8cfd677cc0
Replace chainner_models with Spandrel package ( #2146 )
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* Replace chainner_models with Spandrel
* Update to latest spandrel
* Use spandrel_foss instead
* update spandrel to new FOSS-compliant version
2024-05-26 13:44:17 -04:00
16eabdf70d
Free more vram for upscale models.
2024-04-25 17:04:19 -04:00
d09b5ef4ef
Free some memory before loading upscale models.
2024-04-22 18:51:15 -04:00
8be46438be
Support DiffBIR SwinIR models.
2023-09-07 03:31:43 -04:00
a51f33ee49
Use bigger tiles when upscaling with model and fallback on OOM.
2023-07-24 19:47:32 -04:00
587f89fe5a
Enable safe loading for upscale models.
2023-05-14 15:10:40 -04:00
fcf513e0b6
Refactor.
2023-05-03 17:48:35 -04:00
5eeecf3fd5
remove unused import
2023-05-03 18:21:23 +01:00
8912623ea9
use comfy progress bar
2023-05-03 18:19:22 +01:00
06ad35b493
added progress to encode + upscale
2023-05-02 19:18:07 +01:00
73c3e11e83
Fix model_management import so it doesn't get executed twice.
2023-04-15 19:04:33 -04:00
809bcc8ceb
Add support for unCLIP SD2.x models.
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See _for_testing/unclip in the UI for the new nodes.
unCLIPCheckpointLoader is used to load them.
unCLIPConditioning is used to add the image cond and takes as input a
CLIPVisionEncode output which has been moved to the conditioning section.
2023-04-01 23:19:15 -04:00
2e73367f45
Merge T2IAdapterLoader and ControlNetLoader.
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Workflows will be auto updated.
2023-03-17 18:17:59 -04:00
e1a9e26968
Add folder_paths so models can be in multiple paths.
2023-03-17 18:01:11 -04:00
494cfe5444
Prevent model_management from being loaded twice.
2023-03-15 15:18:18 -04:00
c8f1acc4eb
Put image upscaling nodes in image/upscaling category.
2023-03-11 18:10:36 -05:00
9db2e97b47
Tiled upscaling with the upscale models.
2023-03-11 14:04:13 -05:00
905857edd8
Take some code from chainner to implement ESRGAN and other upscale models.
2023-03-11 13:09:28 -05:00
Joey Ballentine
comfyanonymous
pythongosssss