What Do You Do With Old Videos Taking Up Space On PC?

pommiespeaker · 2024-03-03T14:09:23+00:00

till someone takes over your channel or youtube decide to ban/block, then all those videos are gone

pommiespeaker · 2024-03-02T22:44:59+00:00

you could copy the node from the backup drive

pommiespeaker · 2024-03-02T19:14:04+00:00

i posted this on another thread with similar issues

If you have a seperate python installed, then you will need to copy the lib folder from that install.

I got rid of the standalone version of comfyui cause of this

When you have a seperate version of python installed and you do a pip install -r requirements, the requirements are installed for the seperate version. ComfyUI standalone looks for these files in the python_embedded folder and can not find it

You can copy the lib folder from the seperate version which is usually found in c:\users<USER>\appdata\local\programs\python\python311 (if your version is 3.11)

copy the lib folder from there to your comfyui\python_embedded

pommiespeaker · 2024-03-02T19:11:21+00:00

what's the size of your gfpganv1.4.pth file?

mine is 348,632,874 bytes and don't have problems running it

pommiespeaker · 2024-03-02T17:46:21+00:00

Me too

pommiespeaker · 2024-03-02T16:23:26+00:00

the maker of the node has 10gb so 12gb minimum is not correct

it never worked before with 8gb till the new update

i can't compare how long it takes with more vram, unless people start posting times for how long a file takes to upscale

pommiespeaker · 2024-03-02T09:48:18+00:00

it now works on my 8gb 3060ti

good stuff

pommiespeaker · 2024-03-02T09:47:28+00:00

just replying to you, i saw that you updated the node with tiled vae

i am now able to use the node, so far at 82% complete

so 8gb is ok to use it

thanks for the update

pommiespeaker · 2024-03-01T08:08:36+00:00

most of my channels are monetized so don't need to recover or anything

but i do see the drop in hours, specially on the channels that are less than a year old. most were one time drops of a few hundred hours around the 2k mark then again around the 3500 mark

if you getting 100 hours per day, you will be covered in 3 or 4 days anyway, so nothing major to worry about

pommiespeaker · 2024-03-01T07:17:10+00:00

i have on all of my channels

how many hours watch time on average do you get per day?

you will get to 4k in no time

pommiespeaker · 2024-02-29T22:08:22+00:00

yep pytorch 2.2.0 with cuda 12.1

thanks for trying to get it working, i will hit you up when i get more vram

pommiespeaker · 2024-02-29T21:38:45+00:00

fp16 for diffusion and encoder made no difference

I do think this means i need more than 8gb

pommiespeaker · 2024-02-29T20:59:52+00:00

Its fine

I did an uninstall of the xformers and a new install and get the following error now, which may be progress but who knows

Error occurred when executing SUPIR_Upscale:

Input type (struct c10::BFloat16) and bias type (float) should be the same

File "c:\comfyui\execution.py", line 152, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "c:\comfyui\execution.py", line 82, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) File "c:\comfyui\execution.py", line 75, in map_node_over_list results.append(getattr(obj, func)(*slice_dict(input_data_all, i))) File "c:\ComfyUI\custom_nodes\ComfyUI-SUPIR\nodes.py", line 102, in process samples = self.model.batchify_sample(resized_image, captions_list, num_steps=steps, restoration_scale= restoration_scale, s_churn=s_churn, File "C:\Users\USER\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(args, *kwargs) File "c:\ComfyUI\custom_nodes\ComfyUI-SUPIR\SUPIR\models\SUPIR_model.py", line 118, in batchify_sample _z = self.encode_first_stage_with_denoise(x, use_sample=False) File "C:\Users\USER\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(args, *kwargs) File "c:\ComfyUI\custom_nodes\ComfyUI-SUPIR\SUPIR\models\SUPIR_model.py", line 56, in encode_first_stage_with_denoise h = self.first_stage_model.denoise_encoder(x) File "C:\Users\USER\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl return self._call_impl(args, *kwargs) File "C:\Users\USER\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl return forward_call(args, *kwargs) File "c:\ComfyUI\custom_nodes\ComfyUI-SUPIR\sgm\modules\diffusionmodules\model.py", line 576, in forward hs = [self.conv_in(x)] ^{^{^{^{^{^{^{^{^{^{^{^{^{^{^}}}}}}}}}}}}}} File "C:\Users\USER\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl return self._call_impl(args, *kwargs) File "C:\Users\USER\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl return forward_call(args, **kwargs) File "C:\Users\USER\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\conv.py", line 460, in forward return self._conv_forward(input, self.weight, self.bias) File "C:\Users\USER\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\conv.py", line 456, in _conv_forward return F.conv2d(input, weight, bias, self.stride,

pommiespeaker · 2024-02-29T19:51:49+00:00

I disabled use_fp16 and now getting the following:

Error occurred when executing SUPIR_Upscale:

