ComfyUI
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Published
20 hours ago •
comfyanonymous
comfyanonymous
KSampler Allocation on device
Custom Node Testing
- [x] I have tried disabling custom nodes and the issue persists (see how to disable custom nodes if you need help)
Your question
Hello, I'm facing this problem, it started today when I try to generate an image, this error appears, and I had already generated about 10 images, can anyone help?
Configuration of my PC 3050 8GB Ryzen 5 4500G 16Gb Ram
Logs
# Relatório de erro do ComfyUI
## Detalhes do erro
- **ID do nó:** 26
- **Tipo de nó:** KSampler
- **Tipo de exceção:** torch.OutOfMemoryError
- **Mensagem de exceção:** Alocação no dispositivo
## Rastreamento de pilha
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", linha 349, em execute
dados_de_saída, interface_de_saída, tem_subgráfico = obter_dados_de_saída(obj, dados_de_entrada_todos, bloco_de_execução_cb=bloco_de_execução_cb, pré_execução_cb=pré_execução_cb)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", linha 224, em get_output_data
return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", linha 196, em _map_node_over_list
process_inputs(dicionário_de_entrada, i)
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", linha 185, em process_inputs
resultados.append(getattr(obj, func)(**entradas))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\nodes.py", linha 1516, no exemplo
retornar common_ksampler(modelo, semente, etapas, cfg, nome_do_amostrador, planejador, positivo, negativo, imagem_latente, denoise=denoise)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\nodes.py", linha 1483, em common_ksampler
samples = comfy.sample.sample(modelo, ruído, etapas, cfg, nome_do_amostrador, planejador, positivo, negativo, imagem_latente,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\sample.py", linha 45, em sample
samples = sampler.sample(ruído, positivo, negativo, cfg=cfg, imagem_latente=imagem_latente, passo_inicial=passo_inicial, último_passo=último_passo, forçar_redução_de_ruído=forçar_redução_de_ruído_completo, máscara_de_redução_de_ruído=máscara_de_ruído, sigmas=sigmas, retorno_de_chamada=retorno_de_chamada, desabilitar_barra_de_p=desabilitar_barra_de_p, semente=semente)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", linha 1139, no exemplo
retornar amostra(self.model, ruído, positivo, negativo, cfg, self.device, amostrador, sigmas, self.model_options, latent_image=latent_image, denoise_mask=denoise_mask, callback=retorno de chamada, disable_pbar=disable_pbar, seed=seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", linha 1029, em exemplo
retornar cfg_guider.sample(ruído, imagem_latente, amostrador, sigmas, máscara_de_ruído, retorno de chamada, desabilitar_pbar, semente)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", linha 1014, em exemplo
saída = executor.execute(ruído, imagem_latente, amostrador, sigmas, máscara_de_ruído, retorno de chamada, desabilita_barra_de_ruído, semente)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\patcher_extension.py", linha 111, em execução
retornar self.original(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", linha 982, em outer_sample
saída = self.inner_sample(ruído, imagem_latente, dispositivo, amostrador, sigmas, máscara_de_ruído, retorno de chamada, desabilita_barra_de_ruído, semente)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", linha 965, em inner_sample
samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\patcher_extension.py", linha 111, em execução
retornar self.original(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", linha 744, em exemplo
samples = self.sampler_function(model_k, ruído, sigmas, argumentos_extras=argumentos_extras, retorno_de_chamada=k_callback, desabilitar=desabilitar_pbar, **self.opções_extras)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", linha 116, em decorate_context
retornar func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\k_diffusion\sampling.py", linha 922, em sample_lcm
denoised = modelo(x, sigmas[i] * s_in, **argumentos_extras)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", linha 396, em __call__
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", linha 945, em __call__
retornar self.predict_noise(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", linha 948, em predict_noise
retornar função_amostragem(self.inner_model, x, timestep, self.conds.get("negativo", Nenhum), self.conds.get("positivo", Nenhum), self.cfg, model_options=model_options, seed=seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", linha 376, em sampling_function
out = calc_cond_batch(modelo, conds, x, passo de tempo, opções_do_modelo)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", linha 206, em calc_cond_batch
retornar executor.execute(modelo, conds, x_in, passo de tempo, opções_do_modelo)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\patcher_extension.py", linha 111, em execução
