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8773ccf74d
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242 Commits

Author SHA1 Message Date
comfyanonymous
8773ccf74d Better memory estimation for ROCm that support mem efficient attention. 
There is no way to check if the card actually supports it so it assumes
that it does if you use --use-pytorch-cross-attention with yours.
 2025-02-13 08:32:36 -05:00
comfyanonymous
1d5d6586f3 Fix ruff. 2025-02-12 06:49:16 -05:00
zhoufan2956
35740259de
mix_ascend_bf16_infer_err (#6794) 2025-02-12 06:48:11 -05:00
HishamC
b124256817
Fix for running via DirectML (#6542) 
* Fix for running via DirectML

Fix DirectML empty image generation issue with Flux1. add CPU fallback for unsupported path. Verified the model works on AMD GPUs

* fix formating

* update casual mask calculation
 2025-02-11 17:11:32 -05:00
comfyanonymous
af4b7c91be Make --force-fp16 actually force the diffusion model to be fp16. 2025-02-11 08:33:09 -05:00
catboxanon
43a74c0de1
Allow FP16 accumulation with --fast (#6453) 
Currently only applies to PyTorch nightly releases. (>=20250208)
 2025-02-08 17:00:56 -05:00
comfyanonymous
255edf2246 Lower minimum ratio of loaded weights on Nvidia. 2025-01-27 05:26:51 -05:00
comfyanonymous
67feb05299 Remove redundant code. 2025-01-25 19:04:53 -05:00
comfyanonymous
d45ebb63f6 Remove old unused function. 2025-01-04 07:20:54 -05:00
comfyanonymous
9e9c8a1c64 Clear cache as often on AMD as Nvidia. 
I think the issue this was working around has been solved.

If you notice that this change slows things down or causes stutters on
your AMD GPU with ROCm on Linux please report it.
 2025-01-02 08:44:16 -05:00
comfyanonymous
160ca08138 Use python 3.9 in launch test instead of 3.8 
Fix ruff check.
 2024-12-26 20:05:54 -05:00
Huazhong Ji
c4bfdba330
Support ascend npu (#5436) 
* support ascend npu

Co-authored-by: YukMingLaw <lymmm2@163.com>
Co-authored-by: starmountain1997 <guozr1997@hotmail.com>
Co-authored-by: Ginray <ginray0215@gmail.com>
 2024-12-26 19:36:50 -05:00
comfyanonymous
19a64d6291 Cleanup some mac related code. 2024-12-25 05:32:51 -05:00
comfyanonymous
b486885e08 Disable bfloat16 on older mac. 2024-12-25 05:18:50 -05:00
comfyanonymous
0229228f3f Clean up the VAE dtypes code. 2024-12-25 04:50:34 -05:00
comfyanonymous
15564688ed Add a try except block so if torch version is weird it won't crash. 2024-12-23 03:22:48 -05:00
Simon Lui
c6b9c11ef6
Add oneAPI device selector for xpu and some other changes. (#6112) 
* Add oneAPI device selector and some other minor changes.

* Fix device selector variable name.

* Flip minor version check sign.

* Undo changes to README.md.
 2024-12-23 03:18:32 -05:00
comfyanonymous
e44d0ac7f7 Make --novram completely offload weights. 
This flag is mainly used for testing the weight offloading, it shouldn't
actually be used in practice.

Remove useless import.
 2024-12-23 01:51:08 -05:00
comfyanonymous
57f330caf9 Relax minimum ratio of weights loaded in memory on nvidia. 
This should make it possible to do higher res images/longer videos by
further offloading weights to CPU memory.

