comfyanonymous
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9ba440995a
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It's actually possible to torch.compile the unet now.
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2023-07-18 21:36:35 -04:00 |
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comfyanonymous
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ddc6f12ad5
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Disable autocast in unet for increased speed.
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2023-07-05 21:58:29 -04:00 |
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comfyanonymous
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103c487a89
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Cleanup.
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2023-07-02 11:58:23 -04:00 |
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comfyanonymous
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78d8035f73
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Fix bug with controlnet.
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2023-06-24 11:02:38 -04:00 |
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comfyanonymous
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05676942b7
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Add some more transformer hooks and move tomesd to comfy_extras.
Tomesd now uses q instead of x to decide which tokens to merge because
it seems to give better results.
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2023-06-24 03:30:22 -04:00 |
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comfyanonymous
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f87ec10a97
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Support base SDXL and SDXL refiner models.
Large refactor of the model detection and loading code.
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2023-06-22 13:03:50 -04:00 |
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comfyanonymous
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9fccf4aa03
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Add original_shape parameter to transformer patch extra_options.
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2023-06-21 13:22:01 -04:00 |
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comfyanonymous
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8883cb0f67
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Add a way to set patches that modify the attn2 output.
Change the transformer patches function format to be more future proof.
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2023-06-18 22:58:22 -04:00 |
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comfyanonymous
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ae43f09ef7
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All the unet weights should now be initialized with the right dtype.
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2023-06-15 18:42:30 -04:00 |
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comfyanonymous
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e21d9ad445
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Initialize transformer unet block weights in right dtype at the start.
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2023-06-15 14:29:26 -04:00 |
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comfyanonymous
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9d54066ebc
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This isn't needed for inference.
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2023-06-14 13:05:08 -04:00 |
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comfyanonymous
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6971646b8b
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Speed up model loading a bit.
Default pytorch Linear initializes the weights which is useless and slow.
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2023-06-14 12:09:41 -04:00 |
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comfyanonymous
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cb1551b819
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Lowvram mode for gligen and fix some lowvram issues.
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2023-05-05 18:11:41 -04:00 |
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comfyanonymous
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bae4fb4a9d
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Fix imports.
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2023-05-04 18:10:29 -04:00 |
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comfyanonymous
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5282f56434
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Implement Linear hypernetworks.
Add a HypernetworkLoader node to use hypernetworks.
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2023-04-23 12:35:25 -04:00 |
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comfyanonymous
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6908f9c949
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This makes pytorch2.0 attention perform a bit faster.
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2023-04-22 14:30:39 -04:00 |
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comfyanonymous
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3696d1699a
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Add support for GLIGEN textbox model.
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2023-04-19 11:06:32 -04:00 |
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comfyanonymous
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73c3e11e83
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Fix model_management import so it doesn't get executed twice.
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2023-04-15 19:04:33 -04:00 |
EllangoK
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e5e587b1c0
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seperates out arg parser and imports args
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2023-04-05 23:41:23 -04:00 |
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comfyanonymous
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18a6c1db33
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Add a TomePatchModel node to the _for_testing section.
Tome increases sampling speed at the expense of quality.
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2023-03-31 17:19:58 -04:00 |
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comfyanonymous
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61ec3c9d5d
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Add a way to pass options to the transformers blocks.
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2023-03-31 13:04:39 -04:00 |
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comfyanonymous
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3ed4a4e4e6
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Try again with vae tiled decoding if regular fails because of OOM.
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2023-03-22 14:49:00 -04:00 |
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comfyanonymous
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83f23f82b8
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Add pytorch attention support to VAE.
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2023-03-13 12:45:54 -04:00 |
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comfyanonymous
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a256a2abde
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--disable-xformers should not even try to import xformers.
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2023-03-13 11:36:48 -04:00 |
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comfyanonymous
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0f3ba7482f
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Xformers is now properly disabled when --cpu used.
Added --windows-standalone-build option, currently it only opens
makes the code open up comfyui in the browser.
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2023-03-12 15:44:16 -04:00 |
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comfyanonymous
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798c90e1c0
|
Fix pytorch 2.0 cross attention not working.
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2023-03-05 14:14:54 -05:00 |
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comfyanonymous
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c1f5855ac1
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Make some cross attention functions work on the CPU.
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2023-03-03 03:27:33 -05:00 |
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comfyanonymous
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1a612e1c74
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Add some pytorch scaled_dot_product_attention code for testing.
--use-pytorch-cross-attention to use it.
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2023-03-02 17:01:20 -05:00 |
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comfyanonymous
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9502ee45c3
|
Hopefully fix a strange issue with xformers + lowvram.
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2023-02-28 13:48:52 -05:00 |
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comfyanonymous
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c9daec4c89
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Remove prints that are useless when xformers is enabled.
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2023-02-21 22:16:13 -05:00 |
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comfyanonymous
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773cdabfce
|
Same thing but for the other places where it's used.
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2023-02-09 12:43:29 -05:00 |
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comfyanonymous
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50db297cf6
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Try to fix OOM issues with cards that have less vram than mine.
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2023-01-29 00:50:46 -05:00 |
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comfyanonymous
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051f472e8f
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Fix sub quadratic attention for SD2 and make it the default optimization.
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2023-01-25 01:22:43 -05:00 |
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comfyanonymous
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220afe3310
|
Initial commit.
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2023-01-16 22:37:14 -05:00 |