098a352f13
Add warning for torch-directml usage ( #10482 )
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Added a warning message about the state of torch-directml.
2025-10-25 20:05:22 -04:00
426cde37f1
Remove useless function ( #10472 )
2025-10-24 19:56:51 -04:00
9cdc64998f
Only disable cudnn on newer AMD GPUs. ( #10437 )
2025-10-21 19:15:23 -04:00
2c2aa409b0
Log message for cudnn disable on AMD. ( #10418 )
2025-10-20 15:43:24 -04:00
5b80addafd
Turn off cuda malloc by default when --fast autotune is turned on. ( #10393 )
2025-10-18 22:35:46 -04:00
1c10b33f9b
gfx942 doesn't support fp8 operations. ( #10348 )
2025-10-15 00:21:11 -04:00
c8674bc6e9
Enable RDNA4 pytorch attention on ROCm 7.0 and up. ( #10332 )
2025-10-13 21:19:03 -04:00
a125cd84b0
Improve AMD performance. ( #10302 )
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I honestly have no idea why this improves things but it does.
2025-10-12 00:28:01 -04:00
c8d2117f02
Fix memory leak by properly detaching model finalizer ( #9979 )
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When unloading models in load_models_gpu(), the model finalizer was not
being explicitly detached, leading to a memory leak. This caused
linear memory consumption increase over time as models are repeatedly
loaded and unloaded.
This change prevents orphaned finalizer references from accumulating in
memory during model switching operations.
2025-09-24 22:35:12 -04:00
8d6653fca6
Enable fp8 ops by default on gfx1200 ( #9926 )
2025-09-18 19:50:37 -04:00
fb763d4333
Fix amd_min_version crash when cpu device. ( #9754 )
2025-09-07 21:16:29 -04:00
bcbd7884e3
Don't enable pytorch attention on AMD if triton isn't available. ( #9747 )
2025-09-07 00:29:38 -04:00
27a0fcccc3
Enable bf16 VAE on RDNA4. ( #9746 )
2025-09-06 23:25:22 -04:00
0963493a9c
Support for Qwen Diffsynth Controlnets canny and depth. ( #9465 )
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These are not real controlnets but actually a patch on the model so they
will be treated as such.
Put them in the models/model_patches/ folder.
Use the new ModelPatchLoader and QwenImageDiffsynthControlnet nodes.
2025-08-20 22:26:37 -04:00
c991a5da65
Fix XPU iGPU regressions ( #9322 )
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* Change bf16 check and switch non-blocking to off default with option to force to regain speed on certain classes of iGPUs and refactor xpu check.
* Turn non_blocking off by default for xpu.
* Update README.md for Intel GPUs.
2025-08-13 19:13:35 -04:00
5828607ccf
Not sure if AMD actually support fp16 acc but it doesn't crash. ( #9258 )
2025-08-09 12:49:25 -04:00
735bb4bdb1
Users report gfx1201 is buggy on flux with pytorch attention. ( #9244 )
2025-08-08 04:21:00 -04:00
7d593baf91
Extra reserved vram on large cards on windows. ( #9093 )
2025-07-29 04:07:45 -04:00
69cb57b342
Print xpu device name. ( #9035 )
2025-07-24 15:06:25 -04:00
0ccc88b03f
Support Iluvatar CoreX ( #8585 )
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* Support Iluvatar CoreX
Co-authored-by: mingjiang.li <mingjiang.li@iluvatar.com >
2025-07-24 13:57:36 -04:00
d3504e1778
Enable pytorch attention by default for gfx1201 on torch 2.8 ( #9029 )
2025-07-23 19:21:29 -04:00
a86a58c308
Fix xpu function not implemented p2. ( #9027 )
2025-07-23 18:18:20 -04:00
39dda1d40d
Fix xpu function not implemented. ( #9026 )
2025-07-23 18:10:59 -04:00
5ad33787de
Add default device argument. ( #9023 )
2025-07-23 14:20:49 -04:00
255f139863
Add xpu version for async offload and some other things. ( #9004 )
2025-07-22 15:20:09 -04:00
a96e65df18
Disable omnigen2 fp16 on older pytorch versions. ( #8672 )
2025-06-26 03:39:09 -04:00
6e28a46454
Apple most likely is never fixing the fp16 attention bug. ( #8485 )
2025-06-10 13:06:24 -04:00
7f800d04fa
Enable AMD fp8 and pytorch attention on some GPUs. ( #8474 )
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Information is from the pytorch source code.
