TokiToki Internal
Atlas + S3
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ErrorComfyUI

f4d547e8-2b36-43d5-8e79-f8fc9f773fb0

Queued
Aug 24, 2026, 07:03 PM
Completed
Aug 24, 2026, 07:03 PM
Execution time
27.7s
Outputs
0 · 0 B
Inputs
3
Cached nodes
17

Failure

torch.OutOfMemoryErrorin SamplerCustomAdvanced (node 125)

Allocation on device 0 would exceed allowed memory. (out of memory) Currently allocated : 41.34 GiB Requested : 11.93 GiB Device limit : 44.39 GiB Free (according to CUDA): 11.31 MiB PyTorch limit (set by user-supplied memory fraction) : 17179869184.00 GiB This error means you ran out of memory on your GPU. TIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.

Stack trace
  File "/home/ec2-user/ComfyUI-031/execution.py", line 545, in execute
    output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)
                                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/execution.py", line 344, in get_output_data
    return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/execution.py", line 318, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "/home/ec2-user/ComfyUI-031/execution.py", line 306, in process_inputs
    result = f(**inputs)
             ^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/comfy_api/internal/__init__.py", line 149, in wrapped_func
    return method(locked_class, **inputs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/comfy_api/latest/_io.py", line 1990, in EXECUTE_NORMALIZED
    to_return = cls.execute(*args, **kwargs)
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/comfy_extras/nodes_custom_sampler.py", line 1049, in execute
    samples = guider.sample(noise.generate_noise(latent), latent_image, sampler, sigmas, denoise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=noise.seed)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/comfy/samplers.py", line 1335, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/comfy/patcher_extension.py", line 113, in execute
    return self.original(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/comfy/samplers.py", line 1262, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/comfy/samplers.py", line 1237, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/comfy/patcher_extension.py", line 113, in execute
    return self.original(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/comfy/samplers.py", line 1005, in sample
    samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/venv/lib64/python3.12/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/comfy/k_diffusion/sampling.py", line 1460, in sample_res_multistep
    return res_multistep(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, s_noise=s_noise, noise_sampler=noise_sampler, eta=0., cfg_pp=False)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/venv/lib64/python3.12/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/comfy/k_diffusion/sampling.py", line 1418, in res_multistep
    denoised = model(x, sigmas[i] * s_in, **extra_args)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/comfy/samplers.py", line 640, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/comfy/samplers.py", line 1208, in __call__
    return self.outer_predict_noise(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/comfy/samplers.py", line 1215, in outer_predict_noise
    ).execute(x, timestep, model_options, seed)
      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/comfy/patcher_extension.py", line 113, in execute
    return self.original(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/comfy/samplers.py", line 1218, 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 "/home/ec2-user/ComfyUI-031/comfy/samplers.py", line 620, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/comfy/samplers.py", line 211, in calc_cond_batch
    return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/comfy/samplers.py", line 219, in _calc_cond_batch_outer
    return executor.execute(model, conds, x_in, timestep, model_options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/comfy/patcher_extension.py", line 113, in execute
    return self.original(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/comfy/samplers.py", line 335, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/comfy/model_base.py", line 203, in apply_model
    return comfy.patcher_extension.WrapperExecutor.new_class_executor(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/comfy/patcher_extension.py", line 113, in execute
    return self.original(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/comfy/model_base.py", line 247, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/venv/lib64/python3.12/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/venv/lib64/python3.12/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl
    return forward_call(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/comfy/ldm/minimax/model.py", line 501, in forward
    out = comfy.patcher_extension.WrapperExecutor.new_class_executor(
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/comfy/patcher_extension.py", line 113, in execute
    return self.original(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/comfy/ldm/minimax/model.py", line 637, in _forward
    h = block(h, t_emb, mod_segments, rope_freqs, transformer_options=transformer_options)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/venv/lib64/python3.12/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/venv/lib64/python3.12/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl
    return forward_call(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/comfy/ldm/minimax/model.py", line 260, in forward
    x = _mod_gate(x, gate_msa, self.attn(h, rope_freqs=rope_freqs, transformer_options=transformer_options), mod_segments)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/venv/lib64/python3.12/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/venv/lib64/python3.12/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl
    return forward_call(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/comfy/ldm/minimax/model.py", line 148, in forward
    q, k, v = self.qkv_proj(x).split(self.heads * self.head_dim, dim=-1)
              ^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/venv/lib64/python3.12/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/venv/lib64/python3.12/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl
    return forward_call(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/comfy/ops.py", line 1427, in forward
    input = QuantizedTensor.from_float(input_reshaped, self.layout_type, scale=scale)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/venv/lib64/python3.12/site-packages/comfy_kitchen/tensor/base.py", line 239, in from_float
    qdata, params = get_layout_class(layout_cls).quantize(tensor, **kwargs)
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/comfy/quant_ops.py", line 143, in quantize
    qdata = ck.quantize_per_tensor_fp8(tensor, scale, cls.FP8_DTYPE)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/venv/lib64/python3.12/site-packages/comfy_kitchen/__init__.py", line 238, in quantize_per_tensor_fp8
    return torch.ops.comfy_kitchen.quantize_fp8(x, scale, dtype_code)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/venv/lib64/python3.12/site-packages/torch/_ops.py", line 1279, in __call__
    return self._op(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/venv/lib64/python3.12/site-packages/torch/_library/custom_ops.py", line 441, in backend_impl
    result = self._backend_fns[device_type](*args, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/venv/lib64/python3.12/site-packages/torch/_compile.py", line 54, in inner
    return disable_fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/venv/lib64/python3.12/site-packages/torch/_dynamo/eval_frame.py", line 1446, in _fn
    return fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/venv/lib64/python3.12/site-packages/torch/_library/custom_ops.py", line 502, in wrapped_fn
    return fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/venv/lib64/python3.12/site-packages/comfy_kitchen/backends/eager/quantization.py", line 433, in _op_quantize_fp8
    return impl(**kwargs)
           ^^^^^^^^^^^^^^
  File "/home/ec2-user/ComfyUI-031/venv/lib64/python3.12/site-packages/comfy_kitchen/backends/eager/quantization.py", line 56, in quantize_per_tensor_fp8
    temp = x * (1.0 / scale).to(x.dtype)
           ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~

