KSampler OOM

Error occurred when executing KSampler:

Allocation on device 0 would exceed allowed memory. (out of memory)
Currently allocated : 6.50 GiB
Requested : 40.00 MiB
Device limit : 8.00 GiB
Free (according to CUDA): 0 bytes
PyTorch limit (set by user-supplied memory fraction)
: 17179869184.00 GiB

File "C:\AI TRW\ComfyUI_windows_portable\ComfyUI\execution.py", line 153, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "C:\AI TRW\ComfyUI_windows_portable\ComfyUI\execution.py", line 83, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "C:\AI TRW\ComfyUI_windows_portable\ComfyUI\execution.py", line 76, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "C:\AI TRW\ComfyUI_windows_portable\ComfyUI\nodes.py", line 1236, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
File "C:\AI TRW\ComfyUI_windows_portable\ComfyUI\nodes.py", line 1206, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "C:\AI TRW\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\hacky.py", line 22, in informative_sample
raise e
File "C:\AI TRW\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\hacky.py", line 9, in informative_sample
return original_sample(*args, **kwargs)
File "C:\AI TRW\ComfyUI_windows_portable\ComfyUI\comfy\sample.py", line 97, 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 "C:\AI TRW\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 785, 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 "C:\AI TRW\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 690, in sample
samples = sampler.sample(model_wrap, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
File "C:\AI TRW\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 630, in sample
samples = getattr(k_diffusion_sampling, "sample_{}".format(sampler_name))(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **extra_options)
File "C:\AI TRW\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "C:\AI TRW\ComfyUI_windows_portable\ComfyUI\comfy\k_diffusion\sampling.py", line 707, in sample_dpmpp_sde_gpu
return sample_dpmpp_sde(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, eta=eta, s_noise=s_noise, noise_sampler=noise_sampler, r=r)
File "C:\AI TRW\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "C:\AI TRW\ComfyUI_windows_portable\ComfyUI\comfy\k_diffusion\sampling.py", line 559, in sample_dpmpp_sde
denoised_2 = model(x_2, sigma_fn(s) * s_in, **extra_args)
File "C:\AI TRW\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\AI TRW\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 323, in forward
out = self.inner_model(x, sigma, cond=cond, uncond=uncond, cond_scale=cond_scale, cond_concat=cond_concat, model_options=model_options, seed=seed)
File "C:\AI TRW\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\AI TRW\ComfyUI_windows_portable\ComfyUI\comfy\k_diffusion\external.py", line 125, in forward
eps = self.get_eps(input * c_in, self.sigma_to_t(sigma), **kwargs)
File "C:\AI TRW\ComfyUI_windows_portable\ComfyUI\comfy\k_diffusion\external.py", line 151, in get_eps
return self.inner_model.apply_model(*args, **kwargs)
File "C:\AI TRW\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 311, in apply_model
out = sampling_function(self.inner_model.apply_model, x, timestep, uncond, cond, cond_scale, cond_concat, model_options=model_options, seed=seed)
File "C:\AI TRW\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 289, in sampling_function
cond, uncond = calc_cond_uncond_batch(model_function, cond, uncond, x, timestep, max_total_area, cond_concat, model_options)
File "C:\AI TRW\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 265, in calc_cond_uncond_batch
output = model_function(input_x, timestep_, **c).chunk(batch_chunks)
File "C:\AI TRW\ComfyUI_windows_portable\ComfyUI\comfy\model_base.py", line 63, in apply_model
return self.diffusion_model(xc, t, context=context, y=c_adm, control=control, transformer_options=transformer_options).float()
File "C:\AI TRW\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\AI TRW\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 659, in forward
h = forward_timestep_embed(module, h, emb, context, transformer_options, output_shape)
File "C:\AI TRW\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 56, in forward_timestep_embed
x = layer(x, context, transformer_options)
File "C:\AI TRW\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\AI TRW\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\attention.py", line 529, in forward
x = block(x, context=context[i], transformer_options=transformer_options)
File "C:\AI TRW\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\AI TRW\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\attention.py", line 359, in forward
return checkpoint(self._forward, (x, context, transformer_options), self.parameters(), self.checkpoint)
File "C:\AI TRW\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\diffusionmodules\util.py", line 123, in checkpoint
return func(*inputs)
File "C:\AI TRW\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\attention.py", line 469, in _forward
x = self.ff(self.norm3(x)) + x
File "C:\AI TRW\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\AI TRW\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\attention.py", line 82, in forward
return self.net(x)
File "C:\AI TRW\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\AI TRW\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\container.py", line 217, in forward
input = module(input)
File "C:\AI TRW\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\AI TRW\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\attention.py", line 62, in forward
return x * F.gelu(gate)