2025-06-09 12:50:39 -04:00
97755eed46
Enable fp8 ops by default on gfx1201 ( #8464 )
2025-06-08 14:15:34 -04:00
daf9d25ee2
Cleaner torch version comparisons. ( #8453 )
2025-06-07 10:01:15 -04:00
704fc78854
Put ROCm version in tuple to make it easier to enable stuff based on it. ( #8348 )
2025-05-30 15:41:02 -04:00
89a84e32d2
Disable initial GPU load when novram is used. ( #8294 )
2025-05-26 16:39:27 -04:00
e5799c4899
Enable pytorch attention by default on AMD gfx1151 ( #8282 )
2025-05-26 04:29:25 -04:00
0b50d4c0db
Add argument to explicitly enable fp8 compute support. ( #8257 )
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This can be used to test if your current GPU/pytorch version supports fp8 matrix mult in combination with --fast or the fp8_e4m3fn_fast dtype.
2025-05-23 17:43:50 -04:00
0a66d4b0af
Per device stream counters for async offload. ( #7873 )
2025-04-29 20:28:52 -04:00
5a50c3c7e5
Fix stream priority to support older pytorch. ( #7856 )
2025-04-28 13:07:21 -04:00
c8cd7ad795
Use stream for casting if enabled. ( #7833 )
2025-04-27 05:38:11 -04:00
0dcc75ca54
Add experimental --async-offload lowvram weight offloading. ( #7820 )
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This should speed up the lowvram mode a bit. It currently is only enabled when --async-offload is used but it will be enabled by default in the future if there are no problems.
2025-04-26 16:11:21 -04:00
2d6805ce57
Add option for using fp8_e8m0fnu for model weights. ( #7733 )
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Seems to break every model I have tried but worth testing?
2025-04-22 06:17:38 -04:00
2222cf67fd
MLU memory optimization ( #7470 )
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Co-authored-by: huzhan <huzhan@cambricon.com >
2025-04-02 19:24:04 -04:00
301e26b131
Add option to store TE in bf16 ( #7461 )
2025-04-01 13:48:53 -04:00
8edc1f44c1
Support more float8 types.
2025-03-25 05:23:49 -04:00
7aceb9f91c
Add --use-flash-attention flag. ( #7223 )
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* Add --use-flash-attention flag.
This is useful on AMD systems, as FA builds are still 10% faster than Pytorch cross-attention.
2025-03-14 03:22:41 -04:00
35504e2f93
Fix.
2025-03-13 15:03:18 -04:00
299436cfed
Print mac version.
2025-03-13 10:05:40 -04:00
0952569493
Fix stable cascade VAE on some lowvram machines.
2025-03-08 20:24:04 -05:00
4d55f16ae8
Use enum list for --fast options ( #7024 )
2025-03-01 02:37:35 -05:00
cf0b549d48
--fast now takes a number as argument to indicate how fast you want it.
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The idea is that you can indicate how much quality vs speed you want.
At the moment:
--fast 2 enables fp16 accumulation if your pytorch supports it.
--fast 5 enables fp8 matrix mult on fp8 models and the optimization above.
--fast without a number enables all optimizations.
2025-02-28 02:48:20 -05:00
eb4543474b
Use fp16 for intermediate for fp8 weights with --fast if supported.
2025-02-28 02:17:50 -05:00
1804397952
Use fp16 if checkpoint weights are fp16 and the model supports it.
2025-02-27 16:39:57 -05:00