retornar self.original(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", linha 325, em _calc_cond_batch
saída = modelo.apply_model(input_x, timestep_, **c).chunk(blocos_de_lote)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\model_base.py", linha 148, em apply_model
retornar comfy.patcher_extension.WrapperExecutor.new_class_executor(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\patcher_extension.py", linha 111, em execução
retornar self.original(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\model_base.py", linha 186, em _apply_model
model_output = self.diffusion_model(xc, t, context=contexto, control=controle, transformer_options=opções_do_transformador, **extra_conds).float()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", linha 1751, em _wrapped_call_impl
retornar self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", linha 1762, em _call_impl
retornar forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", linha 831, em diante
retornar comfy.patcher_extension.WrapperExecutor.new_class_executor(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\patcher_extension.py", linha 111, em execução
retornar self.original(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", linha 873, em _forward
h = forward_timestep_embed(módulo, h, emb, contexto, opções_do_transformador, contexto_de_tempo=contexto_de_tempo, núm_quadros_de_vídeo=núm_quadros_de_vídeo, indicador_somente_imagem=indicador_somente_imagem)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", linha 38, em forward_timestep_embed
x = camada(x, emb)
^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", linha 1751, em _wrapped_call_impl
retornar self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", linha 1762, em _call_impl
retornar forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", linha 239, em diante
ponto de verificação de retorno (
^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\diffusionmodules\util.py", linha 191, no ponto de verificação
retornar func(*entradas)
^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", linha 252, em _forward
h = self.in_layers(x)
^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", linha 1751, em _wrapped_call_impl
retornar self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", linha 1762, em _call_impl
retornar forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\container.py", linha 240, em diante
entrada = módulo(entrada)
^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", linha 1751, em _wrapped_call_impl
retornar self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", linha 1762, em _call_impl
retornar forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\ops.py", linha 140, em diante
retornar self.forward_comfy_cast_weights(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\ops.py", linha 136, em forward_comfy_cast_weights
retornar tocha.nn.functional.group_norm(entrada, self.num_groups, peso, viés, self.eps)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\functional.py", linha 2965, em group_norm
retornar tocha.group_norm(
^^^^^^^^^^^^^^^^^
## Informações do sistema
- **Versão do ComfyUI:** 0.3.40
- **Argumentos:** ComfyUI\main.py --windows-standalone-build
- **SO:** nt
- **Versão do Python:** 3.12.10 (tags/v3.12.10:0cc8128, 8 de abril de 2025, 12:21:36) [MSC v.1943 64 bits (AMD64)]
- **Python incorporado:** verdadeiro
- **Versão do PyTorch:** 2.7.1+cu128
## Dispositivos
- **Nome:** cuda:0 NVIDIA GeForce RTX 3050 : cudaMallocAsync
- **Tipo:** cuda
- **Total de VRAM:** 8589410304
- **VRAM grátis:** 7495090176
- **Total de VRAM da tocha:** 33554432
- **Torch VRAM grátis:** 25034752
## Registros
2025-06-08T15:29:11.092211 - [INICIAR] Verificação de segurança2025-06-08T15:29:11.092211 -
2025-06-08T15:29:12.134599 - [CONCLUÍDO] Verificação de segurança2025-06-08T15:29:12.134599 -
2025-06-08T15:29:12.324558 - ## ComfyUI-Manager: instalação de dependências concluída.2025-06-08T15:29:12.324558 -
2025-06-08T15:29:12.324558 - ** Horário de inicialização do ComfyUI:2025-06-08T15:29:12.324558 - 2025-06-08T15:29:12.325580 - 2025-06-08 15:29:12.3242025-06-08T15:29:12.325580 -
2025-06-08T15:29:12.325580 - ** Plataforma:2025-06-08T15:29:12.325580 - 2025-06-08T15:29:12.325580 - Windows2025-06-08T15:29:12.325580 -
2025-06-08T15:29:12.325580 - ** Versão do Python:2025-06-08T15:29:12.325580 - 2025-06-08T15:29:12.325580 - 3.12.10 (tags/v3.12.10:0cc8128, 8 de abril de 2025, 12:21:36) [MSC v.1943 64 bits (AMD64)]2025-06-08T15:29:12.325580 -
2025-06-08T15:29:12.325580 - ** Executável Python:2025-06-08T15:29:12.326574 - 2025-06-08T15:29:12.326574 - C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\python.exe2025-06-08T15:29:12.326574 -
