Error occurred when executing KSampler:Given groups=1, weight of size [320, 5, 3, 3], expected input[32, 4, 96, 96] to have 5 channels, but got 4 channels instead

[dancemanUK]

Error occurred when executing KSampler:

Given groups=1, weight of size [320, 5, 3, 3], expected input[32, 4, 96, 96] to have 5 channels, but got 4 channels instead

[error.txt](https://github.com/comfyanonymous/ComfyUI/files/13759139/error.txt)

got prompt [AnimateDiffEvo] - INFO - Sliding context window activated - latents passed in (64) greater than context_length 16. [AnimateDiffEvo] - INFO - Using motion module v3_sd15_mm_old.ckpt version v3. 0%| | 0/17 [00:00<?, ?it/s] 2023-12-23 21:09:44,904 - root - ERROR - !!! Exception during processing !!! 2023-12-23 21:09:44,906 - root - ERROR - Traceback (most recent call last): File "G:\comfyUI+AnimateDiff\ComfyUI\execution.py", line 153, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "G:\comfyUI+AnimateDiff\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 "G:\comfyUI+AnimateDiff\ComfyUI\execution.py", line 76, in map_node_over_list results.append(getattr(obj, func)(**slice_dict(input_data_all, i))) File "G:\comfyUI+AnimateDiff\ComfyUI\nodes.py", line 1299, in sample return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) File "G:\comfyUI+AnimateDiff\ComfyUI\nodes.py", line 1269, in common_ksampler samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, File "G:\comfyUI+AnimateDiff\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\sample_error_enhancer.py", line 22, in informative_sample raise e File "G:\comfyUI+AnimateDiff\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\sample_error_enhancer.py", line 9, in informative_sample return original_sample(*args, **kwargs) # This code helps interpret error messages that occur within exceptions but does not have any impact on other operations. File "G:\comfyUI+AnimateDiff\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 284, in motion_sample return wrap_function_to_inject_xformers_bug_info(orig_comfy_sample)(model, noise, *args, **kwargs) File "G:\comfyUI+AnimateDiff\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\model_utils.py", line 205, in wrapped_function return function_to_wrap(*args, **kwargs) File "G:\comfyUI+AnimateDiff\ComfyUI\comfy\sample.py", line 101, 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 "G:\comfyUI+AnimateDiff\ComfyUI\custom_nodes\ComfyUI_smZNodes_init_.py", line 129, in KSampler_sample return KSampler_sample(*args, **kwargs) File "G:\comfyUI+AnimateDiff\ComfyUI\comfy\samplers.py", line 716, 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 "G:\comfyUI+AnimateDiff\ComfyUI\custom_nodes\ComfyUI_smZNodes_init.py", line 138, in sample return _sample(*args, **kwargs) File "G:\comfyUI+AnimateDiff\ComfyUI\comfy\samplers.py", line 622, in sample samples = sampler.sample(model_wrap, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar) File "G:\comfyUI+AnimateDiff\ComfyUI\comfy\samplers.py", line 526, in sample return uni_pc.sample_unipc(model_wrap, noise, latent_image, sigmas, max_denoise=self.max_denoise(model_wrap, sigmas), extra_args=extra_args, noise_mask=denoise_mask, callback=callback, variant='bh2', disable=disable_pbar) File "G:\comfyUI+AnimateDiff\ComfyUI\comfy\extra_samplers\uni_pc.py", line 892, in sample_unipc x = uni_pc.sample(img, timesteps=timesteps, skip_type="time_uniform", method="multistep", order=order, lower_order_final=True, callback=callback, disable_pbar=disable) File "G:\comfyUI+AnimateDiff\ComfyUI\comfy\extra_samplers\uni_pc.py", line 730, in sample model_prev_list = [self.model_fn(x, vec_t)] File "G:\comfyUI+AnimateDiff\ComfyUI\comfy\extra_samplers\uni_pc.py", line 421, in model_fn return self.data_prediction_fn(x, t) File "G:\comfyUI+AnimateDiff\ComfyUI\comfy\extra_samplers\uni_pc.py", line 403, in data_prediction_fn noise = self.noise_prediction_fn(x, t) File "G:\comfyUI+AnimateDiff\ComfyUI\comfy\extra_samplers\uni_pc.py", line 397, in noise_prediction_fn return self.model(x, t) File "G:\comfyUI+AnimateDiff\ComfyUI\comfy\extra_samplers\uni_pc.py", line 329, in model_fn return noise_pred_fn(x, t_continuous) File "G:\comfyUI+AnimateDiff\ComfyUI\comfy\extra_samplers\uni_pc.py", line 297, in noise_pred_fn output = model(x, t_input, **model_kwargs) File "G:\comfyUI+AnimateDiff\ComfyUI\comfy\extra_samplers\uni_pc.py", line 883, in lambda input, sigma, **kwargs: predict_eps_sigma(model, input, sigma, **kwargs), File "G:\comfyUI+AnimateDiff\ComfyUI\comfy\extra_samplers\uni_pc.py", line 858, in predict_eps_sigma return (input - model(input, sigma_in, **kwargs)) / sigma File "G:\comfyUI+AnimateDiff\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "G:\comfyUI+AnimateDiff\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in call_impl return forward_call(*args, **kwargs) File "G:\comfyUI+AnimateDiff\ComfyUI\comfy\samplers.py", line 275, in forward return self.apply_model(*args, **kwargs) File "G:\comfyUI+AnimateDiff\ComfyUI\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 876, in apply_model out = super().apply_model(*args, **kwargs) File "G:\comfyUI+AnimateDiff\ComfyUI\comfy\samplers.py", line 272, in apply_model out = sampling_function(self.inner_model, x, timestep, uncond, cond, cond_scale, model_options=model_options, seed=seed) File "G:\comfyUI+AnimateDiff\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 634, in sliding_sampling_function cond, uncond = sliding_calc_cond_uncond_batch(model, cond, uncond, x, timestep, model_options) File "G:\comfyUI+AnimateDiff\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 615, in sliding_calc_cond_uncond_batch sub_cond_out, sub_uncond_out = calc_cond_uncond_batch(model, sub_cond, sub_uncond, sub_x, sub_timestep, model_options) File "G:\comfyUI+AnimateDiff\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 488, in calc_cond_uncond_batch c['control'] = control.get_control(input_x, timestep, c, len(cond_or_uncond)) File "G:\comfyUI+AnimateDiff\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\control\utils.py", line 411, in get_control_inject return self.get_control_advanced(x_noisy, t, cond, batched_number) File "G:\comfyUI+AnimateDiff\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\control\control.py", line 310, in get_control_advanced control = self.control_model(x=x_noisy.to(dtype), hint=self.cond_hint, timesteps=timestep.float(), context=context.to(dtype), y=y) File "G:\comfyUI+AnimateDiff\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "G:\comfyUI+AnimateDiff\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, **kwargs) File "G:\comfyUI+AnimateDiff\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\control\control_sparsectrl.py", line 56, in forward guided_hint = self.input_hint_block(hint, emb, context) File "G:\comfyUI+AnimateDiff\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "G:\comfyUI+AnimateDiff\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, **kwargs) File "G:\comfyUI+AnimateDiff\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 62, in forward return forward_timestep_embed(self, *args, **kwargs) File "G:\comfyUI+AnimateDiff\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 111, in forward_timestep_embed x = layer(x) File "G:\comfyUI+AnimateDiff\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "G:\comfyUI+AnimateDiff\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, **kwargs) File "G:\comfyUI+AnimateDiff\ComfyUI\comfy\ops.py", line 43, in forward return super().forward(*args, **kwargs) File "G:\comfyUI+AnimateDiff\python_embeded\lib\site-packages\torch\nn\modules\conv.py", line 460, in forward return self._conv_forward(input, self.weight, self.bias) File "G:\comfyUI+AnimateDiff\python_embeded\lib\site-packages\torch\nn\modules\conv.py", line 456, in _conv_forward return F.conv2d(input, weight, bias, self.stride, RuntimeError: Given groups=1, weight of size [320, 5, 3, 3], expected input[32, 4, 96, 96] to have 5 channels, but got 4 channels instead

Prompt executed in 2.59 seconds

[dancemanUK]

change animatediff controlnet model, it 's OK ,please closed this issues. thank you!

[kane1718]

I also came across this sort of channel asymmetry issue. How did you address it? I am unable to modify the model.

[mcmonkey4eva]

@kane1718 this is a very old issue, your situation is probably unique, please post as a new issue