Outputs

0

The run failed before producing any output.

Text prompts

5
Promptnode 138 · PrimitiveStringMultiline · valueInput Text (Prompt)

A continuous 10-second cinematic shot starting on an over-the-shoulder medium-shot view of an unnamed visitor in a dark jacket walking down a theater hallway <Picture 1>. From 0.0s to 4.0s, the camera executes a smooth handheld-smooth tracking shot (FOV 47°, no drift) following behind the visitor's shoulder as they walk at a steady pace over deep red patterned carpet under warm 2800K brass sconces and crystal chandeliers, with the wooden door filling more of the frame. From 4.0s to 5.5s, the visitor's hand reaches the brass handle, turning it as the heavy wooden door swings open into a warm wood-paneled office <Picture 2>. From 5.5s to 10.0s, warm 2800K desk-lamp key light spills across the threshold as the visitor steps inside; the visitor's face remains strictly hidden throughout. In the interior, the adult male <Picture 3> seated at the desk hears the entrance, shifts from focused concentration on a storyboard to warm recognition, naturally lifting his head and turning toward the doorway while maintaining exact face, hair, and wardrobe consistency with <Picture 3>. Photoreal, fine film grain, rich vintage color grade with deep near-black shadows and a subtle background teal shelf accent glow

4 other text fields— sigmas, filenames, and other non-prompt strings the logger swept up

node 115 · ResolutionSelector · aspect_ratio

16:9 (Widescreen)

node 131 · ComfyMathExpression · expression

max(5, round(a * 24)) + (5 - (max(5, round(a * 24)) % 17)) % 17

node 137 · LoadImage · image

ChatGPT Image Aug 24, 2026, 07_53_49 PM.png

node 200 · LoadImage · image

ChatGPT Image Aug 24, 2026, 07_53_41 PM.png

Input media

3

Source images and video this run consumed.

ChatGPT Image Aug 24, 2026, 07_53_49 PM.png

node 137 · 1.9 MB

character_ref_00128_.png

node 139 · 1.5 MB

ChatGPT Image Aug 24, 2026, 07_53_41 PM.png

node 200 · 2.4 MB