Open el2064 opened 2 months ago
Error occurred when executing KSamplerAdvanced:
'transformer_index'
File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\execution.py", line 152, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\execution.py", line 82, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\execution.py", line 75, in map_node_over_list results.append(getattr(obj, func)(slice_dict(input_data_all, i))) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\nodes.py", line 1416, in sample return common_ksampler(model, noise_seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise, disable_noise=disable_noise, start_step=start_at_step, last_step=end_at_step, force_full_denoise=force_full_denoise) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\nodes.py", line 1352, in common_ksampler samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\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 "G:\ComfyUI-aki\ComfyUI-aki-v1.2\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 241, in motion_sample return orig_comfy_sample(model, noise, args, kwargs) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\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 "G:\ComfyUI-aki\ComfyUI-aki-v1.2\comfy\samplers.py", line 829, 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 "G:\ComfyUI-aki\ComfyUI-aki-v1.2\comfy\samplers.py", line 729, in sample return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\comfy\samplers.py", line 716, in sample output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\comfy\samplers.py", line 695, in inner_sample samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\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 "G:\ComfyUI-aki\ComfyUI-aki-v1.2\python\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, *kwargs) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\comfy\k_diffusion\sampling.py", line 600, in sample_dpmpp_2m denoised = model(x, sigmas[i] s_in, extra_args) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\comfy\samplers.py", line 299, in call out = self.inner_model(x, sigma, model_options=model_options, seed=seed) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\comfy\samplers.py", line 682, in call return self.predict_noise(*args, kwargs) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\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 "G:\ComfyUI-aki\ComfyUI-aki-v1.2\comfy\samplers.py", line 279, in sampling_function out = calc_cond_batch(model, conds, x, timestep, model_options) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\custom_nodes\ComfyUI-TiledDiffusion.patches.py", line 4, in calc_cond_batch return calc_cond_batch_original_tiled_diffusion_da5d956f(model, conds, x_in, timestep, model_options) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\comfy\samplers.py", line 228, in calc_cond_batch output = model.apply_model(inputx, timestep, c).chunk(batch_chunks) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\comfy\model_base.py", line 123, in apply_model model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, extra_conds).float() File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, *kwargs) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(args, kwargs) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\custom_nodes\FreeU_Advanced\nodes.py", line 173, in tempforward h = forward_timestep_embed(module, h, emb, context, transformer_options) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 44, in forward_timestep_embed x = layer(x, context, transformer_options) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, kwargs) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, *kwargs) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\comfy\ldm\modules\attention.py", line 694, in forward x = block(x, context=context[i], transformer_options=transformer_options) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(args, kwargs) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, kwargs) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\custom_nodes\ComfyUI-Easy-Use\py\layer_diffuse\attension_sharing.py", line 253, in forward return func(self, x, context, transformer_options) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\comfy\ldm\modules\attention.py", line 618, in forward n = attn2_replace_patch[block_attn2](n, context_attn2, value_attn2, extra_options) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\custom_nodes\ComfyUI_InstantID\CrossAttentionPatch.py", line 26, in call out = out + callback(out, q, k, v, extra_options, self.kwargs[i]) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\custom_nodes\ComfyUI_InstantID\CrossAttentionPatch.py", line 35, in instantid_attention t_idx = extra_options["transformer_index"]
Error occurred when executing KSamplerAdvanced:
'transformer_index'
File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\execution.py", line 152, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\execution.py", line 82, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\execution.py", line 75, in map_node_over_list results.append(getattr(obj, func)(slice_dict(input_data_all, i))) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\nodes.py", line 1416, in sample return common_ksampler(model, noise_seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise, disable_noise=disable_noise, start_step=start_at_step, last_step=end_at_step, force_full_denoise=force_full_denoise) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\nodes.py", line 1352, in common_ksampler samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\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 "G:\ComfyUI-aki\ComfyUI-aki-v1.2\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 241, in motion_sample return orig_comfy_sample(model, noise, args, kwargs) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\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 "G:\ComfyUI-aki\ComfyUI-aki-v1.2\comfy\samplers.py", line 829, 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 "G:\ComfyUI-aki\ComfyUI-aki-v1.2\comfy\samplers.py", line 729, in sample return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\comfy\samplers.py", line 716, in sample output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\comfy\samplers.py", line 695, in inner_sample samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\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 "G:\ComfyUI-aki\ComfyUI-aki-v1.2\python\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, *kwargs) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\comfy\k_diffusion\sampling.py", line 600, in sample_dpmpp_2m denoised = model(x, sigmas[i] s_in, extra_args) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\comfy\samplers.py", line 299, in call out = self.inner_model(x, sigma, model_options=model_options, seed=seed) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\comfy\samplers.py", line 682, in call return self.predict_noise(*args, kwargs) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\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 "G:\ComfyUI-aki\ComfyUI-aki-v1.2\comfy\samplers.py", line 279, in sampling_function out = calc_cond_batch(model, conds, x, timestep, model_options) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\custom_nodes\ComfyUI-TiledDiffusion.patches.py", line 4, in calc_cond_batch return calc_cond_batch_original_tiled_diffusion_da5d956f(model, conds, x_in, timestep, model_options) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\comfy\samplers.py", line 228, in calc_cond_batch output = model.apply_model(inputx, timestep, c).chunk(batch_chunks) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\comfy\model_base.py", line 123, in apply_model model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, extra_conds).float() File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, *kwargs) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(args, kwargs) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\custom_nodes\FreeU_Advanced\nodes.py", line 173, in tempforward h = forward_timestep_embed(module, h, emb, context, transformer_options) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 44, in forward_timestep_embed x = layer(x, context, transformer_options) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, kwargs) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, *kwargs) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\comfy\ldm\modules\attention.py", line 694, in forward x = block(x, context=context[i], transformer_options=transformer_options) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(args, kwargs) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, kwargs) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\custom_nodes\ComfyUI-Easy-Use\py\layer_diffuse\attension_sharing.py", line 253, in forward return func(self, x, context, transformer_options) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\comfy\ldm\modules\attention.py", line 618, in forward n = attn2_replace_patch[block_attn2](n, context_attn2, value_attn2, extra_options) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\custom_nodes\ComfyUI_InstantID\CrossAttentionPatch.py", line 26, in call out = out + callback(out, q, k, v, extra_options, self.kwargs[i]) File "G:\ComfyUI-aki\ComfyUI-aki-v1.2\custom_nodes\ComfyUI_InstantID\CrossAttentionPatch.py", line 35, in instantid_attention t_idx = extra_options["transformer_index"]