kosinkadink1@gmail.com
0336b0ace8
Merge branch 'master' into worksplit-multigpu
2025-06-01 02:39:26 -07:00
comfyanonymous
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
comfyanonymous
89a84e32d2
Disable initial GPU load when novram is used. ( #8294 )
2025-05-26 16:39:27 -04:00
comfyanonymous
e5799c4899
Enable pytorch attention by default on AMD gfx1151 ( #8282 )
2025-05-26 04:29:25 -04:00
comfyanonymous
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
Jedrzej Kosinski
9726eac475
Merge branch 'master' into worksplit-multigpu
2025-05-12 19:29:13 -05:00
comfyanonymous
0a66d4b0af
Per device stream counters for async offload. ( #7873 )
2025-04-29 20:28:52 -04:00
comfyanonymous
5a50c3c7e5
Fix stream priority to support older pytorch. ( #7856 )
2025-04-28 13:07:21 -04:00
comfyanonymous
c8cd7ad795
Use stream for casting if enabled. ( #7833 )
2025-04-27 05:38:11 -04:00
comfyanonymous
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
Jedrzej Kosinski
272e8d42c1
Merge branch 'master' into worksplit-multigpu
2025-04-22 22:40:00 -05:00
comfyanonymous
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
Jedrzej Kosinski
8be711715c
Make unload_all_models account for all devices
2025-04-19 17:35:54 -05:00
Jedrzej Kosinski
2fa9affcc1
Merge branch 'master' into worksplit-multigpu
2025-04-08 22:52:17 -05:00
BiologicalExplosion
2222cf67fd
MLU memory optimization ( #7470 )
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Co-authored-by: huzhan <huzhan@cambricon.com>
2025-04-02 19:24:04 -04:00
BVH
301e26b131
Add option to store TE in bf16 ( #7461 )
2025-04-01 13:48:53 -04:00
Jedrzej Kosinski
a786ce5ead
Merge branch 'master' into worksplit-multigpu
2025-03-26 22:26:26 -05:00
comfyanonymous
8edc1f44c1
Support more float8 types.
2025-03-25 05:23:49 -04:00
Jedrzej Kosinski
219d3cd0d0
Merge branch 'master' into worksplit-multigpu
2025-03-17 14:26:35 -05:00
FeepingCreature
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
Jedrzej Kosinski
cc928a786d
Merge branch 'master' into worksplit-multigpu
2025-03-13 20:59:11 -05:00
comfyanonymous
35504e2f93
Fix.
2025-03-13 15:03:18 -04:00
comfyanonymous
299436cfed
Print mac version.
2025-03-13 10:05:40 -04:00
Jedrzej Kosinski
6e144b98c4
Merge branch 'master' into worksplit-multigpu
2025-03-09 00:00:38 -06:00
comfyanonymous
0952569493
Fix stable cascade VAE on some lowvram machines.
2025-03-08 20:24:04 -05:00
Jedrzej Kosinski
6dca17bd2d
Satisfy ruff linting
2025-03-03 23:08:29 -06:00
Jedrzej Kosinski
5080105c23
Merge branch 'master' into worksplit-multigpu
2025-03-03 22:56:53 -06:00
Jedrzej Kosinski
093914a247
Made MultiGPU Work Units node more robust by forcing ModelPatcher clones to match at sample time, reuse loaded MultiGPU clones, finalize MultiGPU Work Units node ID and name, small refactors/cleanup of logging and multigpu-related code
2025-03-03 22:56:13 -06:00
Chenlei Hu
4d55f16ae8
Use enum list for --fast options ( #7024 )
2025-03-01 02:37:35 -05:00
comfyanonymous
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
comfyanonymous
eb4543474b
Use fp16 for intermediate for fp8 weights with --fast if supported.
2025-02-28 02:17:50 -05:00
comfyanonymous
1804397952
Use fp16 if checkpoint weights are fp16 and the model supports it.
2025-02-27 16:39:57 -05:00
BiologicalExplosion
89253e9fe5
Support Cambricon MLU ( #6964 )
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Co-authored-by: huzhan <huzhan@cambricon.com>
2025-02-26 20:45:13 -05:00
Jedrzej Kosinski
605893d3cf
Merge branch 'master' into worksplit-multigpu
2025-02-24 19:23:16 -06:00
comfyanonymous
96d891cb94
Speedup on some models by not upcasting bfloat16 to float32 on mac.
2025-02-24 05:41:32 -05:00
comfyanonymous
ace899e71a
Prioritize fp16 compute when using allow_fp16_accumulation
2025-02-23 04:45:54 -05:00
comfyanonymous
072db3bea6
Assume the mac black image bug won't be fixed before v16.
2025-02-21 20:24:07 -05:00
comfyanonymous
a6deca6d9a
Latest mac still has the black image bug.
2025-02-21 20:14:30 -05:00
comfyanonymous
41c30e92e7
Let all model memory be offloaded on nvidia.
2025-02-21 06:32:21 -05:00
comfyanonymous
12da6ef581
Apparently directml supports fp16.
2025-02-20 09:30:24 -05:00
comfyanonymous
b07258cef2
Fix typo.
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Let me know if this slows things down on 2000 series and below.
2025-02-18 07:28:33 -05:00
Jedrzej Kosinski
048f4f0b3a
Merge branch 'master' into worksplit-multigpu
2025-02-17 19:35:58 -06:00
comfyanonymous
31e54b7052
Improve AMD arch detection.
2025-02-17 04:53:40 -05:00
comfyanonymous
8c0bae50c3
bf16 manual cast works on old AMD.
2025-02-17 04:42:40 -05:00
comfyanonymous
530412cb9d
Refactor torch version checks to be more future proof.
2025-02-17 04:36:45 -05:00
comfyanonymous
e2919d38b4
Disable bf16 on AMD GPUs that don't support it.
2025-02-16 05:46:10 -05:00
comfyanonymous
1cd6cd6080
Disable pytorch attention in VAE for AMD.
2025-02-14 05:42:14 -05:00
comfyanonymous
d7b4bf21a2
Auto enable mem efficient attention on gfx1100 on pytorch nightly 2.7
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I'm not not sure which arches are supported yet. If you see improvements in
memory usage while using --use-pytorch-cross-attention on your AMD GPU let
me know and I will add it to the list.
2025-02-14 04:18:14 -05:00
comfyanonymous
8773ccf74d
Better memory estimation for ROCm that support mem efficient attention.
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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
