patientx
a8652a052f
Merge branch 'comfyanonymous:master' into master
2024-08-30 12:14:01 +03:00
comfyanonymous
6eb5d64522
Fix glora lowvram issue.
2024-08-29 19:07:23 -04:00
comfyanonymous
10a79e9898
Implement model part of flux union controlnet.
2024-08-29 18:41:22 -04:00
patientx
a110c83af7
Merge branch 'comfyanonymous:master' into master
2024-08-29 20:51:26 +03:00
patientx
02c34de8b1
Merge branch 'comfyanonymous:master' into master
2024-08-29 11:55:26 +03:00
comfyanonymous
ea3f39bd69
InstantX depth flux controlnet.
2024-08-29 02:14:19 -04:00
comfyanonymous
b33cd61070
InstantX canny controlnet.
2024-08-28 19:02:50 -04:00
patientx
39c3ef9d66
Merge branch 'comfyanonymous:master' into master
2024-08-29 01:34:07 +03:00
comfyanonymous
d31e226650
Unify RMSNorm code.
2024-08-28 16:56:38 -04:00
patientx
7056a6aa6f
Merge branch 'comfyanonymous:master' into master
2024-08-28 09:36:30 +03:00
comfyanonymous
38c22e631a
Fix case where model was not properly unloaded in merging workflows.
2024-08-27 19:03:51 -04:00
patientx
bdd77b243b
Merge branch 'comfyanonymous:master' into master
2024-08-27 21:29:27 +03:00
Chenlei Hu
6bbdcd28ae
Support weight padding on diff weight patch ( #4576 )
2024-08-27 13:55:37 -04:00
patientx
2feaa21954
Merge branch 'comfyanonymous:master' into master
2024-08-27 20:24:31 +03:00
comfyanonymous
ab130001a8
Do RMSNorm in native type.
2024-08-27 02:41:56 -04:00
patientx
4193c15afe
Merge branch 'comfyanonymous:master' into master
2024-08-26 22:56:02 +03:00
comfyanonymous
2ca8f6e23d
Make the stochastic fp8 rounding reproducible.
2024-08-26 15:12:06 -04:00
comfyanonymous
7985ff88b9
Use less memory in float8 lora patching by doing calculations in fp16.
2024-08-26 14:45:58 -04:00
patientx
58594a0b47
Merge branch 'comfyanonymous:master' into master
2024-08-26 14:29:57 +03:00
comfyanonymous
c6812947e9
Fix potential memory leak.
2024-08-26 02:07:32 -04:00
patientx
902d97af7d
Merge branch 'comfyanonymous:master' into master
2024-08-25 23:35:11 +03:00
comfyanonymous
9230f65823
Fix some controlnets OOMing when loading.
2024-08-25 05:54:29 -04:00
patientx
c60a87396b
Merge branch 'comfyanonymous:master' into master
2024-08-24 11:31:17 +03:00
comfyanonymous
8ae23d8e80
Fix onnx export.
2024-08-23 17:52:47 -04:00
patientx
134569ea48
Update model_management.py
2024-08-23 14:10:09 +03:00
patientx
c98e8a0a55
Merge branch 'comfyanonymous:master' into master
2024-08-23 12:31:51 +03:00
comfyanonymous
7df42b9a23
Fix dora.
2024-08-23 04:58:59 -04:00
comfyanonymous
5d8bbb7281
Cleanup.
2024-08-23 04:06:27 -04:00
patientx
9f87d61bfe
Merge branch 'comfyanonymous:master' into master
2024-08-23 11:04:56 +03:00
comfyanonymous
2c1d2375d6
Fix.
2024-08-23 04:04:55 -04:00
Simon Lui
64ccb3c7e3
Rework IPEX check for future inclusion of XPU into Pytorch upstream and do a bit more optimization of ipex.optimize(). ( #4562 )
2024-08-23 03:59:57 -04:00
Scorpinaus
9465b23432
Added SD15_Inpaint_Diffusers model support for unet_config_from_diffusers_unet function ( #4565 )
2024-08-23 03:57:08 -04:00
patientx
1ef90b7ac8
Merge branch 'comfyanonymous:master' into master
2024-08-23 00:55:19 +03:00
comfyanonymous
c0b0da264b
Missing imports.
2024-08-22 17:20:51 -04:00
comfyanonymous
c26ca27207
Move calculate function to comfy.lora
2024-08-22 17:12:00 -04:00
comfyanonymous
7c6bb84016
Code cleanups.
2024-08-22 17:05:12 -04:00
patientx
dec75f11e4
Merge branch 'comfyanonymous:master' into master
2024-08-22 23:36:58 +03:00
comfyanonymous
c54d3ed5e6
Fix issue with models staying loaded in memory.
2024-08-22 15:58:20 -04:00
comfyanonymous
c7ee4b37a1
Try to fix some lora issues.
2024-08-22 15:32:18 -04:00
David
7b70b266d8
Generalize MacOS version check for force-upcast-attention ( #4548 )
...
This code automatically forces upcasting attention for MacOS versions 14.5 and 14.6. My computer returns the string "14.6.1" for `platform.mac_ver()[0]`, so this generalizes the comparison to catch more versions.
I am running MacOS Sonoma 14.6.1 (latest version) and was seeing black image generation on previously functional workflows after recent software updates. This PR solved the issue for me.
See comfyanonymous/ComfyUI#3521
2024-08-22 13:24:21 -04:00
comfyanonymous
8f60d093ba
Fix issue.
2024-08-22 10:38:24 -04:00
patientx
0cd8a740bb
Merge branch 'comfyanonymous:master' into master
2024-08-22 14:01:42 +03:00
comfyanonymous
843a7ff70c
fp16 is actually faster than fp32 on a GTX 1080.
2024-08-21 23:23:50 -04:00
patientx
febf8601dc
Merge branch 'comfyanonymous:master' into master
2024-08-22 00:07:14 +03:00
comfyanonymous
a60620dcea
Fix slow performance on 10 series Nvidia GPUs.
2024-08-21 16:39:02 -04:00
comfyanonymous
015f73dc49
Try a different type of flux fp16 fix.
2024-08-21 16:17:15 -04:00
comfyanonymous
904bf58e7d
Make --fast work on pytorch nightly.
2024-08-21 14:01:41 -04:00
patientx
0774774bb9
Merge branch 'comfyanonymous:master' into master
2024-08-21 19:19:41 +03:00
Svein Ove Aas
5f50263088
Replace use of .view with .reshape ( #4522 )
...
When generating images with fp8_e4_m3 Flux and batch size >1, using --fast, ComfyUI throws a "view size is not compatible with input tensor's size and stride" error pointing at the first of these two calls to view.
As reshape is semantically equivalent to view except for working on a broader set of inputs, there should be no downside to changing this. The only difference is that it clones the underlying data in cases where .view would error out. I have confirmed that the output still looks as expected, but cannot confirm that no mutable use is made of the tensors anywhere.
Note that --fast is only marginally faster than the default.
2024-08-21 11:21:48 -04:00
patientx
ac75d4e4e0
Merge branch 'comfyanonymous:master' into master
2024-08-21 09:49:29 +03:00
