Hello, I know you're just starting on this (I found it on a github search by recently updated Automatic1111 extensions). But due to that, I figured maybe you're looking for feedback. I installed using the URL, put a 15sec mp4 in the box (loaded fine), added a prompt, but got the following error when clicking generate. It could very well be my setup or something wrong w/ my personal installation/extensions/etc. I have had occasional crashes the past few weeks. Good luck and thanks for continuing to push the bar w/ SD via your work.
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Restarting UI...
Running on local URL: http://127.0.0.1:7860
To create a public link, set share=True
in launch()
.
Loading weights [ca13540e36] from e:\Stable Diffusion Checkpoints\2023-03-04 - Topnotch 66 - (Flip half) - 40img - (Flip half) - 3000 steps (of 5000 max).ckpt
Loading VAE weights specified in settings: C:\stable-diffusion-webui\models\VAE\vae-ft-mse-840000-ema-pruned.ckpt
Applying xformers cross attention optimization.
Weights loaded in 1.2s (load weights from disk: 0.7s, apply weights to model: 0.1s, load VAE: 0.1s, move model to device: 0.2s).
Exception in callback _ProactorBasePipeTransport._call_connection_lost(None)
handle: <Handle _ProactorBasePipeTransport._call_connection_lost(None)>
Traceback (most recent call last):
File "C:\Users\Administrator\AppData\Local\Programs\Python\Python310\lib\asyncio\events.py", line 80, in _run
self._context.run(self._callback, *self._args)
File "C:\Users\Administrator\AppData\Local\Programs\Python\Python310\lib\asyncio\proactor_events.py", line 162, in _call_connection_lost
self._sock.shutdown(socket.SHUT_RDWR)
ConnectionResetError: [WinError 10054] An existing connection was forcibly closed by the remote host
Will process 1 animation(s) with 3430 total generations.
INFO:sd_dynamic_prompts.dynamic_prompting:Prompt matrix will create 1 images in a total of 1 batches.
100%|██████████████████████████████████████████████████████████████████████████████████| 28/28 [00:09<00:00, 2.85it/s]
Error completing request | 28/96040 [00:09<9:17:00, 2.87it/s]
Arguments: ('task(mzs0ni3fgdfr7pk)', 0, 'topnotch artstyle ', '', [], <PIL.Image.Image image mode=RGBA size=1920x1080 at 0x222C1B27A30>, None, {'image': <PIL.Image.Image image mode=RGBA size=1920x1080 at 0x222C1B25FF0>, 'mask': <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=1920x1080 at 0x222C1B278E0>}, None, None, None, None, 36, 0, 4, 0, 1, False, False, 1, 1, 7, 1.5, 0.75, -1.0, -1.0, 0, 0, 0, False, 1080, 1920, 0, 0, 32, 0, '', '', '', [], 11, False, '', 0, True, False, 1, False, False, False, 1.1, 1.5, 100, 0.7, False, False, True, False, False, 0, 'Gustavosta/MagicPrompt-Stable-Diffusion', '', False, 7, 100, 'Constant', 0, 'Constant', 0, 4, True, True, False, 'none', 'None', 1, None, False, 'Scale to Fit (Inner Fit)', False, False, 64, 64, 64, 0, 1, False, False, 'none', 'None', 1, None, False, 'Scale to Fit (Inner Fit)', False, False, 64, 64, 64, 0, 1, False, False, 'none', 'None', 1, None, False, 'Scale to Fit (Inner Fit)', False, False, 64, 64, 64, 0, 1, False, '
\nCFG Scale
should be 2 or lower. \n
\n', True, True, '', '', True, 50, True, 1, 0, False, 4, 1, 'None', '
Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8
', 128, 8, ['left', 'right', 'up', 'down'], 1, 0.05, 128, 4, 0, ['left', 'right', 'up', 'down'], False, False, 'positive', 'comma', 0, False, False, '', '
Will upscale the image by the selected scale factor; use width and height sliders to set tile size
', 64, 0, 2, 1, '', 0, '', 0, '', True, False, False, False, 0, 'Blur First V1', 0.25, 10, 10, 10, 10, 1, False, '', '', 0.5, 1, False, <tempfile._TemporaryFileWrapper object at 0x00000222C1B264A0>, True, True, True, '29', '3430', True, True, True, 0, 0.1, 1, 'None', False, 0, 2, 512, 512, False, None, None, None, 50, False, 4.0, '', 10.0, 'Linear', 3, False, True, 30.0, True, False, False, 0, 0.0, 'Lanczos', 1, True, 0, 0, '
Will upscale the image depending on the selected target size type
', 512, 0, 8, 32, 64, 0.35, 32, 0, True, 0, False, 8, 0, 0, 2048, 2048, 2) {}
Traceback (most recent call last):
File "C:\stable-diffusion-webui\modules\call_queue.py", line 56, in f
res = list(func(*args, **kwargs))
File "C:\stable-diffusion-webui\modules\call_queue.py", line 37, in f
res = func(*args, **kwargs)
File "C:\stable-diffusion-webui\modules\img2img.py", line 169, in img2img
processed = modules.scripts.scripts_img2img.run(p, *args)
File "C:\stable-diffusion-webui\modules\scripts.py", line 376, in run
processed = script.run(p, *script_args)
File "C:\stable-diffusion-webui\extensions\frame2frame\scripts\frame2frame.py", line 267, in run
out_clip.write_videofile(out_filename, codec='h264', progress_bar=False)
TypeError: VideoClip.write_videofile() got an unexpected keyword argument 'progress_bar'
ERROR:asyncio:Exception in callback _ProactorBasePipeTransport._call_connection_lost(None)
handle: <Handle _ProactorBasePipeTransport._call_connection_lost(None)>
Traceback (most recent call last):
File "C:\Users\Administrator\AppData\Local\Programs\Python\Python310\lib\asyncio\events.py", line 80, in _run
self._context.run(self._callback, *self._args)
File "C:\Users\Administrator\AppData\Local\Programs\Python\Python310\lib\asyncio\proactor_events.py", line 162, in _call_connection_lost
self._sock.shutdown(socket.SHUT_RDWR)
ConnectionResetError: [WinError 10054] An existing connection was forcibly closed by the remote host
Will process 1 animation(s) with 459 total generations.