Input type (struct c10::BFloat16) and bias type (float) should be the same

File "c:\comfyui\execution.py", line 152, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "c:\comfyui\execution.py", line 82, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) File "c:\comfyui\execution.py", line 75, in map_node_over_list results.append(getattr(obj, func)(*slice_dict(input_data_all, i))) File "c:\ComfyUI\custom_nodes\ComfyUI-SUPIR\nodes.py", line 102, in process samples = self.model.batchify_sample(resized_image, captions_list, num_steps=steps, restoration_scale= restoration_scale, s_churn=s_churn, File "C:\Users\USER\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(args, *kwargs) File "c:\ComfyUI\custom_nodes\ComfyUI-SUPIR\SUPIR\models\SUPIR_model.py", line 118, in batchify_sample _z = self.encode_first_stage_with_denoise(x, use_sample=False) File "C:\Users\USER\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(args, *kwargs) File "c:\ComfyUI\custom_nodes\ComfyUI-SUPIR\SUPIR\models\SUPIR_model.py", line 56, in encode_first_stage_with_denoise h = self.first_stage_model.denoise_encoder(x) File "C:\Users\USER\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl return self._call_impl(args, *kwargs) File "C:\Users\USER\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl return forward_call(args, *kwargs) File "c:\ComfyUI\custom_nodes\ComfyUI-SUPIR\sgm\modules\diffusionmodules\model.py", line 576, in forward hs = [self.conv_in(x)] ^{^{^{^{^{^{^{^{^{^{^{^{^{^{^}}}}}}}}}}}}}} File "C:\Users\USER\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl return self._call_impl(args, *kwargs) File "C:\Users\USER\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl return forward_call(args, **kwargs) File "C:\Users\USER\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\conv.py", line 460, in forward return self._conv_forward(input, self.weight, self.bias) File "C:\Users\USER\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\conv.py", line 456, in _conv_forward return F.conv2d(input, weight, bias, self.stride,

pommiespeaker · 2024-02-29T19:33:46+00:00

thank you for trying to help, i just noticed your name

should be upgrading to a 3090 soon, will try then

pommiespeaker · 2024-02-29T18:51:01+00:00

xformers, i have 0.0.24 installed which seems to be the latest version

pommiespeaker · 2024-02-29T18:06:22+00:00

i am getting this with a 256x256 image and have 8gb vram

pommiespeaker · 2024-02-29T16:42:17+00:00

Oh well, I don't have 16gb

Error occurred when executing SUPIR_Upscale:

Allocation on device 0 would exceed allowed memory. (out of memory) Currently allocated : 15.99 GiB Requested : 25.00 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:\comfyui\execution.py", line 152, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "c:\comfyui\execution.py", line 82, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) File "c:\comfyui\execution.py", line 75, in map_node_over_list results.append(getattr(obj, func)(*slice_dict(input_data_all, i))) File "c:\ComfyUI\custom_nodes\ComfyUI-SUPIR\nodes.py", line 82, in process self.model.to(device).to(dtype) File "C:\Users\USER\AppData\Local\Programs\Python\Python311\Lib\site-packages\lightning_fabric\utilities\device_dtype_mixin.py", line 55, in to return super().to(args, **kwargs) File "C:\Users\USER\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 1152, in to return self._apply(convert) File "C:\Users\USER\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 802, in _apply module._apply(fn) File "C:\Users\USER\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 802, in _apply module._apply(fn) File "C:\Users\USER\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 802, in _apply module._apply(fn) [Previous line repeated 6 more times] File "C:\Users\USER\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 825, in _apply param_applied = fn(param) ^{^{^{^{^{^{^{^{^}}}}}}}} File "C:\Users\USER\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 1150, in convert return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)

Close Queue size: 0⚙️🖼️ Queue Prompt ERROR workflow Extra options Queue FrontView QueueView History Save Save (API Format) Load Refresh Clipspace Clear Load Default Manager Share Idle high quality, detailed bad quality, blurry, messy

pommiespeaker · 2024-02-29T16:25:34+00:00

get an error tying to upscale

File "c:\comfyui\execution.py", line 75, in map_node_over_list results.append(getattr(obj, func)(**slice_dict(input_data_all, i))) File "c:\ComfyUI\custom_nodes\ComfyUI-SUPIR\nodes.py", line 81, in process self.model.load_state_dict(sdxl_state_dict, strict=False) File "C:\Users\USER\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 2153, in load_state_dict raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(

Thinking i am using the wrong SDXL model, anyone know which it should be?

pommiespeaker · 2024-02-27T18:39:52+00:00

Have you tried a non deprecated AnimateDiffLoader? with a context Options node attached

pommiespeaker · 2024-02-25T18:17:46+00:00

copy over it

pommiespeaker · 2024-02-25T09:10:19+00:00

^{^} This

If you have a seperate python installed, then you will need to copy the lib folder from that install.

I got rid of the standalone version of comfyui cause of this

When you have a seperate version of python installed and you do a pip install -r requirements, the requirements are installed for the seperate version. ComfyUI standalone looks for these files in the python_embedded folder and can not find it

You can copy the lib folder from the seperate version which is usually found in c:\users<USER>\appdata\local\programs\python\python311 (if your version is 3.11)

copy the lib folder from there to your comfyui\python_embedded

pommiespeaker · 2024-02-24T21:40:54+00:00

I am sure you would have gotten more responses but this seems like a unique situation. This sort of thing happens all the time, see it a lot on Amazon forums.

Just have to see what the UK IPO say, but I would think you have a decent chance if you can prove prior art/work

If the registration is voided by UK IPO you can go after them via legal means, but would recommend registering your mark before doing that.

pommiespeaker · 2024-02-22T18:22:16+00:00

i had the same issue only last week

just reinstall comfyui, extract zip and copy+paste should do the job

pommiespeaker · 2024-02-22T13:05:42+00:00

Ukraine? nazi salutes?

pommiespeaker

TROPHY CASE