Error Executing KSampler

Seeing the following error when executing any workflow, including the default. Using other KSampler nodes produces the same error.

Error occurred when executing KSampler:

CFGNoisePredictor.apply_model() takes from 6 to 8 positional arguments but 9 were given

File "/home/drew/ComfyUI/execution.py", line 153, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "/home/drew/ComfyUI/execution.py", line 83, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "/home/drew/ComfyUI/execution.py", line 76, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "/home/drew/ComfyUI/nodes.py", line 1237, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
File "/home/drew/ComfyUI/nodes.py", line 1207, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "/home/drew/ComfyUI/custom_nodes/ComfyUI-AnimateDiff-Evolved/animatediff/sampling.py", line 109, in animatediff_sample
return orig_comfy_sample(model, *args, **kwargs)
File "/home/drew/ComfyUI/custom_nodes/ComfyUI-Impact-Pack/modules/impact/sample_error_enhancer.py", line 9, in informative_sample
return original_sample(*args, **kwargs)
File "/home/drew/ComfyUI/comfy/sample.py", line 97, in sample
samples = sampler.sample(noise, positive_copy, negative_copy, cfg=cfg, latent_image=latent_image, start_step=start_step, last_step=last_step, force_full_denoise=force_full_denoise, denoise_mask=noise_mask, sigmas=sigmas, callback=callback, disable_pbar=disable_pbar, seed=seed)
File "/home/drew/ComfyUI/custom_nodes/ComfyUI_smZNodes/__init__.py", line 131, in KSampler_sample
return _KSampler_sample(*args, **kwargs)
File "/home/drew/ComfyUI/comfy/samplers.py", line 781, in sample
return sample(self.model, noise, positive, negative, cfg, self.device, sampler(), sigmas, self.model_options, latent_image=latent_image, denoise_mask=denoise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)
File "/home/drew/ComfyUI/custom_nodes/ComfyUI_smZNodes/__init__.py", line 139, in sample
return _sample(*args, **kwargs)
File "/home/drew/ComfyUI/comfy/samplers.py", line 686, in sample
samples = sampler.sample(model_wrap, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
File "/home/drew/ComfyUI/comfy/samplers.py", line 638, in sample
samples = getattr(k_diffusion_sampling, "sample_{}".format(sampler_name))(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **extra_options)
File "/home/drew/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/home/drew/ComfyUI/comfy/k_diffusion/sampling.py", line 137, in sample_euler
denoised = model(x, sigma_hat * s_in, **extra_args)
File "/home/drew/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/home/drew/ComfyUI/comfy/samplers.py", line 326, in forward
out = self.inner_model(x, sigma, cond=cond, uncond=uncond, cond_scale=cond_scale, model_options=model_options, seed=seed)
File "/home/drew/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/home/drew/ComfyUI/comfy/k_diffusion/external.py", line 180, in forward
return self.get_v(input * c_in, self.sigma_to_t(sigma), **kwargs) * c_out + input * c_skip
File "/home/drew/ComfyUI/comfy/samplers.py", line 305, in get_v
return self.inner_model.apply_model(x, t, cond, **kwargs)
File "/home/drew/ComfyUI/custom_nodes/ComfyUI_smZNodes/smZNodes.py", line 795, in apply_model
out = super().apply_model(x, timestep, cc, uu, cond_scale, cond_concat, model_options, seed)