Empty wildcards in the detailers causes an error

[TaeoG]

If you leave the wildcard box empty in the Detailer or DetailerDebug, SEGS or SEGS/PIPE, Comfy ui throws an error

Input and output sizes should be greater than 0, but got input (H: 512, W: 0) output (H: 512, W: 0)

File "C:\ComfyUI_windows_portable\ComfyUI\execution.py", line 152, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "C:\ComfyUI_windows_portable\ComfyUI\execution.py", line 82, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "C:\ComfyUI_windows_portable\ComfyUI\execution.py", line 75, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "C:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_pack.py", line 1042, in doit
DetailerForEach.do_detail(image, segs, model, clip, vae, guide_size, guide_size_for, max_size, seed, steps, cfg,
File "C:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_pack.py", line 204, in do_detail
enhanced_pil, cnet_pil = core.enhance_detail(cropped_image, model, clip, vae, guide_size, guide_size_for_bbox, max_size,
File "C:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\core.py", line 230, in enhance_detail
refined_latent = ksampler_wrapper(model, seed, steps, cfg, sampler_name, scheduler, positive, negative,
File "C:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\core.py", line 47, in ksampler_wrapper
nodes.KSampler().sample(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "C:\ComfyUI_windows_portable\ComfyUI\nodes.py", line 1236, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
File "C:\ComfyUI_windows_portable\ComfyUI\nodes.py", line 1206, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "C:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\sample_error_enhancer.py", line 22, in informative_sample
raise e
File "C:\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 "C:\ComfyUI_windows_portable\ComfyUI\comfy\sample.py", line 93, 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 "C:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 742, in sample
samples = getattr(k_diffusion_sampling, "sample_{}".format(self.sampler))(self.model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar)
File "C:\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\k_diffusion\sampling.py", line 137, in sample_euler
denoised = model(x, sigma_hat * s_in, **extra_args)
File "C:\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 323, in forward
out = self.inner_model(x, sigma, cond=cond, uncond=uncond, cond_scale=cond_scale, cond_concat=cond_concat, model_options=model_options, seed=seed)
File "C:\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\k_diffusion\external.py", line 125, in forward
eps = self.get_eps(input * c_in, self.sigma_to_t(sigma), **kwargs)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\k_diffusion\external.py", line 151, in get_eps
return self.inner_model.apply_model(*args, **kwargs)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 311, in apply_model
out = sampling_function(self.inner_model.apply_model, x, timestep, uncond, cond, cond_scale, cond_concat, model_options=model_options, seed=seed)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 289, in sampling_function
cond, uncond = calc_cond_uncond_batch(model_function, cond, uncond, x, timestep, max_total_area, cond_concat, model_options)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 242, in calc_cond_uncond_batch
c['control'] = control.get_control(input_x, timestep_, c, len(cond_or_uncond))
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\controlnet.py", line 153, in get_control
self.cond_hint = comfy.utils.common_upscale(self.cond_hint_original, x_noisy.shape[3] * 8, x_noisy.shape[2] * 8, 'nearest-exact', "center").to(self.control_model.dtype).to(self.device)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\utils.py", line 379, in common_upscale
return torch.nn.functional.interpolate(s, size=(height, width), mode=upscale_method)
File "C:\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\functional.py", line 3938, in interpolate
return torch._C._nn._upsample_nearest_exact2d(input, output_size, scale_factors)

[ltdrdata]

First, confirm whether Impact Pack and ComfyUI are up to date, and check if the workflow uses nodes from an older version. The easiest way to verify if a node of workflow is old is to add a new one and compare the values.

If issues persist, please upload the workflow. I will inspect it for you.

[TaeoG]

I updated just earlier today, and made this workflow from scratch, so afaik that should all be ok hopefully uploading this image here will keep the workflow metadata

[ltdrdata]

Unfortunately.. I am failed to reproduce this issue. We need to go more difficult way.

[ltdrdata]

Upon closer examination of the error message, it appears that the conditioning related to the earlier part of the controlnet is breaking. Try removing the section where controlnet is applied and give it another try.

[TaeoG]

yes, it appears to be something related to combining the MultiAreaConditioning and a pose controlnet. If I leave the controlnet in place and disable the MultiAreaConditioning, it works. I don't know even how to begin trying to debug something like that, but I've found that just putting an empty space in the wildcard box is a functional workaround

[ltdrdata]

The wildcard box in detailer override conditioning. So, wildcard box isn't problem.

You need to digging that part without detailer.

[TaeoG]

Both Ksamplers use the conditioning normally without issue, so I don't really know where else to look