ComfyUI dont allocate the the memory in PyTorch

### Expected Behavior

Executes

### Actual Behavior

KSampler
HIP out of memory. Tried to allocate 6.46 GiB. GPU 0 has a total capacity of 23.92 GiB of which 3.35 GiB is free. Of the allocated memory 16.97 GiB is allocated by PyTorch, and 127.91 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_HIP_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

### Steps to Reproduce

Execute a normal workflow

### Debug Logs

```powershell
# ComfyUI Error Report
## Error Details
- **Node ID:** 3
- **Node Type:** KSampler
- **Exception Type:** torch.OutOfMemoryError
- **Exception Message:** HIP out of memory. Tried to allocate 6.46 GiB. GPU 0 has a total capacity of 23.92 GiB of which 3.35 GiB is free. Of the allocated memory 16.97 GiB is allocated by PyTorch, and 127.91 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_HIP_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
## Stack Trace

File "/home/ad/ComfyUI/execution.py", line 327, in execute
output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)

File "/home/ad/ComfyUI/execution.py", line 202, in 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)

File "/home/ad/ComfyUI/execution.py", line 174, in _map_node_over_list
process_inputs(input_dict, i)

File "/home/ad/ComfyUI/execution.py", line 163, in process_inputs
results.append(getattr(obj, func)(**inputs))

File "/home/ad/ComfyUI/nodes.py", line 1533, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)

File "/home/ad/ComfyUI/nodes.py", line 1500, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,

File "/home/ad/ComfyUI/comfy/sample.py", line 45, 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 "/home/ad/ComfyUI/comfy/samplers.py", line 1110, 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 "/home/ad/ComfyUI/comfy/samplers.py", line 1000, in sample
return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)

File "/home/ad/ComfyUI/comfy/samplers.py", line 985, in sample
output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)

File "/home/ad/ComfyUI/comfy/patcher_extension.py", line 110, in execute
return self.original(*args, **kwargs)

File "/home/ad/ComfyUI/comfy/samplers.py", line 953, in outer_sample
output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)

File "/home/ad/ComfyUI/comfy/samplers.py", line 936, in inner_sample
samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)

File "/home/ad/ComfyUI/comfy/patcher_extension.py", line 110, in execute
return self.original(*args, **kwargs)

File "/home/ad/ComfyUI/comfy/samplers.py", line 715, 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/ad/ComfyUI/.venv/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)

File "/home/ad/ComfyUI/comfy/k_diffusion/sampling.py", line 161, in sample_euler
denoised = model(x, sigma_hat * s_in, **extra_args)

File "/home/ad/ComfyUI/comfy/samplers.py", line 380, in __call__
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)

File "/home/ad/ComfyUI/comfy/samplers.py", line 916, in __call__
return self.predict_noise(*args, **kwargs)

File "/home/ad/ComfyUI/comfy/samplers.py", line 919, 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/ad/ComfyUI/comfy/samplers.py", line 360, in sampling_function
out = calc_cond_batch(model, conds, x, timestep, model_options)

File "/home/ad/ComfyUI/comfy/samplers.py", line 196, in calc_cond_batch
return executor.execute(model, conds, x_in, timestep, model_options)

File "/home/ad/ComfyUI/comfy/patcher_extension.py", line 110, in execute
return self.original(*args, **kwargs)

File "/home/ad/ComfyUI/comfy/samplers.py", line 309, in _calc_cond_batch
output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)

File "/home/ad/ComfyUI/comfy/model_base.py", line 131, in apply_model
return comfy.patcher_extension.WrapperExecutor.new_class_executor(

File "/home/ad/ComfyUI/comfy/patcher_extension.py", line 110, in execute
return self.original(*args, **kwargs)

File "/home/ad/ComfyUI/comfy/model_base.py", line 160, in _apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()

File "/home/ad/ComfyUI/.venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1739, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)

File "/home/ad/ComfyUI/.venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1750, in _call_impl
return forward_call(*args, **kwargs)

File "/home/ad/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py", line 831, in forward
return comfy.patcher_extension.WrapperExecutor.new_class_executor(

File "/home/ad/ComfyUI/comfy/patcher_extension.py", line 110, in execute
return self.original(*args, **kwargs)

File "/home/ad/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py", line 873, in _forward
h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)

File "/home/ad/ComfyUI/.venv/lib/python3.10/site-packages/torch/nn/functional.py", line 2380, in silu
return torch._C._nn.silu(input)

```
## System Information
- **ComfyUI Version:** 0.3.10
- **Arguments:** main.py
- **OS:** posix
- **Python Version:** 3.10.12 (main, Nov 6 2024, 20:22:13) [GCC 11.4.0]
- **Embedded Python:** false
- **PyTorch Version:** 2.7.0.dev20250115+rocm6.2.4
## Devices

- **Name:** cuda:0 AMD Radeon RX 7900 XTX : native
- **Type:** cuda
- **VRAM Total:** 25681895424
- **VRAM Free:** 20495405056
- **Torch VRAM Total:** 33554432
- **Torch VRAM Free:** 0
```

### Other

_No response_