ksample runtime error

[huangjianyi0701]

Error occurred when executing KSampler:

Given groups=1, weight of size [16, 3, 3, 3], expected input[1, 4, 1024, 1024] to have 3 channels, but got 4 channels instead

File "/hy-tmp/ComfyUI/execution.py", line 151, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "/hy-tmp/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 "/hy-tmp/ComfyUI/execution.py", line 74, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "/hy-tmp/ComfyUI/nodes.py", line 1355, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
File "/hy-tmp/ComfyUI/nodes.py", line 1325, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "/hy-tmp/ComfyUI/custom_nodes/ComfyUI-Impact-Pack/modules/impact/sample_error_enhancer.py", line 22, in informative_sample
raise e
File "/hy-tmp/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 "/hy-tmp/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 "/hy-tmp/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 "/hy-tmp/ComfyUI/comfy/samplers.py", line 696, in sample
return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "/hy-tmp/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 "/hy-tmp/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 "/hy-tmp/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 "/root/miniconda3/envs/test/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/hy-tmp/ComfyUI/comfy/k_diffusion/sampling.py", line 724, in sample_dpmpp_sde_gpu
return sample_dpmpp_sde(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, eta=eta, s_noise=s_noise, noise_sampler=noise_sampler, r=r)
File "/root/miniconda3/envs/test/lib/python3.10/site-packages/torch/utils/contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/hy-tmp/ComfyUI/comfy/k_diffusion/sampling.py", line 542, in sample_dpmpp_sde
denoised = model(x, sigmas[i] * s_in, **extra_args)
File "/hy-tmp/ComfyUI/comfy/samplers.py", line 291, in call
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
File "/hy-tmp/ComfyUI/comfy/samplers.py", line 649, in call
return self.predict_noise(*args, **kwargs)
File "/hy-tmp/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 "/hy-tmp/ComfyUI/comfy/samplers.py", line 277, in sampling_function
out = calc_cond_batch(model, conds, x, timestep, model_options)
File "/hy-tmp/ComfyUI/comfy/samplers.py", line 200, in calc_cond_batch
c['control'] = control.get_control(input_x, timestep, c, len(cond_or_uncond))
File "/hy-tmp/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 "/root/miniconda3/envs/test/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/root/miniconda3/envs/test/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "/hy-tmp/ComfyUI/comfy/cldm/cldm.py", line 290, in forward
guided_hint = self.input_hint_block(hint, emb, context)
File "/root/miniconda3/envs/test/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/root/miniconda3/envs/test/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "/hy-tmp/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py", line 60, in forward
return forward_timestep_embed(self, *args, **kwargs)
File "/hy-tmp/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py", line 50, in forward_timestep_embed
x = layer(x)
File "/root/miniconda3/envs/test/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/root/miniconda3/envs/test/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "/hy-tmp/ComfyUI/comfy/ops.py", line 66, in forward
return super().forward(*args, **kwargs)
File "/root/miniconda3/envs/test/lib/python3.10/site-packages/torch/nn/modules/conv.py", line 460, in forward
return self._conv_forward(input, self.weight, self.bias)
File "/root/miniconda3/envs/test/lib/python3.10/site-packages/torch/nn/modules/conv.py", line 456, in _conv_forward
return F.conv2d(input, weight, bias, self.stride,

[huangjianyi0701]

The above error will be reported when I use batch images, if I manually upload single images it will not produce the above problem.

[ltdrdata]

hmm.. I cannot reproduce that issue.

[mcmonkey4eva]

Something has gone wrong with SD3 vs SDXL latents, the specific reason is hard to identify from only what you've posted

[huangjianyi0701]

Something has gone wrong with SD3 vs SDXL latents, the specific reason is hard to identify from only what you've posted

thans,resolved