2025-06-08T15:29:12.326574 - ** Caminho ComfyUI:2025-06-08T15:29:12.326574 - 2025-06-08T15:29:12.326574 - C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI2025-06-08T15:29:12.326574 -
2025-06-08T15:29:12.326574 - ** Caminho da pasta base do ComfyUI:2025-06-08T15:29:12.326574 - 2025-06-08T15:29:12.327592 - C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI2025-06-08T15:29:12.327592 -
2025-06-08T15:29:12.327592 - ** Diretório do usuário:2025-06-08T15:29:12.327592 - 2025-06-08T15:29:12.327592 - C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\usuário2025-06-08T15:29:12.327592 -
2025-06-08T15:29:12.327592 - ** Caminho de configuração do ComfyUI-Manager:2025-06-08T15:29:12.327592 - 2025-06-08T15:29:12.327592 - C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\usuário\padrão\ComfyUI-Manager\config.ini2025-06-08T15:29:12.327592 -
2025-06-08T15:29:12.327592 - ** Caminho do log:2025-06-08T15:29:12.327592 - 2025-06-08T15:29:12.328591 - C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\usuário\comfyui.log2025-06-08T15:29:12.328591 -
2025-06-08T15:29:13.273551 -
Tempos de pré-inicialização para nós personalizados:
2025-06-08T15:29:13.273551 - 0,0 segundos: C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\rgthree-comfy
2025-06-08T15:29:13.273551 - 3,2 segundos: C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\comfyui-manager
2025-06-08T15:29:13.273551 -
2025-06-08T15:29:17.813598 - Os arquivos de ponto de verificação sempre serão carregados com segurança.
2025-06-08T15:29:18.014577 - VRAM total 8192 MB, RAM total 16252 MB
2025-06-08T15:29:18.014577 - versão do pytorch: 2.7.1+cu128
2025-06-08T15:29:18.015577 - Definir estado da VRAM como: NORMAL_VRAM
2025-06-08T15:29:18.015577 - Dispositivo: cuda:0 NVIDIA GeForce RTX 3050: cudaMallocAsync
2025-06-08T15:29:20.386056 - Usando a atenção do pytorch
2025-06-08T15:29:23.435911 - Versão Python: 3.12.10 (tags/v3.12.10:0cc8128, 8 de abril de 2025, 12:21:36) [MSC v.1943 64 bits (AMD64)]
2025-06-08T15:29:23.435911 - Versão do ComfyUI: 0.3.40
2025-06-08T15:29:23.463134 - Versão do frontend ComfyUI: 1.21.7
2025-06-08T15:29:23.466508 - [Servidor de prompt] raiz da web: C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\comfyui_frontend_package\static
2025-06-08T15:29:24.677121 - ### Carregando: ComfyUI-Manager (V3.32.8)
2025-06-08T15:29:24.678120 - [ComfyUI-Manager] modo de rede: público
2025-06-08T15:29:24.775896 - ### Revisão ComfyUI: 150 [866f6cda] *DESTACADO | Lançado em '04/06/2025'
2025-06-08T15:29:24.903820 - Cache padrão [ComfyUI-Manager] atualizado: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
2025-06-08T15:29:24.903820 - Cache padrão [ComfyUI-Manager] atualizado: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
2025-06-08T15:29:24.947613 - Cache padrão do [ComfyUI-Manager] atualizado: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
2025-06-08T15:29:25.011742 - Cache padrão [ComfyUI-Manager] atualizado: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
2025-06-08T15:29:25.049595 - Cache padrão [ComfyUI-Manager] atualizado: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
2025-06-08T15:29:25.275927 -
2025-06-08T15:29:25.275927 - [92m[rgthree-comfy] Carregou 47 nós interessantes. 🎉 [0m2025-06-08T15:29:25.275927 -
2025-06-08T15:29:25.275927 -
2025-06-08T15:29:25.275927 -
Tempos de importação para nós personalizados:
2025-06-08T15:29:25.275927 - 0,0 segundos: C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\websocket_image_save.py
2025-06-08T15:29:25.275927 - 0,1 segundos: C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\comfyui-manager
2025-06-08T15:29:25.275927 - 0,5 segundos: C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\rgthree-comfy
2025-06-08T15:29:25.275927 -
2025-06-08T15:29:25.298739 - Iniciando servidor
2025-06-08T15:29:31.246924 - recebi um prompt
2025-06-08T15:29:31.964604 - peso do modelo dtype torch.float16, fundição manual: Nenhum
2025-06-08T15:29:31.969497 - tipo de modelo EPS
2025-06-08T15:29:37.382268 - Usando a atenção do pytorch no VAE
2025-06-08T15:29:37.384269 - Usando a atenção do pytorch no VAE
2025-06-08T15:29:37.810236 - Dispositivo de carga VAE: cuda:0, dispositivo de descarga: cpu, dtype: torch.bfloat16
2025-06-08T15:29:38.130460 - Solicitado para carregar SDXLClipModel
2025-06-08T15:29:38.149098 - carregado completamente 9.5367431640625e+25 1560.802734375 Verdadeiro
2025-06-08T15:29:38.156210 - Dispositivo de carga do modelo do codificador CLIP/texto: cuda:0, dispositivo de descarregamento: cpu, corrente: cuda:0, tipo de d: torch.float16
2025-06-08T15:29:43.561057 - Solicitado para carregar SDXLClipModel
2025-06-08T15:29:44.719872 - carregado completamente 5764.8 1560.802734375 Verdadeiro
2025-06-08T15:29:45.231472 - O comprimento da sequência de índices de token é maior que o comprimento máximo de sequência especificado para este modelo (120 > 77). Executar esta sequência no modelo resultará em erros de indexação.
