- 15 Aug, 2023 3 commits
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AUTOMATIC1111 authoredUpdate SD XL commit hash 
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AUTOMATIC1111 authored
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AUTOMATIC1111 authored
 
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- 14 Aug, 2023 26 commits
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AUTOMATIC1111 authored
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AUTOMATIC1111 authoredFix typo in shared_options.py 
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AUTOMATIC1111 authoredseparate Extra options 
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brkirch authored
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w-e-w authored
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AUTOMATIC1111 authored
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AUTOMATIC1111 authored
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AUTOMATIC1111 authored
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AUTOMATIC1111 authored
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whitebell authoredunperdictable -> unpredictable 
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AUTOMATIC1111 authored
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AUTOMATIC1111 authoredAdd RES sampler and reorder the sampler list 
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AUTOMATIC1111 authoredFix MHA error with ex_bias and support ex_bias for layers which don't have bias 
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AUTOMATIC1111 authored
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Kohaku-Blueleaf authored
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Kohaku-Blueleaf authored
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AUTOMATIC1111 authored
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AUTOMATIC1111 authored
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Kohaku-Blueleaf authored
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Kohaku-Blueleaf authored
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Kohaku-Blueleaf authored
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AUTOMATIC1111 authored
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AUTOMATIC1111 authoredFixes for `git checkout`, MPS/macOS fixes and optimizations 
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AUTOMATIC1111 authoredFix typo in launch_utils.py 
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AUTOMATIC1111 authored
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Ikko Eltociear Ashimine authoredexistance -> existence 
 
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- 13 Aug, 2023 11 commits
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AUTOMATIC1111 authoredadd new callback for scripts to be used before processing 
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brkirch authored
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brkirch authored
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brkirch authored
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brkirch authored
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brkirch authored
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brkirch authoredFor MPS, using a tensor created with `torch.empty()` can cause `torch.baddbmm()` to include NaNs in the tensor it returns, even though `beta=0`. However, with a tensor of shape [1,1,1], there should be a negligible performance difference between `torch.empty()` and `torch.zeros()` anyway, so it's better to just use `torch.zeros()` for this and avoid unnecessarily creating issues. 
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brkirch authored
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brkirch authoredEven if this causes chunks to be much smaller, performance isn't significantly impacted. This will usually reduce memory usage but should also help with poor performance when free memory is low. 
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AUTOMATIC1111 authored
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AUTOMATIC1111 authoredSupport search and display of hashes for all extra network items 
 
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