INFO:sd_dynamic_prompts.dynamic_prompting:Prompt matrix will create 1 images in a total of 1 batches.
100%|██████████████████████████████████████████████████████████████████████████████████| 28/28 [00:02<00:00, 13.42it/s]
Error completing request | 55/96040 [00:55<3:42:01, 7.21it/s]
Arguments: ('task(xjtsx4lighawizg)', 0, 'topnotch artstyle ', '', [], <PIL.Image.Image image mode=RGBA size=960x720 at 0x222C178CFA0>, None, {'image': <PIL.Image.Image image mode=RGBA size=960x720 at 0x222C178F7C0>, 'mask': <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=960x720 at 0x222C178F910>}, None, None, None, None, 36, 0, 4, 0, 1, False, False, 1, 1, 7, 1.5, 0.75, -1.0, -1.0, 0, 0, 0, False, 720, 960, 0, 0, 32, 0, '', '', '', [], 11, False, '', 0, True, False, 1, False, False, False, 1.1, 1.5, 100, 0.7, False, False, True, False, False, 0, 'Gustavosta/MagicPrompt-Stable-Diffusion', '', False, 7, 100, 'Constant', 0, 'Constant', 0, 4, True, True, False, 'none', 'None', 1, None, False, 'Scale to Fit (Inner Fit)', False, False, 64, 64, 64, 0, 1, False, False, 'none', 'None', 1, None, False, 'Scale to Fit (Inner Fit)', False, False, 64, 64, 64, 0, 1, False, False, 'none', 'None', 1, None, False, 'Scale to Fit (Inner Fit)', False, False, 64, 64, 64, 0, 1, False, '
\nCFG Scale
should be 2 or lower. \n
\n', True, True, '', '', True, 50, True, 1, 0, False, 4, 1, 'None', '
Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8
', 128, 8, ['left', 'right', 'up', 'down'], 1, 0.05, 128, 4, 0, ['left', 'right', 'up', 'down'], False, False, 'positive', 'comma', 0, False, False, '', '
Will upscale the image by the selected scale factor; use width and height sliders to set tile size
', 64, 0, 2, 1, '', 0, '', 0, '', True, False, False, False, 0, 'Blur First V1', 0.25, 10, 10, 10, 10, 1, False, '', '', 0.5, 1, False, <tempfile._TemporaryFileWrapper object at 0x00000222C178F070>, True, True, True, '29', '459', True, True, True, 0, 0.1, 1, 'None', False, 0, 2, 512, 512, False, None, None, None, 50, False, 4.0, '', 10.0, 'Linear', 3, False, True, 30.0, True, False, False, 0, 0.0, 'Lanczos', 1, True, 0, 0, '
Will upscale the image depending on the selected target size type
', 512, 0, 8, 32, 64, 0.35, 32, 0, True, 0, False, 8, 0, 0, 2048, 2048, 2) {}
Traceback (most recent call last):
File "C:\stable-diffusion-webui\modules\call_queue.py", line 56, in f
res = list(func(*args, **kwargs))
File "C:\stable-diffusion-webui\modules\call_queue.py", line 37, in f
res = func(*args, **kwargs)
File "C:\stable-diffusion-webui\modules\img2img.py", line 169, in img2img
processed = modules.scripts.scripts_img2img.run(p, *args)
File "C:\stable-diffusion-webui\modules\scripts.py", line 376, in run
processed = script.run(p, *script_args)
File "C:\stable-diffusion-webui\extensions\frame2frame\scripts\frame2frame.py", line 267, in run
out_clip.write_videofile(out_filename, codec='h264', progress_bar=False)
TypeError: VideoClip.write_videofile() got an unexpected keyword argument 'progress_bar'