Out of memory with RTX3060 6GB

I'm using Comfyui with my laptop that has RTX3060 6GB vram and 40GB ram. When I generate a text-video, it shows me "Out of memory" error message. I have no clue what to do.
Here is the error message:

```
Error occurred when executing KSampler:

Allocation on device 0 would exceed allowed memory. (out of memory)
Currently allocated : 3.61 GiB
Requested : 1.10 GiB
Device limit : 6.00 GiB
Free (according to CUDA): 0 bytes
PyTorch limit (set by user-supplied memory fraction)
: 17179869184.00 GiB

File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\execution.py", line 155, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\execution.py", line 85, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\execution.py", line 78, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\nodes.py", line 1355, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\nodes.py", line 1325, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\sample_error_enhancer.py", line 22, in informative_sample
raise e
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\sample_error_enhancer.py", line 9, in informative_sample
return original_sample(*args, **kwargs) # This code helps interpret error messages that occur within exceptions but does not have any impact on other operations.
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 242, in motion_sample
return orig_comfy_sample(model, noise, *args, **kwargs)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\comfy\sample.py", line 100, in sample
samples = sampler.sample(noise, positive_copy, negative_copy, 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 "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\comfy\samplers.py", line 716, 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 "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\comfy\samplers.py", line 622, in sample
samples = sampler.sample(model_wrap, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\comfy\samplers.py", line 561, in sample
samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\comfy\k_diffusion\sampling.py", line 137, in sample_euler
denoised = model(x, sigma_hat * s_in, **extra_args)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\comfy\samplers.py", line 285, in forward
out = self.inner_model(x, sigma, cond=cond, uncond=uncond, cond_scale=cond_scale, model_options=model_options, seed=seed)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\comfy\samplers.py", line 275, in forward
return self.apply_model(*args, **kwargs)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\comfy\samplers.py", line 272, in apply_model
out = sampling_function(self.inner_model, x, timestep, uncond, cond, cond_scale, model_options=model_options, seed=seed)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\comfy\samplers.py", line 252, in sampling_function
cond_pred, uncond_pred = calc_cond_uncond_batch(model, cond, uncond_, x, timestep, model_options)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\comfy\samplers.py", line 226, in calc_cond_uncond_batch
output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\comfy\model_base.py", line 86, in apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 850, 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 "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 42, in forward_timestep_embed
x = layer(x, context, time_context, num_video_frames, image_only_indicator, transformer_options)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\comfy\ldm\modules\attention.py", line 758, in forward
x = block(
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\comfy\ldm\modules\attention.py", line 443, in forward
return checkpoint(self._forward, (x, context, transformer_options), self.parameters(), self.checkpoint)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\comfy\ldm\modules\diffusionmodules\util.py", line 189, in checkpoint
return func(*inputs)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\comfy\ldm\modules\attention.py", line 553, in _forward
x = self.ff(self.norm3(x))
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\comfy\ldm\modules\attention.py", line 85, in forward
return self.net(x)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\container.py", line 215, in forward
input = module(input)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\comfy\ldm\modules\attention.py", line 64, in forward
x, gate = self.proj(x).chunk(2, dim=-1)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\comfy\ops.py", line 28, in forward
return super().forward(*args, **kwargs)
File "P:\AI_Tools\StabilityMatrix-win-x64\Data\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\linear.py", line 114, in forward
return F.linear(input, self.weight, self.bias)
```