comfyanonymous
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0ed72befe1
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Change log levels.
Logging level now defaults to info. --verbose sets it to debug.
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12 months ago |
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comfyanonymous
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65397ce601
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Replace prints with logging and add --verbose argument.
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12 months ago |
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comfyanonymous
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dce3555339
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Add some tesla pascal GPUs to the fp16 working but slower list.
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12 months ago |
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comfyanonymous
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88f300401c
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Enable fp16 by default on mps.
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1 year ago |
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comfyanonymous
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929e266f3e
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Manual cast for bf16 on older GPUs.
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1 year ago |
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comfyanonymous
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0b3c50480c
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Make --force-fp32 disable loading models in bf16.
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1 year ago |
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comfyanonymous
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f83109f09b
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Stable Cascade Stage C.
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1 year ago |
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comfyanonymous
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aeaeca10bd
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Small refactor of is_device_* functions.
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1 year ago |
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comfyanonymous
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66e28ef45c
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Don't use is_bf16_supported to check for fp16 support.
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1 year ago |
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comfyanonymous
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24129d78e6
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Speed up SDXL on 16xx series with fp16 weights and manual cast.
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1 year ago |
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comfyanonymous
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4b0239066d
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Always use fp16 for the text encoders.
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1 year ago |
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comfyanonymous
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f9e55d8463
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Only auto enable bf16 VAE on nvidia GPUs that actually support it.
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1 year ago |
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comfyanonymous
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1b103e0cb2
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Add argument to run the VAE on the CPU.
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1 year ago |
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comfyanonymous
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e1e322cf69
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Load weights that can't be lowvramed to target device.
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1 year ago |
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comfyanonymous
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a252963f95
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--disable-smart-memory now unloads everything like it did originally.
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1 year ago |
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comfyanonymous
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36a7953142
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Greatly improve lowvram sampling speed by getting rid of accelerate.
Let me know if this breaks anything.
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1 year ago |
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comfyanonymous
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2f9d6a97ec
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Add --deterministic option to make pytorch use deterministic algorithms.
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1 year ago |
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comfyanonymous
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b0aab1e4ea
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Add an option --fp16-unet to force using fp16 for the unet.
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1 year ago |
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comfyanonymous
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ba07cb748e
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Use faster manual cast for fp8 in unet.
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1 year ago |
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comfyanonymous
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57926635e8
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Switch text encoder to manual cast.
Use fp16 text encoder weights for CPU inference to lower memory usage.
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1 year ago |
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comfyanonymous
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340177e6e8
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Disable non blocking on mps.
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1 year ago |
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comfyanonymous
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9ac0b487ac
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Make --gpu-only put intermediate values in GPU memory instead of cpu.
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1 year ago |
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comfyanonymous
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2db86b4676
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Slightly faster lora applying.
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1 year ago |
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comfyanonymous
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ca82ade765
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Use .itemsize to get dtype size for fp8.
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1 year ago |
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comfyanonymous
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31b0f6f3d8
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UNET weights can now be stored in fp8.
--fp8_e4m3fn-unet and --fp8_e5m2-unet are the two different formats
supported by pytorch.
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1 year ago |
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comfyanonymous
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0cf4e86939
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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
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1 year ago |
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comfyanonymous
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7339479b10
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Disable xformers when it can't load properly.
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1 year ago |
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comfyanonymous
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dd4ba68b6e
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Allow different models to estimate memory usage differently.
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1 year ago |
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comfyanonymous
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8594c8be4d
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Empty the cache when torch cache is more than 25% free mem.
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1 year ago |
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comfyanonymous
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c8013f73e5
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Add some Quadro cards to the list of cards with broken fp16.
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1 year ago |
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comfyanonymous
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fd4c5f07e7
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Add a --bf16-unet to test running the unet in bf16.
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1 year ago |
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comfyanonymous
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9a55dadb4c
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Refactor code so model can be a dtype other than fp32 or fp16.
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1 year ago |
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comfyanonymous
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88733c997f
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pytorch_attention_enabled can now return True when xformers is enabled.
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1 year ago |
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comfyanonymous
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20d3852aa1
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Pull some small changes from the other repo.
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1 year ago |
Simon Lui
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eec449ca8e
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Allow Intel GPUs to LoRA cast on GPU since it supports BF16 natively.
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1 year ago |
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comfyanonymous
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1cdfb3dba4
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Only do the cast on the device if the device supports it.
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1 year ago |
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comfyanonymous
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321c5fa295
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Enable pytorch attention by default on xpu.
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1 year ago |
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comfyanonymous
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0966d3ce82
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Don't run text encoders on xpu because there are issues.
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1 year ago |
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comfyanonymous
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1938f5c5fe
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Add a force argument to soft_empty_cache to force a cache empty.
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1 year ago |
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Simon Lui
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4a0c4ce4ef
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Some fixes to generalize CUDA specific functionality to Intel or other GPUs.
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1 year ago |
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comfyanonymous
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b8c7c770d3
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Enable bf16-vae by default on ampere and up.
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2 years ago |
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comfyanonymous
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a57b0c797b
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Fix lowvram model merging.
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2 years ago |
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comfyanonymous
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f72780a7e3
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The new smart memory management makes this unnecessary.
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2 years ago |
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comfyanonymous
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30eb92c3cb
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Code cleanups.
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2 years ago |
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comfyanonymous
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51dde87e97
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Try to free enough vram for control lora inference.
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2 years ago |
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comfyanonymous
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cc44ade79e
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Always shift text encoder to GPU when the device supports fp16.
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2 years ago |
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comfyanonymous
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a6ef08a46a
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Even with forced fp16 the cpu device should never use it.
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2 years ago |
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comfyanonymous
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f081017c1a
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Save memory by storing text encoder weights in fp16 in most situations.
Do inference in fp32 to make sure quality stays the exact same.
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2 years ago |
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comfyanonymous
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0d7b0a4dc7
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Small cleanups.
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2 years ago |
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Simon Lui
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9225465975
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Further tuning and fix mem_free_total.
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2 years ago |