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Set httpcore version in requirements - fixes #4833
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Training fixes for MPS
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When saving training results with torch.save(), an exception is thrown:
"RuntimeError: Can't call numpy() on Tensor that requires grad. Use tensor.detach().numpy() instead."
So for MPS, check if Tensor.requires_grad and detach() if necessary.
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Improve InvokeAI cross attention reliability and speed when using MPS for large images
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Check if q.shape[0] * q.shape[1] is 2**18 or larger and use the lower memory usage MPS optimization if it is. This should prevent most crashes that were occurring at certain resolutions (e.g. 1024x1024, 2048x512, 512x2048).
Also included is a change to check slice_size and prevent it from being divisible by 4096 which also results in a crash. Otherwise a crash can occur at 1024x512 or 512x1024 resolution.
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fix hints file typo
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fix: xformers
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LDSR improvements - cache / optimization / opt_channelslast
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Fix token counter color on dark theme
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Fix WebUI not working inside of iframes
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This makes sure it will work everywhere
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aliencaocao/enable_checkpoint_switching_in_override_settings
Support changing checkpoint and vae through override_settings
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extensions section
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button.
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Add Clear Prompt button to roll_col
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Update SD Upscaler to include user selectable Scale Factor
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Atomically rename saved image to avoid race condition with other processes
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Update launch.py
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fix a typo
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allow randomized seeds in prompt_matrix
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Add option to avoid sending size between interfaces.
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add gradio queueing on ui by default to avoid timeout on client side when share=True
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Fix None option of VAE selector
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