From 5818f6cf51d8e939b47a9d0ce349a10e2c8e504d Mon Sep 17 00:00:00 2001 From: comfyanonymous Date: Fri, 22 Nov 2024 10:49:15 -0500 Subject: [PATCH 1/2] Remove print. --- comfy/model_base.py | 1 - 1 file changed, 1 deletion(-) diff --git a/comfy/model_base.py b/comfy/model_base.py index e7bfc8d76..3c385cda9 100644 --- a/comfy/model_base.py +++ b/comfy/model_base.py @@ -142,7 +142,6 @@ class BaseModel(torch.nn.Module): extra = extra.to(dtype) extra_conds[o] = extra - print(t) model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float() return self.model_sampling.calculate_denoised(sigma, model_output, x) From 94323a26a7ad97aae3eb5aea9d452332dc3b7deb Mon Sep 17 00:00:00 2001 From: comfyanonymous Date: Fri, 22 Nov 2024 10:51:31 -0500 Subject: [PATCH 2/2] Remove prints. --- comfy_extras/nodes_lt.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/comfy_extras/nodes_lt.py b/comfy_extras/nodes_lt.py index 17177b662..9d0639378 100644 --- a/comfy_extras/nodes_lt.py +++ b/comfy_extras/nodes_lt.py @@ -152,7 +152,6 @@ class LTXVScheduler: mm = (max_shift - base_shift) / (x2 - x1) b = base_shift - mm * x1 sigma_shift = (tokens) * mm + b - print(sigma_shift) power = 1 sigmas = torch.where( @@ -170,7 +169,6 @@ class LTXVScheduler: stretched = 1.0 - (one_minus_z / scale_factor) sigmas[non_zero_mask] = stretched - print(sigmas) return (sigmas,)