2025-06-08T15:29:45.235345 - O comprimento da sequência de índices de token é maior que o comprimento máximo de sequência especificado para este modelo (120 > 77). Executar esta sequência no modelo resultará em erros de indexação.
2025-06-08T15:29:45.584054 - Solicitado para carregar SDXL
2025-06-08T15:29:46.155462 - 0 modelos descarregados.
2025-06-08T15:29:46.287798 - carregado parcialmente 128.0 127.99988555908203 784
2025-06-08T15:29:46.465888 - 0%| | 0/10 [00:00<?, ?it/s]2025-06-08T15:29:46.483300 - Não é possível conectar ao comfyregistry.2025-06-08T15:29:46.483300 -
2025-06-08T15:29:46.490864 - OBTER DADOS de: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json2025-06-08T15:29:46.491642 - 2025-06-08T15:29:46.676999 - [CONCLUÍDO]2025-06-08T15:29:46.676999 -
2025-06-08T15:29:46.760266 - [ComfyUI-Manager] Todas as tarefas de inicialização foram concluídas.
2025-06-08T15:29:47.359220 - 0%| | 0/10 [00:00<?, ?it/s]2025-06-08T15:29:47.359220 -
2025-06-08T15:29:47.378195 - !!! Exceção durante o processamento !!! Alocação no dispositivo
2025-06-08T15:29:47.390548 - Rastreamento (última chamada mais recente):
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", linha 349, em execute
dados_de_saída, interface_de_saída, tem_subgráfico = obter_dados_de_saída(obj, dados_de_entrada_todos, bloco_de_execução_cb=bloco_de_execução_cb, pré_execução_cb=pré_execução_cb)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", linha 224, em get_output_data
return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", linha 196, em _map_node_over_list
process_inputs(dicionário_de_entrada, i)
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", linha 185, em process_inputs
resultados.append(getattr(obj, func)(**entradas))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\nodes.py", linha 1516, no exemplo
retornar common_ksampler(modelo, semente, etapas, cfg, nome_do_amostrador, planejador, positivo, negativo, imagem_latente, denoise=denoise)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\nodes.py", linha 1483, em common_ksampler
samples = comfy.sample.sample(modelo, ruído, etapas, cfg, nome_do_amostrador, planejador, positivo, negativo, imagem_latente,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\sample.py", linha 45, em sample
samples = sampler.sample(ruído, positivo, negativo, cfg=cfg, imagem_latente=imagem_latente, passo_inicial=passo_inicial, último_passo=último_passo, forçar_redução_de_ruído=forçar_redução_de_ruído_completo, máscara_de_redução_de_ruído=máscara_de_ruído, sigmas=sigmas, retorno_de_chamada=retorno_de_chamada, desabilitar_barra_de_p=desabilitar_barra_de_p, semente=semente)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", linha 1139, no exemplo
retornar amostra(self.model, ruído, positivo, negativo, cfg, self.device, amostrador, sigmas, self.model_options, latent_image=latent_image, denoise_mask=denoise_mask, callback=retorno de chamada, disable_pbar=disable_pbar, seed=seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", linha 1029, em exemplo
retornar cfg_guider.sample(ruído, imagem_latente, amostrador, sigmas, máscara_de_ruído, retorno de chamada, desabilitar_pbar, semente)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", linha 1014, em exemplo
saída = executor.execute(ruído, imagem_latente, amostrador, sigmas, máscara_de_ruído, retorno de chamada, desabilita_barra_de_ruído, semente)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\patcher_extension.py", linha 111, em execução
retornar self.original(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", linha 982, em outer_sample
saída = self.inner_sample(ruído, imagem_latente, dispositivo, amostrador, sigmas, máscara_de_ruído, retorno de chamada, desabilita_barra_de_ruído, semente)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", linha 965, em inner_sample
samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\patcher_extension.py", linha 111, em execução
retornar self.original(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", linha 744, em exemplo
samples = self.sampler_function(model_k, ruído, sigmas, argumentos_extras=argumentos_extras, retorno_de_chamada=k_callback, desabilitar=desabilitar_pbar, **self.opções_extras)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", linha 116, em decorate_context
retornar func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\k_diffusion\sampling.py", linha 922, em sample_lcm
