Using FooocusInpaint Node to Upscale and DetailerFix error
when i generate image according to the prompt words and doing upscale and detailerifx,it can be run smoothly. But when i add FooocusInpaint node,below message occured:
RuntimeError: The size of tensor a (128) must match the size of tensor b (160) at non-singleton dimension 3
detailed message like this:
Loading 1 new model 0%| | 0/20 [00:00<?, ?it/s] !!! Exception during processing!!! The size of tensor a (128) must match the size of tensor b (160) at non-singleton dimension 3 Traceback (most recent call last): File "D:\ComfyUI\execution.py", line 152, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "D:\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 "D:\ComfyUI\execution.py", line 75, in map_node_over_list results.append(getattr(obj, func)(**slice_dict(input_data_all, i))) File "D:\ComfyUI\custom_nodes\Fooocus_Nodes\py\fooocusNodes.py", line 1324, in doit result_img, result_cropped_enhanced, result_cropped_enhanced_alpha, result_mask, d_pipe, result_cnet_images = cls().doit( File "D:\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_pack.py", line 557, in doit enhanced_img, cropped_enhanced, cropped_enhanced_alpha, mask, cnet_pil_list = FaceDetailer.enhance_face( File "D:\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_pack.py", line 513, in enhance_face DetailerForEach.do_detail(image, segs, model, clip, vae, guide_size, guide_size_for_bbox, max_size, seed, steps, cfg, File "D:\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_pack.py", line 289, in do_detail enhanced_image, cnet_pils = core.enhance_detail(cropped_image, model, clip, vae, guide_size, guide_size_for_bbox, max_size, File "D:\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\core.py", line 338, in enhance_detail refined_latent = impact_sampling.ksampler_wrapper(model2, seed2, steps2, cfg2, sampler_name2, scheduler2, positive2, negative2, File "D:\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_sampling.py", line 217, in ksampler_wrapper refined_latent = separated_sample(model, True, seed, advanced_steps, cfg, sampler_name, scheduler, File "D:\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_sampling.py", line 190, in separated_sample res = sample_with_custom_noise(model, add_noise, seed, cfg, positive, negative, impact_sampler, sigmas, latent_image, noise=noise, callback=callback) File "D:\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_sampling.py", line 143, in sample_with_custom_noise samples = comfy.sample.sample_custom(model, noise, cfg, sampler, sigmas, positive, negative, latent_image, noise_mask=noise_mask, callback=touched_callback, disable_pbar=disable_pbar, seed=noise_seed) File "D:\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 434, in motion_sample return orig_comfy_sample(model, noise, *args, **kwargs) File "D:\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\control_reference.py", line 47, in refcn_sample return orig_comfy_sample(model, *args, **kwargs) File "D:\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\utils.py", line 112, in uncond_multiplier_check_cn_sample return orig_comfy_sample(model, *args, **kwargs) File "D:\ComfyUI\comfy\sample.py", line 48, in sample_custom samples = comfy.samplers.sample(model, noise, positive, negative, cfg, model.load_device, sampler, sigmas, model_options=model.model_options, latent_image=latent_image, denoise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed) File "D:\ComfyUI\comfy\samplers.py", line 729, in sample return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "D:\ComfyUI\comfy\samplers.py", line 716, in sample output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "D:\ComfyUI\comfy\samplers.py", line 695, in inner_sample samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar) File "D:\ComfyUI\comfy\samplers.py", line 600, 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:\Users\28641\AppData\Roaming\Python\Python310\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "D:\ComfyUI\comfy\k_diffusion\sampling.py", line 143, in sample_euler denoised = model(x, sigma_hat * s_in, **extra_args) File "D:\ComfyUI\comfy\samplers.py", line 299, in call out = self.inner_model(x, sigma, model_options=model_options, seed=seed) File "D:\ComfyUI\comfy\samplers.py", line 682, in call return self.predict_noise(*args, **kwargs) File "D:\ComfyUI\comfy\samplers.py", line 685, 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 "D:\ComfyUI\comfy\samplers.py", line 279, in sampling_function out = calc_cond_batch(model, conds, x, timestep, model_options) File "D:\ComfyUI\custom_nodes\ComfyUI-TiledDiffusion.patches.py", line 4, in calc_cond_batch return calc_cond_batch_original_tiled_diffusion_6245e510(model, conds, x_in, timestep, model_options) File "D:\ComfyUI\comfy\samplers.py", line 228, in calc_cond_batch output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks) File "D:\ComfyUI\custom_nodes\Fooocus_Nodes\py\ldm_patched\modules\model_base.py", line 85, in apply_model model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float() File "C:\Users\28641\AppData\Roaming\Python\Python310\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "C:\Users\28641\AppData\Roaming\Python\Python310\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl return forward_call(*args, **kwargs) File "D:\ComfyUI\custom_nodes\Fooocus_Nodes\py\modules\patch.py", line 409, in patched_unet_forward h = p(h, transformer_options) File "D:\ComfyUI\custom_nodes\Fooocus_Nodes\py\modules\inpaint_worker.py", line 212, in input_block_patch h = h + inpaint_head_feature.to(h) RuntimeError: The size of tensor a (128) must match the size of tensor b (160) at non-singleton dimension 3
Prompt executed in 45.67 seconds