out of memory?

[K-O-N-B]

Error occurred when executing SUPIR_sample:

Allocation on device 0 would exceed allowed memory. (out of memory) Currently allocated : 20.69 GiB Requested : 1.18 GiB Device limit : 23.99 GiB Free (according to CUDA): 0 bytes PyTorch limit (set by user-supplied memory fraction) : 17179869184.00 GiB

File "H:\ComfyUI-qiuye\ComfyUI\execution.py", line 151, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\ComfyUI-qiuye\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 "H:\ComfyUI-qiuye\ComfyUI\custom_nodes\ComfyUI-0246\utils.py", line 381, in new_func res_value = old_func(final_args, kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\ComfyUI-qiuye\ComfyUI\execution.py", line 74, in map_node_over_list results.append(getattr(obj, func)(slice_dict(input_data_all, i))) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\ComfyUI-qiuye\ComfyUI\custom_nodes\ComfyUI-SUPIR\nodes_v2.py", line 451, in sample raise e File "H:\ComfyUI-qiuye\ComfyUI\custom_nodes\ComfyUI-SUPIR\nodes_v2.py", line 440, in sample _samples = self.sampler(denoiser, noised_z, cond=positive[i], uc=negative[i], x_center=sample.unsqueeze(0), control_scale=control_scale_end, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\ComfyUI-qiuye\ComfyUI\custom_nodes\ComfyUI-SUPIR\sgm\modules\diffusionmodules\sampling.py", line 654, in call x, old_denoised = self.sampler_step( ^^^^^^^^^^^^^^^^^^ File "H:\ComfyUI-qiuye\ComfyUI\custom_nodes\ComfyUI-SUPIR\sgm\modules\diffusionmodules\sampling.py", line 606, in sampler_step denoised = self.denoise(x, denoiser, sigma, cond, uc, control_scale=control_scale) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\ComfyUI-qiuye\ComfyUI\custom_nodes\ComfyUI-SUPIR\sgm\modules\diffusionmodules\sampling.py", line 570, in denoise denoised = denoiser(self.guider.prepare_inputs(x, sigma, cond, uc), control_scale) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\ComfyUI-qiuye\ComfyUI\custom_nodes\ComfyUI-SUPIR\nodes_v2.py", line 414, in denoiser = lambda input, sigma, c, control_scale: SUPIR_model.denoiser(SUPIR_model.model, input, sigma, c, control_scale) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\ComfyUI-qiuye\ComfyUI\custom_nodes\ComfyUI-SUPIR\sgm\modules\diffusionmodules\denoiser.py", line 73, in call return network(input c_in, c_noise, cond, control_scale) c_out + input c_skip ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\ComfyUI-qiuye\ComfyUI.ext\Lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl return self._call_impl(args, kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\ComfyUI-qiuye\ComfyUI.ext\Lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl return forward_call(*args, *kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\ComfyUI-qiuye\ComfyUI\custom_nodes\ComfyUI-SUPIR\sgm\modules\diffusionmodules\wrappers.py", line 96, in forward out = self.diffusion_model( ^^^^^^^^^^^^^^^^^^^^^ File "H:\ComfyUI-qiuye\ComfyUI.ext\Lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl return self._call_impl(args, kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\ComfyUI-qiuye\ComfyUI.ext\Lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl return forward_call(*args, kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\ComfyUI-qiuye\ComfyUI\custom_nodes\ComfyUI-SUPIR\SUPIR\modules\SUPIR_v0.py", line 641, in forward h = self.project_modules[adapter_idx](control[control_idx], _h, h, control_scale=control_scale) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\ComfyUI-qiuye\ComfyUI.ext\Lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl return self._call_impl(*args, *kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\ComfyUI-qiuye\ComfyUI.ext\Lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl return forward_call(args, kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\ComfyUI-qiuye\ComfyUI\custom_nodes\ComfyUI-SUPIR\SUPIR\modules\SUPIR_v0.py", line 111, in forward h = self.param_free_norm(h) (gamma + 1) + beta ^^^^^^^^^^^^^^^^^^^^^^^ File "H:\ComfyUI-qiuye\ComfyUI.ext\Lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl return self._call_impl(args, *kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\ComfyUI-qiuye\ComfyUI.ext\Lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl return forward_call(args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\ComfyUI-qiuye\ComfyUI\custom_nodes\ComfyUI-SUPIR\sgm\modules\diffusionmodules\util.py", line 280, in forward return super().forward(x) ^^^^^^^^^^^^^^^^^^ File "H:\ComfyUI-qiuye\ComfyUI.ext\Lib\site-packages\torch\nn\modules\normalization.py", line 287, in forward return F.group_norm( ^^^^^^^^^^^^^ File "H:\ComfyUI-qiuye\ComfyUI.ext\Lib\site-packages\torch\nn\functional.py", line 2561, in group_norm return torch.group_norm(input, num_groups, weight, bias, eps, torch.backends.cudnn.enabled) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

[K-O-N-B]

is it the image too huge? but why the tile didn't work..?

[kijai]

is it the image too huge? but why the tile didn't work..?

You need to select a Tiled sampler for that.

[simartem]

Tiled sampler for that.

can you kindly put an ss how to setup tiled sampler in this kind of workflow, i am getting same issue

[K-O-N-B]

is it the image too huge? but why the tile didn't work..?

You need to select a Tiled sampler for that.

like this? I will try it later

[K-O-N-B]

is it the image too huge? but why the tile didn't work..?

You need to select a Tiled sampler for that.

like this? I will try it later

yes, it is.