denoised = modelo(x, sigmas[i] * s_in, **argumentos_extras)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", linha 396, em __call__
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", linha 945, em __call__
retornar self.predict_noise(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", linha 948, em predict_noise
retornar função_amostragem(self.inner_model, x, timestep, self.conds.get("negativo", Nenhum), self.conds.get("positivo", Nenhum), self.cfg, model_options=model_options, seed=seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", linha 376, em sampling_function
out = calc_cond_batch(modelo, conds, x, passo de tempo, opções_do_modelo)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", linha 206, em calc_cond_batch
retornar executor.execute(modelo, conds, x_in, passo de tempo, opções_do_modelo)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\patcher_extension.py", linha 111, em execução
retornar self.original(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", linha 325, em _calc_cond_batch
saída = modelo.apply_model(input_x, timestep_, **c).chunk(blocos_de_lote)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\model_base.py", linha 148, em apply_model
retornar comfy.patcher_extension.WrapperExecutor.new_class_executor(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\patcher_extension.py", linha 111, em execução
retornar self.original(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\model_base.py", linha 186, em _apply_model
model_output = self.diffusion_model(xc, t, context=contexto, control=controle, transformer_options=opções_do_transformador, **extra_conds).float()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", linha 1751, em _wrapped_call_impl
retornar self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", linha 1762, em _call_impl
retornar forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", linha 831, em diante
retornar comfy.patcher_extension.WrapperExecutor.new_class_executor(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\patcher_extension.py", linha 111, em execução
retornar self.original(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", linha 873, em _forward
h = forward_timestep_embed(módulo, h, emb, contexto, opções_do_transformador, contexto_de_tempo=contexto_de_tempo, núm_quadros_de_vídeo=núm_quadros_de_vídeo, indicador_somente_imagem=indicador_somente_imagem)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", linha 38, em forward_timestep_embed
x = camada(x, emb)
^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", linha 1751, em _wrapped_call_impl
retornar self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", linha 1762, em _call_impl
retornar forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", linha 239, em diante
ponto de verificação de retorno (
^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\diffusionmodules\util.py", linha 191, no ponto de verificação
retornar func(*entradas)
^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", linha 252, em _forward
h = self.in_layers(x)
^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", linha 1751, em _wrapped_call_impl
retornar self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", linha 1762, em _call_impl
retornar forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\container.py", linha 240, em diante
entrada = módulo(entrada)
^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", linha 1751, em _wrapped_call_impl
retornar self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", linha 1762, em _call_impl
retornar forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\ops.py", linha 140, em diante
retornar self.forward_comfy_cast_weights(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\ops.py", linha 136, em forward_comfy_cast_weights
retornar tocha.nn.functional.group_norm(entrada, self.num_groups, peso, viés, self.eps)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Arquivo "C:\Usuários\tom48\Downloads\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\functional.py", linha 2965, em group_norm
retornar tocha.group_norm(
^^^^^^^^^^^^^^^^^
torch.OutOfMemoryError: Alocação no dispositivo
2025-06-08T15:29:47.394542 - Recebi um OOM, descarregando todos os modelos carregados.
2025-06-08T15:29:47.634426 - Prompt executado em 16,39 segundos
## Fluxo de trabalho em anexo
Certifique-se de que o fluxo de trabalho não contenha nenhuma informação confidencial, como chaves de API ou senhas.
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Other
No response
