg1 optimization for DualModelGuider

* Fix CFG Override tooltip
This commit is contained in:
Jukka Seppänen 2026-06-05 10:04:10 +03:00 committed by GitHub
parent ab0d8a9203
commit 5aa71b9bc2
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1 changed files with 4 additions and 3 deletions
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7
comfy_extras/nodes_custom_sampler.py
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@ -933,9 +933,10 @@ class Guider_DualModel(comfy.samplers.CFGGuider):
def predict_noise(self, x, timestep, model_options={}, seed=None):
positive = self.conds.get("positive", None)
if self.uncond_inner is None: # cfg == 1 or no negative -> single model, cond only
return comfy.samplers.calc_cond_batch(self.inner_model, [positive], x, timestep, model_options)[0]
cond = comfy.samplers.calc_cond_batch(self.inner_model, [positive], x, timestep, model_options)[0]
# uncond model not loaded (base cfg==1/no negative), or cfg driven to 1.0 this step -> single model, cond only
if self.uncond_inner is None or (math.isclose(self.cfg, 1.0) and not model_options.get("disable_cfg1_optimization", False)):
return cond
uncond_model_options = model_options
if "multigpu_clones" in model_options: # TODO: support multigpu instead of just running uncond on a single GPU
@ -1140,7 +1141,7 @@ class CFGOverride(io.ComfyNode):
return io.Schema(
node_id="CFGOverride",
display_name="CFG Override",
description="Override cfg to a fixed value over a [start, end] percent slice of the steps. "
description="Override cfg to a fixed value over a [start, end] percent (sigma) range. "
"With multiple overrides, the one nearest the sampler wins on overlap.",
category="sampling/custom_sampling",
inputs=[