Merge branch 'master' into patch_hooks_improved_memory

comfy/model_base.py

@@ -154,7 +154,6 @@ 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)
 

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,)