Comments (5)
...have you checked pull request?
from stable-diffusion-webui.
I believe i did. But maybe i am being mistaken?
from stable-diffusion-webui.
Check pull request #15608. (KL Optimal scheduler)
from stable-diffusion-webui.
İ didnt know that "kl scheduler" included align your steps. The issue can be closed. Thank you
from stable-diffusion-webui.
İ didnt know that "kl scheduler" included align your steps. The issue can be closed. Thank you
To be clear, this PR doesn't actually include proper Align Your Steps support -- it includes the theoretically better derived scheduler, but doesn't include the option to use a trained timestep schedule which is the actual focus of the paper. I'm still experimenting with that part of the paper -- I don't really see a point in implementing it until I am able to actually reproduce the training code to create that schedule and thus reproduce the paper's findings, because until that happens it's hard to say how much AYS generalizes to different finetunes.
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Related Issues (20)
- [Bug]: Torch is not able to use GPU HOT 2
- [Bug]: RuntimeError: "slow_conv2d_cpu" not implemented for 'Half'
- [Bug]: error when i use the addetailer and the controlnet extension at the same time and with a batch count more than 1 HOT 3
- [Bug]: AttributeError: 'NoneType' object has no attribute 'lowvram' HOT 4
- [Bug]: Automatic1111 works extremelly slow if Silly Tavern is also running at the same time
- [Bug]: Installation failed on Windows 11 [False alarm, tried again and it worked] HOT 2
- [Bug]: soft_inpainting TypeError: Cannot convert a MPS Tensor to float64 dtype as the MPS framework doesn't support float64. Please use float32 instead.
- Ui "screwed" up in Networks Tabs
- [Bug]: Crash in _multiarray_umath.cp310-win_amd64.pyd when using Upscale or ADetailer HOT 1
- [Bug]: 'NoneType' object is not iterable HOT 2
- [Bug]: torch.cuda.is_available() = True RuntimeError: Torch is not able to use GPU; HOT 1
- [Bug]: Couldn't find python (launch.py and webui.py works well) HOT 3
- [Bug]: RuntimeError: The size of tensor a (64) must match the size of tensor b (100) at non-singleton dimension 3
- [Bug]: Error when using --precision full HOT 1
- [Bug]: Sudden multiple errors (on Automatic1111 v1.9.3) HOT 5
- [Bug]: Torch is not able to use GPU HOT 3
- [Bug]: I tried to run WebUI on Lightning AI HOT 8
- [Bug]: Hanging at "model loaded" HOT 1
- [Feature Request]: Option to save original mask image when inpainting
- [Feature Request]: dedicated dark mode needed HOT 2
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