$ python3 main.py --listen 0.0.0.0
setup plugin alembic.autogenerate.schemas
setup plugin alembic.autogenerate.tables
setup plugin alembic.autogenerate.types
setup plugin alembic.autogenerate.constraints
setup plugin alembic.autogenerate.defaults
setup plugin alembic.autogenerate.comments
WARNING: You need pytorch with cu130 or higher to use optimized CUDA operations.
Found comfy_kitchen backend cuda: {'available': True, 'disabled': True, 'unavailable_reason': None, 'capabilities': ['apply_rope', 'apply_rope1', 'dequantize_nvfp4', 'dequantize_per_tensor_fp8', 'quantize_mxfp8', 'quantize_nvfp4', 'quantize_per_tensor_fp8', 'scaled_mm_nvfp4']}
Found comfy_kitchen backend eager: {'available': True, 'disabled': False, 'unavailable_reason': None, 'capabilities': ['apply_rope', 'apply_rope1', 'dequantize_mxfp8', 'dequantize_nvfp4', 'dequantize_per_tensor_fp8', 'quantize_mxfp8', 'quantize_nvfp4', 'quantize_per_tensor_fp8', 'scaled_mm_mxfp8', 'scaled_mm_nvfp4']}
Found comfy_kitchen backend triton: {'available': True, 'disabled': True, 'unavailable_reason': None, 'capabilities': ['apply_rope', 'apply_rope1', 'dequantize_nvfp4', 'dequantize_per_tensor_fp8', 'quantize_mxfp8', 'quantize_nvfp4', 'quantize_per_tensor_fp8']}
Checkpoint files will always be loaded safely.
Total VRAM 11165 MB, total RAM 31755 MB
pytorch version: 2.7.1+cu118
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce GTX 1080 Ti : cudaMallocAsync
Using async weight offloading with 2 streams
Enabled pinned memory 28579.0
Using pytorch attention
Unsupported Pytorch detected. DynamicVRAM support requires Pytorch version 2.8 or later. Falling back to legacy ModelPatcher. VRAM estimates may be unreliable especially on Windows
Python version: 3.10.12 (main, Mar 3 2026, 11:56:32) [GCC 11.4.0]
ComfyUI version: 0.21.1
comfy-aimdo version: 0.3.0
comfy-kitchen version: 0.2.8
comfyui-frontend-package version: 1.43.18
comfyui-workflow-templates version: 0.9.77
comfyui-embedded-docs version: 0.5.0
comfy-kitchen version: 0.2.8
comfy-aimdo version: 0.3.0
[Prompt Server] web root: /home/minimonk/.local/lib/python3.10/site-packages/comfyui_frontend_package/static
Asset seeder disabled
Import times for custom nodes:
0.0 seconds: /mnt/Downloads/ComfyUI/custom_nodes/websocket_image_save.py
Context impl SQLiteImpl.
Will assume non-transactional DDL.
Starting server
To see the GUI go to: http://0.0.0.0:8188
got prompt
Using pytorch attention in VAE
Using pytorch attention in VAE
VAE load device: cuda:0, offload device: cpu, dtype: torch.float32
Found quantization metadata version 1
Using MixedPrecisionOps for text encoder
Requested to load WanTEModel
loaded completely; 6419.48 MB loaded, full load: True
CLIP/text encoder model load device: cpu, offload device: cpu, current: cpu, dtype: torch.float16
Requested to load WanVAE
0 models unloaded.
loaded partially; 0.00 MB usable, 0.00 MB loaded, 484.00 MB offloaded, 45.57 MB buffer reserved, lowvram patches: 0
Found quantization metadata version 1
Detected mixed precision quantization
Using mixed precision operations
Native ops: , emulated ops: mxfp8, float8_e4m3fn, float8_e5m2, nvfp4
model weight dtype torch.float16, manual cast: torch.float32
model_type FLOW
Requested to load WAN21
0 models unloaded.
