Ksample not working,how can i do?

[huru0510]

1, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "C:\ComfyUI_windows_portable\ComfyUI\execution.py", line 81, 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 74, in map_node_over_list results.append(getattr(obj, func)(slice_dict(input_data_all, i))) File "C:\ComfyUI_windows_portable\ComfyUI\nodes.py", line 1355, 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 1325, 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) # This code helps interpret error messages that occur within exceptions but does not have any impact on other operations. File "C:\ComfyUI_windows_portable\ComfyUI\comfy\sample.py", line 43, in sample samples = sampler.sample(noise, positive, negative, 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 794, 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 "C:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 696, in sample return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "C:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 683, in sample output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "C:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 662, in inner_sample samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar) File "C:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 567, in sample samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, self.extra_options) 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 583, in sample_dpmpp_2m denoised = model(x, sigmas[i] * s_in, extra_args) File "C:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 291, in call out = self.inner_model(x, sigma, model_options=model_options, seed=seed) File "C:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 649, in call return self.predict_noise(*args, *kwargs) File "C:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 652, in predict_noise return sampling_function(self.inner_model, x, timestep, self.conds.get("negative", None), self.conds.get("positive", None), self.cfg, model_options=model_options, seed=seed) File "C:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 277, in sampling_function out = calc_cond_batch(model, conds, x, timestep, model_options) File "C:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 200, in calc_cond_batch c['control'] = control.get_control(inputx, timestep, c, len(cond_or_uncond)) File "C:\ComfyUI_windows_portable\ComfyUI\comfy\controlnet.py", line 184, in get_control control = self.control_model(x=x_noisy.to(dtype), hint=self.cond_hint, timesteps=timestep.float(), context=context.to(dtype), y=y) File "C:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl return self._call_impl(args, kwargs)File "C:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl return forward_call(*args, kwargs) File "C:\ComfyUI_windows_portable\ComfyUI\comfy\cldm\cldm.py", line 306, in forward h = module(h, emb, context)File "C:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl return self._call_impl(*args, *kwargs) File "C:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl return forward_call(args, kwargs) File "C:\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 60, in forward return forward_timestep_embed(self, *args, kwargs) File "C:\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 44, in forward_timestep_embed x = layer(x, context, transformer_options) File "C:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl return self._call_impl(*args, *kwargs) File "C:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl return forward_call(args, kwargs) File "C:\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\attention.py", line 644, in forward x = block(x, context=context[i], transformer_options=transformer_options) File "C:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl return self._call_impl(*args, kwargs) File "C:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl return forward_call(*args, *kwargs) File "C:\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\attention.py", line 571, in forward n = self.attn2(n, context=context_attn2, value=value_attn2) File "C:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl return self._call_impl(args, kwargs) File "C:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl return forward_call(*args, kwargs) File "C:\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\attention.py", line 417, in forward k = self.to_k(context) File "C:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl return self._call_impl(*args, *kwargs) File "C:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl return forward_call(args, kwargs) File "C:\ComfyUI_windows_portable\ComfyUI\comfy\ops.py", line 52, in forward return super().forward(*args, **kwargs) File "C:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\linear.py", line 116, in forward return F.linear(input, self.weight, self.bias)

[AngryLoki]

@huru0510 , your report does not contain an actual error message, could you copy the whole message?

[huru0510]

@huru0510 , your report does not contain an actual error message, could you copy the whole message?

After I use "Apply controlnet", Ksample doesn't work.

[Neeru55]

@huru0510 even I'm facing this error, did u find any solution

[AngryLoki]

@huru0510 , you missed half of traceback (created https://github.com/comfyanonymous/ComfyUI/issues/3761), but I tried to reproduce, scrolled up and first line was:

mat1 and mat2 shapes cannot be multiplied (154x2048 and 768x320)

From your screenshot it looks like you are trying to apply StableDiffusion 1.5 ControlNet to Pony-whatever model (SDXL-derivative), which won't work (by design). Switch to any canny-controlnet for SDXL.