Open BoosterCore opened 1 year ago
OK,I find out the problem, comflic with "https://github.com/hustille/ComfyUI_Fooocus_KSampler", disable it ,and ReVision works fine
I got error too, but not the same, because I don't install ComfyUI_Fooocus_KSampler, how to fix it?
Error occurred when executing ArithmeticBlend:
The size of tensor a (3) must match the size of tensor b (6) at non-singleton dimension 0
File "F:\ComfyUI_windows_portable\ComfyUI\execution.py", line 153, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\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 "F:\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 "F:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-post-processing-nodes\post_processing_nodes.py", line 33, in arithmetic_blend_images blended_image = self.subtract(image1, image2) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-post-processing-nodes\post_processing_nodes.py", line 46, in subtract return img1 - img2
好的,我找到了问题所在,与“ https://github.com/hustille/ComfyUI_Fooocus_KSampler ”进行通信,禁用它,ReVision 工作正常
天哪 我i和你的问题一样怎么解决? 如何禁用
`Error occurred when executing KSampler:
The size of tensor a (8) must match the size of tensor b (2) at non-singleton dimension 0
File "D:\ComfyUI_windows_portable\ComfyUI\execution.py", line 151, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "D:\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 "D:\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 "D:\ComfyUI_windows_portable\ComfyUI\nodes.py", line 1206, in sample return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) File "D:\ComfyUI_windows_portable\ComfyUI\nodes.py", line 1176, 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\hacky.py", line 22, in informative_sample raise e File "D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\hacky.py", line 9, in informative_sample return original_sample(*args, *kwargs) File "D:\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 "D:\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 733, in sample samples = getattr(k_diffusionsampling, "sample{}".format(self.sampler))(self.model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar) 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 707, 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 "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 539, in sample_dpmpp_sde denoised = model(x, sigmas[i] * s_in, *extra_args) File "D:\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(args, kwargs) File "D:\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 "D:\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, kwargs) File "D:\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 "D:\ComfyUI_windows_portable\ComfyUI\comfy\k_diffusion\external.py", line 151, in get_eps return self.inner_model.apply_model(args, kwargs) File "D:\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 "D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_Fooocus_KSampler\sampler\Fooocus\patch.py", line 296, in sampling_function_patched cond, uncond = calc_cond_uncond_batch(model_function, cond, uncond, x, timestep, max_total_area, cond_concat, File "D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_Fooocus_KSampler\sampler\Fooocus\patch.py", line 266, in calc_cond_uncond_batch output = model_function(inputx, timestep, *c).chunk(batch_chunks) File "D:\ComfyUI_windows_portable\ComfyUI\comfy\model_base.py", line 61, in apply_model return self.diffusion_model(xc, t, context=context, y=c_adm, control=control, transformer_options=transformer_options).float() File "D:\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(args, *kwargs) File "D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_Fooocus_KSampler\sampler\Fooocus\patch.py", line 354, in unet_forward_patched x0 = x0 uc_mask + degraded_x0 * (1.0 - uc_mask)`