loaded partially; 0.00 MB usable, 0.00 MB loaded, 13636.09 MB offloaded, 885.22 MB buffer reserved, lowvram patches: 0
0%| | 0/10 [00:33<?, ?it/s]
!!! Exception during processing !!! Allocation on device
Traceback (most recent call last):
File "/mnt/Downloads/ComfyUI/execution.py", line 535, 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 "/mnt/Downloads/ComfyUI/execution.py", line 335, 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 "/mnt/Downloads/ComfyUI/execution.py", line 309, in _async_map_node_over_list
await process_inputs(input_dict, i)
File "/mnt/Downloads/ComfyUI/execution.py", line 297, in process_inputs
result = f(**inputs)
File "/mnt/Downloads/ComfyUI/nodes.py", line 1612, 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 "/mnt/Downloads/ComfyUI/nodes.py", line 1542, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "/mnt/Downloads/ComfyUI/comfy/sample.py", line 74, 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 "/mnt/Downloads/ComfyUI/comfy/samplers.py", line 1180, 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 "/mnt/Downloads/ComfyUI/comfy/samplers.py", line 1070, in sample
return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "/mnt/Downloads/ComfyUI/comfy/samplers.py", line 1052, in sample
output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
File "/mnt/Downloads/ComfyUI/comfy/patcher_extension.py", line 112, in execute
return self.original(*args, **kwargs)
File "/mnt/Downloads/ComfyUI/comfy/samplers.py", line 995, in outer_sample
output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
File "/mnt/Downloads/ComfyUI/comfy/samplers.py", line 981, in inner_sample
samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
File "/mnt/Downloads/ComfyUI/comfy/patcher_extension.py", line 112, in execute
return self.original(*args, **kwargs)
File "/mnt/Downloads/ComfyUI/comfy/samplers.py", line 751, 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/minimonk/.local/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
File "/mnt/Downloads/ComfyUI/comfy/k_diffusion/sampling.py", line 205, in sample_euler
denoised = model(x, sigma_hat * s_in, **extra_args)
File "/mnt/Downloads/ComfyUI/comfy/samplers.py", line 400, in __call__
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
File "/mnt/Downloads/ComfyUI/comfy/samplers.py", line 954, in __call__
return self.outer_predict_noise(*args, **kwargs)
File "/mnt/Downloads/ComfyUI/comfy/samplers.py", line 961, in outer_predict_noise
).execute(x, timestep, model_options, seed)
File "/mnt/Downloads/ComfyUI/comfy/patcher_extension.py", line 112, in execute
return self.original(*args, **kwargs)
File "/mnt/Downloads/ComfyUI/comfy/samplers.py", line 964, 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 "/mnt/Downloads/ComfyUI/comfy/samplers.py", line 380, in sampling_function
out = calc_cond_batch(model, conds, x, timestep, model_options)
File "/mnt/Downloads/ComfyUI/comfy/samplers.py", line 205, in calc_cond_batch
return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
File "/mnt/Downloads/ComfyUI/comfy/samplers.py", line 213, in _calc_cond_batch_outer
return executor.execute(model, conds, x_in, timestep, model_options)
File "/mnt/Downloads/ComfyUI/comfy/patcher_extension.py", line 112, in execute
return self.original(*args, **kwargs)
File "/mnt/Downloads/ComfyUI/comfy/samplers.py", line 325, in _calc_cond_batch
output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
File "/mnt/Downloads/ComfyUI/comfy/model_base.py", line 182, in apply_model
return comfy.patcher_extension.WrapperExecutor.new_class_executor(
File "/mnt/Downloads/ComfyUI/comfy/patcher_extension.py", line 112, in execute
return self.original(*args, **kwargs)
File "/mnt/Downloads/ComfyUI/comfy/model_base.py", line 226, in _apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)
File "/home/minimonk/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/minimonk/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl
return forward_call(*args, **kwargs)
File "/mnt/Downloads/ComfyUI/comfy/ldm/wan/model.py", line 644, in forward
return comfy.patcher_extension.WrapperExecutor.new_class_executor(
File "/mnt/Downloads/ComfyUI/comfy/patcher_extension.py", line 112, in execute
