I used the ControlNet extension & the Realistic Vision checkpoint, and it keeps giving me this error, "AttributeError: 'NoneType' object has no attribute 'shape'" whenever I try to generate a image. Even not using them, I still get this error.

What is the issue and how can I fix it?

Edit: it turns out when trying to use ControlNet, I was matching one of the preprocessors with the wrong models.

AttributeError: 'NoneType' object has no attribute 'shape'

What I'm possibly doing wrong?

hello people, I would like to ask what could cause this problem. everything be working and when I load a controlnet union sdxl it just doesn't work after I try to apply it, I tried many workflows online and all have the same issue. Any one would know what a possible solution for this?

I checked this in Change 'c_adm' to 'y' in ControlNet.get_control by Kosinkadink · Pull Request #1836 · comfyanonymous/ComfyUI but the whole y thing was not found.

thank you <3

I setup Control net according to the brilliantly simple sticky post on the subreddit front page. I must have either messed something up or this is a new problem. Everytime i try to generate something I get this error:

AttributeError: 'NoneType' object has no attribute 'convert'

Does anyone know where the issue might lie or where I should start trouble shooting?

I appreciate the help!

Middle of a paid project and my ControlNet seems to be throwing a wobbly with the KSampler. I've tried different Control and Sampler nodes.

The error I'm recieving is:

Error occurred when executing KSampler (WAS):

'NoneType' object has no attribute 'shape'

File "D:\ComfyUI_windows_portable\ComfyUI\execution.py", line 153, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "D:\ComfyUI_windows_portable\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 "D:\ComfyUI_windows_portable\ComfyUI\execution.py", line 76, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\was-node-suite-comfyui\WAS_Node_Suite.py", line 8818, in sample
return nodes.common_ksampler(model, seed['seed'], steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
File "D:\ComfyUI_windows_portable\ComfyUI\nodes.py", line 1207, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\sample_error_enhancer.py", line 9, in informative_sample
return original_sample(*args, **kwargs)
File "D:\ComfyUI_windows_portable\ComfyUI\comfy\sample.py", line 100, 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 "D:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 728, 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 "D:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 633, in sample
samples = sampler.sample(model_wrap, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
File "D:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 589, 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 "D:\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "D:\ComfyUI_windows_portable\ComfyUI\comfy\k_diffusion\sampling.py", line 137, in sample_euler
denoised = model(x, sigma_hat * s_in, **extra_args)
File "D:\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 287, in forward
out = self.inner_model(x, sigma, cond=cond, uncond=uncond, cond_scale=cond_scale, model_options=model_options, seed=seed)
File "D:\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\ComfyUI_windows_portable\ComfyUI\comfy\k_diffusion\external.py", line 129, in forward
eps = self.get_eps(input * c_in, self.sigma_to_t(sigma), **kwargs)
File "D:\ComfyUI_windows_portable\ComfyUI\comfy\k_diffusion\external.py", line 155, in get_eps
return self.inner_model.apply_model(*args, **kwargs)
File "D:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 275, in apply_model
out = sampling_function(self.inner_model.apply_model, x, timestep, uncond, cond, cond_scale, model_options=model_options, seed=seed)
File "D:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 253, in sampling_function
cond, uncond = calc_cond_uncond_batch(model_function, cond, uncond, x, timestep, max_total_area, model_options)
File "D:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 206, in calc_cond_uncond_batch
c['control'] = control.get_control(input_x, timestep_, c, len(cond_or_uncond))
File "D:\ComfyUI_windows_portable\ComfyUI\comfy\controlnet.py", line 162, in get_control
control = self.control_model(x=x_noisy.to(self.control_model.dtype), hint=self.cond_hint, timesteps=t, context=context.to(self.control_model.dtype), y=y)
File "D:\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\ComfyUI_windows_portable\ComfyUI\comfy\cldm\cldm.py", line 289, in forward
assert y.shape[0] == x.shape[0]

As far as I'm aware I'm up to date on everything.

Any ideas on how to resolve would be greatly appreciated.