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Add 'input_cond' and 'input_uncond' to sampler_cfg_function args dictionary #10044

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Merged
merged 1 commit into from
Sep 27, 2025
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Add 'input_cond' and 'input_uncond' to sampler_cfg_function args dictionary #10044

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4 changes: 2 additions & 2 deletions comfy/samplers.py
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Original file line number Diff line number Diff line change
Expand Up @@ -360,7 +360,7 @@ def calc_cond_uncond_batch(model, cond, uncond, x_in, timestep, model_options):
def cfg_function(model, cond_pred, uncond_pred, cond_scale, x, timestep, model_options={}, cond=None, uncond=None):
if "sampler_cfg_function" in model_options:
args = {"cond": x - cond_pred, "uncond": x - uncond_pred, "cond_scale": cond_scale, "timestep": timestep, "input": x, "sigma": timestep,
"cond_denoised": cond_pred, "uncond_denoised": uncond_pred, "model": model, "model_options": model_options}
"cond_denoised": cond_pred, "uncond_denoised": uncond_pred, "model": model, "model_options": model_options, "input_cond": cond, "input_uncond": uncond}
cfg_result = x - model_options["sampler_cfg_function"](args)
else:
cfg_result = uncond_pred + (cond_pred - uncond_pred) * cond_scale
Expand Down Expand Up @@ -390,7 +390,7 @@ def sampling_function(model, x, timestep, uncond, cond, cond_scale, model_option
for fn in model_options.get("sampler_pre_cfg_function", []):
args = {"conds":conds, "conds_out": out, "cond_scale": cond_scale, "timestep": timestep,
"input": x, "sigma": timestep, "model": model, "model_options": model_options}
out = fn(args)
out = fn(args)

return cfg_function(model, out[0], out[1], cond_scale, x, timestep, model_options=model_options, cond=cond, uncond=uncond_)

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