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145 Commits

Author SHA1 Message Date
comfyanonymous 258dbc06c3 Fix some memory related issues. 2024-04-14 12:08:58 -04:00
comfyanonymous 0a03009808 Fix issue with controlnet models getting loaded multiple times. 2024-04-06 18:38:39 -04:00
comfyanonymous 5d8898c056 Fix some performance issues with weight loading and unloading. 
Lower peak memory usage when changing model.

Fix case where model weights would be unloaded and reloaded.
 2024-03-28 18:04:42 -04:00
comfyanonymous c6de09b02e Optimize memory unload strategy for more optimized performance. 2024-03-24 02:36:30 -04:00
comfyanonymous 4b9005e949 Fix regression with model merging. 2024-03-20 13:56:12 -04:00
comfyanonymous c18a203a8a Don't unload model weights for non weight patches. 2024-03-20 02:27:58 -04:00
comfyanonymous db8b59ecff Lower memory usage for loras in lowvram mode at the cost of perf. 2024-03-13 20:07:27 -04:00
comfyanonymous 0ed72befe1 Change log levels. 
Logging level now defaults to info. --verbose sets it to debug.
 2024-03-11 13:54:56 -04:00
comfyanonymous 65397ce601 Replace prints with logging and add --verbose argument. 2024-03-10 12:14:23 -04:00
comfyanonymous dce3555339 Add some tesla pascal GPUs to the fp16 working but slower list. 2024-03-02 17:16:31 -05:00
comfyanonymous 88f300401c Enable fp16 by default on mps. 2024-02-19 12:00:48 -05:00
comfyanonymous 929e266f3e Manual cast for bf16 on older GPUs. 2024-02-17 09:01:17 -05:00
comfyanonymous 0b3c50480c Make --force-fp32 disable loading models in bf16. 2024-02-16 23:01:54 -05:00
comfyanonymous f83109f09b Stable Cascade Stage C. 2024-02-16 10:55:08 -05:00
comfyanonymous aeaeca10bd Small refactor of is_device_* functions. 2024-02-15 21:10:10 -05:00
comfyanonymous 66e28ef45c Don't use is_bf16_supported to check for fp16 support. 2024-02-04 20:53:35 -05:00
comfyanonymous 24129d78e6 Speed up SDXL on 16xx series with fp16 weights and manual cast. 2024-02-04 13:23:43 -05:00
comfyanonymous 4b0239066d Always use fp16 for the text encoders. 2024-02-02 10:02:49 -05:00
comfyanonymous f9e55d8463 Only auto enable bf16 VAE on nvidia GPUs that actually support it. 2024-01-15 03:10:22 -05:00
comfyanonymous 1b103e0cb2 Add argument to run the VAE on the CPU. 2023-12-30 05:49:07 -05:00
comfyanonymous e1e322cf69 Load weights that can't be lowvramed to target device. 2023-12-28 21:41:10 -05:00
comfyanonymous a252963f95 --disable-smart-memory now unloads everything like it did originally. 2023-12-23 04:25:06 -05:00
comfyanonymous 36a7953142 Greatly improve lowvram sampling speed by getting rid of accelerate. 
Let me know if this breaks anything.
 2023-12-22 14:38:45 -05:00
comfyanonymous 2f9d6a97ec Add --deterministic option to make pytorch use deterministic algorithms. 2023-12-17 16:59:21 -05:00
comfyanonymous b0aab1e4ea Add an option --fp16-unet to force using fp16 for the unet. 2023-12-11 18:36:29 -05:00
comfyanonymous ba07cb748e Use faster manual cast for fp8 in unet. 2023-12-11 18:24:44 -05:00
comfyanonymous 57926635e8 Switch text encoder to manual cast. 
Use fp16 text encoder weights for CPU inference to lower memory usage.
 2023-12-10 23:00:54 -05:00
comfyanonymous 340177e6e8 Disable non blocking on mps. 2023-12-10 01:30:35 -05:00
comfyanonymous 9ac0b487ac Make --gpu-only put intermediate values in GPU memory instead of cpu. 2023-12-08 02:35:45 -05:00
comfyanonymous 2db86b4676 Slightly faster lora applying. 2023-12-06 05:13:14 -05:00
comfyanonymous ca82ade765 Use .itemsize to get dtype size for fp8. 2023-12-04 11:52:06 -05:00
comfyanonymous 31b0f6f3d8 UNET weights can now be stored in fp8. 
--fp8_e4m3fn-unet and --fp8_e5m2-unet are the two different formats
supported by pytorch.
 2023-12-04 11:10:00 -05:00
comfyanonymous 0cf4e86939 Add some command line arguments to store text encoder weights in fp8. 
Pytorch supports two variants of fp8:
--fp8_e4m3fn-text-enc (the one that seems to give better results)
--fp8_e5m2-text-enc
 2023-11-17 02:56:59 -05:00
comfyanonymous 7339479b10 Disable xformers when it can't load properly. 2023-11-13 12:31:10 -05:00
comfyanonymous dd4ba68b6e Allow different models to estimate memory usage differently. 2023-11-12 04:03:52 -05:00
comfyanonymous 8594c8be4d Empty the cache when torch cache is more than 25% free mem. 2023-10-22 13:58:12 -04:00
comfyanonymous c8013f73e5 Add some Quadro cards to the list of cards with broken fp16. 2023-10-16 16:48:46 -04:00
comfyanonymous fd4c5f07e7 Add a --bf16-unet to test running the unet in bf16. 2023-10-13 14:51:10 -04:00
comfyanonymous 9a55dadb4c Refactor code so model can be a dtype other than fp32 or fp16. 2023-10-13 14:41:17 -04:00
comfyanonymous 88733c997f pytorch_attention_enabled can now return True when xformers is enabled. 2023-10-11 21:30:57 -04:00
comfyanonymous 20d3852aa1 Pull some small changes from the other repo. 2023-10-11 20:38:48 -04:00
Simon Lui eec449ca8e Allow Intel GPUs to LoRA cast on GPU since it supports BF16 natively. 2023-09-22 21:11:27 -07:00
comfyanonymous 1cdfb3dba4 Only do the cast on the device if the device supports it. 2023-09-20 17:52:41 -04:00
comfyanonymous 321c5fa295 Enable pytorch attention by default on xpu. 2023-09-17 04:09:19 -04:00
comfyanonymous 0966d3ce82 Don't run text encoders on xpu because there are issues. 2023-09-14 12:16:07 -04:00
comfyanonymous 1938f5c5fe Add a force argument to soft_empty_cache to force a cache empty. 2023-09-04 00:58:18 -04:00
Simon Lui 4a0c4ce4ef Some fixes to generalize CUDA specific functionality to Intel or other GPUs. 2023-09-02 18:22:10 -07:00
comfyanonymous b8c7c770d3 Enable bf16-vae by default on ampere and up. 2023-08-27 23:06:19 -04:00
comfyanonymous a57b0c797b Fix lowvram model merging. 2023-08-26 11:52:07 -04:00
comfyanonymous f72780a7e3 The new smart memory management makes this unnecessary. 2023-08-25 18:02:15 -04:00