brkirch
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faed465a0b
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MPS Upscalers Fix
Get ESRGAN, SCUNet, and SwinIR working correctly on MPS by ensuring memory is contiguous for tensor views before sending to MPS device.
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2022-10-25 09:42:53 +03:00 |
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brkirch
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4c24347e45
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Remove BSRGAN from --use-cpu, add SwinIR
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2022-10-25 09:42:53 +03:00 |
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AUTOMATIC
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50b5504401
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remove parsing command line from devices.py
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2022-10-22 14:04:14 +03:00 |
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Extraltodeus
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57eb54b838
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implement CUDA device selection by ID
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2022-10-22 00:11:07 +02:00 |
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brkirch
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fdef8253a4
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Add 'interrogate' and 'all' choices to --use-cpu
* Add 'interrogate' and 'all' choices to --use-cpu
* Change type for --use-cpu argument to str.lower, so that choices are case insensitive
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2022-10-14 16:31:39 +03:00 |
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AUTOMATIC
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7349088d32
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--no-half-vae
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2022-10-10 16:16:29 +03:00 |
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brkirch
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e9e2a7ec9a
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Merge branch 'master' into cpu-cmdline-opt
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2022-10-04 07:42:53 -04:00 |
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AUTOMATIC
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6c6ae28bf5
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send all three of GFPGAN's and codeformer's models to CPU memory instead of just one for #1283
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2022-10-04 12:32:22 +03:00 |
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brkirch
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27ddc24fde
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Add BSRGAN to --add-cpu
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2022-10-04 05:18:17 -04:00 |
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brkirch
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eeab7aedf5
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Add --use-cpu command line option
Remove MPS detection to use CPU for GFPGAN / CodeFormer and add a --use-cpu command line option.
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2022-10-04 04:24:35 -04:00 |
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brkirch
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b88e4ea7d6
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Merge branch 'master' into master
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2022-10-04 01:04:19 -04:00 |
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AUTOMATIC
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820f1dc96b
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initial support for training textual inversion
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2022-10-02 15:03:39 +03:00 |
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brkirch
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bdaa36c844
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When device is MPS, use CPU for GFPGAN instead
GFPGAN will not work if the device is MPS, so default to CPU instead.
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2022-09-30 23:53:25 -04:00 |
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AUTOMATIC
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9d40212485
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first attempt to produce crrect seeds in batch
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2022-09-13 21:49:58 +03:00 |
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AUTOMATIC
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c7e0e28ccd
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changes for #294
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2022-09-12 20:09:32 +03:00 |
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AUTOMATIC
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b70b51cc72
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Allow TF32 in CUDA for increased performance #279
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2022-09-12 16:34:13 +03:00 |
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AUTOMATIC
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8fb9c57ed6
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add half() supporrt for CLIP interrogation
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2022-09-11 23:24:24 +03:00 |
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AUTOMATIC
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f194457229
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CLIP interrogator
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2022-09-11 18:48:36 +03:00 |
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Abdullah Barhoum
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b5d1af11b7
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Modular device management
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2022-09-11 09:49:43 +03:00 |
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