When used with Animatediff and more than 48 frames, an error occurs: !!! Exception during processing!!! Allocation on device 0 would exceed allowed memory. (out of memory)

[hahy36]

!!! Exception during processing!!! Allocation on device 0 would exceed allowed memory. (out of memory)
Currently allocated : 11.61 GiB
Requested : 960.00 MiB
Device limit : 14.75 GiB
Free (according to CUDA): 19.06 MiB
PyTorch limit (set by user-supplied memory fraction)
: 17179869184.00 GiB
Traceback (most recent call last):
File "/kaggle/working/ComfyUI/execution.py", line 151, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "/kaggle/working/ComfyUI/execution.py", line 81, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "/kaggle/working/ComfyUI/execution.py", line 74, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "/kaggle/working/ComfyUI/nodes.py", line 1378, 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 "/kaggle/working/ComfyUI/nodes.py", line 1314, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "/kaggle/working/ComfyUI/custom_nodes/ComfyUI-AnimateDiff-Evolved/animatediff/sampling.py", line 418, in motion_sample
latents = orig_comfy_sample(model, noise, *args, **kwargs)
File "/kaggle/working/ComfyUI/custom_nodes/ComfyUI-Advanced-ControlNet/adv_control/control_reference.py", line 47, in refcn_sample
return orig_comfy_sample(model, *args, **kwargs)
File "/kaggle/working/ComfyUI/comfy/sample.py", line 37, 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 "/kaggle/working/ComfyUI/comfy/samplers.py", line 755, 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 "/kaggle/working/ComfyUI/comfy/samplers.py", line 657, in sample
return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "/kaggle/working/ComfyUI/comfy/samplers.py", line 644, in sample
output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "/kaggle/working/ComfyUI/comfy/samplers.py", line 623, in inner_sample
samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
File "/kaggle/working/ComfyUI/comfy/samplers.py", line 534, in sample
samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
File "/kaggle/venv/venv/lib/python3.10/site-packages/torch/utils/contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/kaggle/working/ComfyUI/comfy/k_diffusion/sampling.py", line 745, in sample_lcm
denoised = model(x, sigmas[i] * s_in, **extra_args)
File "/kaggle/working/ComfyUI/comfy/samplers.py", line 272, in call
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
File "/kaggle/working/ComfyUI/comfy/samplers.py", line 610, in call
return self.predict_noise(*args, **kwargs)
File "/kaggle/working/ComfyUI/comfy/samplers.py", line 613, 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 "/kaggle/working/ComfyUI/custom_nodes/ComfyUI-AnimateDiff-Evolved/animatediff/sampling.py", line 455, in evolved_sampling_function
cond_pred, uncond_pred = sliding_calc_conds_batch(model, [cond, uncond], x, timestep, model_options)
File "/kaggle/working/ComfyUI/custom_nodes/ComfyUI-AnimateDiff-Evolved/animatediff/sampling.py", line 592, in sliding_calc_conds_batch
sub_conds_out = calc_cond_uncond_batch_wrapper(model, sub_conds, sub_x, sub_timestep, model_options)
File "/kaggle/working/ComfyUI/custom_nodes/ComfyUI-AnimateDiff-Evolved/animatediff/sampling.py", line 652, in calc_cond_uncond_batch_wrapper
return comfy.samplers.calc_cond_batch(model, conds, x_in, timestep, model_options)
File "/kaggle/working/ComfyUI/comfy/samplers.py", line 218, in calc_cond_batch
output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
File "/kaggle/working/ComfyUI/comfy/model_base.py", line 97, in apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
File "/kaggle/venv/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/kaggle/venv/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "/kaggle/working/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py", line 885, in forward
h = forward_timestep_embed(module, h, emb, context, transformer_options, output_shape, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
File "/kaggle/working/ComfyUI/custom_nodes/ComfyUI-AnimateDiff-Evolved/animatediff/sampling.py", line 139, in forward_timestep_embed
x = layer(x, context, transformer_options)
File "/kaggle/venv/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/kaggle/venv/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "/kaggle/working/ComfyUI/comfy/ldm/modules/attention.py", line 633, in forward
x = block(x, context=context[i], transformer_options=transformer_options)
File "/kaggle/venv/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/kaggle/venv/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "/kaggle/working/ComfyUI/comfy/ldm/modules/attention.py", line 460, in forward
return checkpoint(self._forward, (x, context, transformer_options), self.parameters(), self.checkpoint)
File "/kaggle/working/ComfyUI/comfy/ldm/modules/diffusionmodules/util.py", line 191, in checkpoint
return func(*inputs)
File "/kaggle/working/ComfyUI/custom_nodes/ComfyUI_TGate/TGate.py", line 129, in tgate_forward
x = self.ff(self.norm3(x))
File "/kaggle/venv/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/kaggle/venv/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "/kaggle/working/ComfyUI/comfy/ldm/modules/attention.py", line 83, in forward
return self.net(x)
File "/kaggle/venv/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/kaggle/venv/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "/kaggle/venv/venv/lib/python3.10/site-packages/torch/nn/modules/container.py", line 217, in forward
input = module(input)
File "/kaggle/venv/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/kaggle/venv/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "/kaggle/working/ComfyUI/comfy/ldm/modules/attention.py", line 63, in forward
return x * F.gelu(gate)
torch.cuda.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)
Currently allocated : 11.61 GiB
Requested : 960.00 MiB
Device limit : 14.75 GiB
Free (according to CUDA): 19.06 MiB
PyTorch limit (set by user-supplied memory fraction)
: 17179869184.00 GiB