Please report an issue if this slows down things on your system.
 2024-12-22 03:06:37 -05:00
Chenlei Hu
d7969cb070
Replace print with logging (#6138) 
* Replace print with logging

* nit

* nit

* nit

* nit

* nit

* nit
 2024-12-20 16:24:55 -05:00
comfyanonymous
2dda7c11a3 More proper fix for the memory issue. 2024-12-19 16:21:56 -05:00
comfyanonymous
3ad3248ad7 Fix lowvram bug when using a model multiple times in a row. 
The memory system would load an extra 64MB each time until either the
model was completely in memory or OOM.
 2024-12-19 16:04:56 -05:00
comfyanonymous
37e5390f5f Add: --use-sage-attention to enable SageAttention. 
You need to have the library installed first.
 2024-12-18 01:56:10 -05:00
Chenlei Hu
d9d7f3c619
Lint all unused variables (#5989) 
* Enable F841

* Autofix

* Remove all unused variable assignment
 2024-12-12 17:59:16 -05:00
comfyanonymous
fd5dfb812c Set initial load devices for te and model to mps device on mac. 2024-12-12 06:00:31 -05:00
comfyanonymous
57e8bf6a9f Fix case where a memory leak could cause crash. 
Now the only symptom of code messing up and keeping references to a model
object when it should not will be endless prints in the log instead of the
next workflow crashing ComfyUI.
 2024-12-02 19:49:49 -05:00
comfyanonymous
79d5ceae6e
Improved memory management. (#5450) 
* Less fragile memory management.

* Fix issue.

* Remove useless function.

* Prevent and detect some types of memory leaks.

* Run garbage collector when switching workflow if needed.

* Fix issue.
 2024-12-02 14:39:34 -05:00
comfyanonymous
61196d8857 Add option to inference the diffusion model in fp32 and fp64. 2024-11-25 05:00:23 -05:00
comfyanonymous
1af4a47fd1 Bump up mac version for attention upcast bug workaround. 2024-10-31 15:15:31 -04:00
comfyanonymous
471cd3eace fp8 casting is fast on GPUs that support fp8 compute. 2024-10-20 00:54:47 -04:00
comfyanonymous
67158994a4 Use the lowvram cast_to function for everything. 2024-10-17 17:25:56 -04:00
Jonathan Avila
4b2f0d9413
Increase maximum macOS version to 15.0.1 when forcing upcast attention (#5191) 2024-10-09 22:21:41 -04:00
comfyanonymous
e38c94228b Add a weight_dtype fp8_e4m3fn_fast to the Diffusion Model Loader node. 
This is used to load weights in fp8 and use fp8 matrix multiplication.
 2024-10-09 19:43:17 -04:00
comfyanonymous
dc96a1ae19 Load controlnet in fp8 if weights are in fp8. 2024-09-21 04:50:12 -04:00
Simon Lui
de8e8e3b0d
Fix xpu Pytorch nightly build from calling optimize which doesn't exist. (#4978) 2024-09-19 05:11:42 -04:00
comfyanonymous
c7427375ee Prioritize freeing partially offloaded models first. 2024-09-04 19:47:32 -04:00
comfyanonymous
8d31a6632f Speed up inference on nvidia 10 series on Linux. 2024-09-01 17:29:31 -04:00
comfyanonymous
b643eae08b Make minimum_inference_memory() depend on --reserve-vram 2024-09-01 01:18:34 -04:00
comfyanonymous
935ae153e1 Cleanup. 2024-08-30 12:53:59 -04:00
comfyanonymous
38c22e631a Fix case where model was not properly unloaded in merging workflows. 2024-08-27 19:03:51 -04:00
comfyanonymous
5d8bbb7281 Cleanup. 2024-08-23 04:06:27 -04:00
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
comfyanonymous
7c6bb84016 Code cleanups. 2024-08-22 17:05:12 -04:00
comfyanonymous
c54d3ed5e6 Fix issue with models staying loaded in memory. 2024-08-22 15:58:20 -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
843a7ff70c fp16 is actually faster than fp32 on a GTX 1080. 2024-08-21 23:23:50 -04:00
comfyanonymous
a60620dcea Fix slow performance on 10 series Nvidia GPUs. 2024-08-21 16:39:02 -04:00
comfyanonymous
03ec517afb Remove useless line, adjust windows default reserved vram. 2024-08-21 00:47:19 -04:00
comfyanonymous
9953f22fce Add --fast argument to enable experimental optimizations. 
Optimizations that might break things/lower quality will be put behind
this flag first and might be enabled by default in the future.

Currently the only optimization is float8_e4m3fn matrix multiplication on
4000/ADA series Nvidia cards or later. If you have one of these cards you
will see a speed boost when using fp8_e4m3fn flux for example.
 2024-08-20 11:55:51 -04:00