return self.original(*args, **kwargs)
File "/mnt/Downloads/ComfyUI/comfy/ldm/wan/model.py", line 664, in _forward
return self.forward_orig(x, timestep, context, clip_fea=clip_fea, freqs=freqs, transformer_options=transformer_options, **kwargs)[:, :, :t, :h, :w]
File "/mnt/Downloads/ComfyUI/comfy/ldm/wan/model.py", line 597, in forward_orig
x = block(x, e=e0, freqs=freqs, context=context, context_img_len=context_img_len, transformer_options=transformer_options)
File "/home/minimonk/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/minimonk/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl
return forward_call(*args, **kwargs)
File "/mnt/Downloads/ComfyUI/comfy/ldm/wan/model.py", line 258, in forward
y = self.ffn(torch.addcmul(repeat_e(e[3], x), self.norm2(x), 1 + repeat_e(e[4], x)))
File "/home/minimonk/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/minimonk/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl
return forward_call(*args, **kwargs)
File "/home/minimonk/.local/lib/python3.10/site-packages/torch/nn/modules/container.py", line 240, in forward
input = module(input)
File "/home/minimonk/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/minimonk/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl
return forward_call(*args, **kwargs)
File "/home/minimonk/.local/lib/python3.10/site-packages/torch/nn/modules/activation.py", line 734, in forward
return F.gelu(input, approximate=self.approximate)
torch.OutOfMemoryError: Allocation on device
Memory summary:
|===========================================================================|
| PyTorch CUDA memory summary, device ID 0 |
|---------------------------------------------------------------------------|
| CUDA OOMs: 0 | cudaMalloc retries: 0 |
|===========================================================================|
| Metric | Cur Usage | Peak Usage | Tot Alloc | Tot Freed |
|---------------------------------------------------------------------------|
| Allocated memory | 5675 MiB | 7030 MiB | 0 B | 0 B |
| from large pool | 0 MiB | 0 MiB | 0 B | 0 B |
| from small pool | 0 MiB | 0 MiB | 0 B | 0 B |
|---------------------------------------------------------------------------|
| Active memory | 5675 MiB | 7030 MiB | 0 B | 0 B |
| from large pool | 0 MiB | 0 MiB | 0 B | 0 B |
| from small pool | 0 MiB | 0 MiB | 0 B | 0 B |
|---------------------------------------------------------------------------|
| Requested memory | 0 B | 0 B | 0 B | 0 B |
| from large pool | 0 B | 0 B | 0 B | 0 B |
| from small pool | 0 B | 0 B | 0 B | 0 B |
|---------------------------------------------------------------------------|
| GPU reserved memory | 10784 MiB | 10784 MiB | 0 B | 0 B |
| from large pool | 0 MiB | 0 MiB | 0 B | 0 B |
| from small pool | 0 MiB | 0 MiB | 0 B | 0 B |
|---------------------------------------------------------------------------|
| Non-releasable memory | 0 B | 0 B | 0 B | 0 B |
| from large pool | 0 B | 0 B | 0 B | 0 B |
| from small pool | 0 B | 0 B | 0 B | 0 B |
|---------------------------------------------------------------------------|
| Allocations | 0 | 0 | 0 | 0 |
| from large pool | 0 | 0 | 0 | 0 |
| from small pool | 0 | 0 | 0 | 0 |
|---------------------------------------------------------------------------|
| Active allocs | 0 | 0 | 0 | 0 |
| from large pool | 0 | 0 | 0 | 0 |
| from small pool | 0 | 0 | 0 | 0 |
|---------------------------------------------------------------------------|
| GPU reserved segments | 0 | 0 | 0 | 0 |
| from large pool | 0 | 0 | 0 | 0 |
| from small pool | 0 | 0 | 0 | 0 |
|---------------------------------------------------------------------------|
| Non-releasable allocs | 0 | 0 | 0 | 0 |
| from large pool | 0 | 0 | 0 | 0 |
| from small pool | 0 | 0 | 0 | 0 |
|---------------------------------------------------------------------------|
| Oversize allocations | 0 | 0 | 0 | 0 |
|---------------------------------------------------------------------------|
| Oversize GPU segments | 0 | 0 | 0 | 0 |
|===========================================================================|
Got an OOM, unloading all loaded models.
Prompt executed in 154.15 seconds |
