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2023-01-27Merge branch 'AUTOMATIC1111:master' into masterIvan
2023-01-27clarify the option to disable NaN check.AUTOMATIC
2023-01-27support detecting midas modelAUTOMATIC
fix broken api for checkpoint list
2023-01-27remove the need to place configs near modelsAUTOMATIC
2023-01-26add an option to enable sections from extras tab in txt2img/img2imgAUTOMATIC
fix some style inconsistenices
2023-01-26Merge pull request #7234 from brkirch/fix-full-previewsAUTOMATIC1111
Fix full previews and--no-half-vae to work correctly with --upcast-sampling
2023-01-26Fix full previews, --no-half-vaebrkirch
2023-01-25fix prompt editing break after first batch in img2imgAUTOMATIC
2023-01-25add edit_image_conditioning from my earlier edits in case there's an attempt ↵AUTOMATIC
to inegrate pix2pix properly this allows to use pix2pix model in img2img though it won't work well this way
2023-01-25Merge pull request #7197 from mcmonkey4eva/fix-ti-symlinksAUTOMATIC1111
allow symlinks in the textual inversion embeddings folder
2023-01-25Merge pull request #7201 from brkirch/update-macos-defaultsAUTOMATIC1111
Update default Mac command line arguments to use --upcast-sampling instead of --no-half
2023-01-25Update arguments to use --upcast-samplingbrkirch
2023-01-25Fixed typoSpaceginner
2023-01-25even more clarifications(?)Spaceginner
i have no idea what commit message should be
2023-01-25some clarificationSpaceginner
2023-01-25Merge branch 'AUTOMATIC1111:master' into masterIvan
2023-01-25Remove a stacktrace from an assertion to not scare peopleSpaceginner
2023-01-25fix for unet hijack breaking the train tabAUTOMATIC
2023-01-25Merge branch 'AUTOMATIC1111:master' into masterIvan
2023-01-25Added Python version checkSpaceginner
2023-01-25make clicking extra networks button one more time close the extra networks UIAUTOMATIC
2023-01-25allow symlinks in the textual inversion embeddings folderAlex "mcmonkey" Goodwin
2023-01-25add pix2pix creditsAUTOMATIC
2023-01-25Merge pull request #6510 from brkirch/unet16-upcast-precisionAUTOMATIC1111
Add upcast options, full precision sampling from float16 UNet and upcasting attention for inference using SD 2.1 models without --no-half
2023-01-25Merge pull request #7138 from mykeehu/patch-4AUTOMATIC1111
Fix extra network thumbs label color
2023-01-25change to code for live preview fix on OSX to be bit more obviousAUTOMATIC
2023-01-25Merge pull request #7151 from brkirch/fix-approx-nnAUTOMATIC1111
Fix Approx NN previews changing first generation result
2023-01-25Merge pull request #7195 from Klace/instruct-pix2pix_model_loadAUTOMATIC1111
Add instruct-pix2pix hijack
2023-01-25Update requirements transformers==4.25.1Kyle
Update requirement for transformers to version 4.25.1 to allow instruct-pix2pix demo code to work
2023-01-25Add instruct-pix2pix hijackKyle
Allows loading instruct-pix2pix models via same method as inpainting models in sd_models.py and sd_hijack_ip2p.py Adds ddpm_edit.py necessary for instruct-pix2pix
2023-01-25Merge pull request #7146 from EllangoK/masterAUTOMATIC1111
Adds X/Y/Z Grid Script
2023-01-25add an experimental option to apply loras to outputs rather than inputsAUTOMATIC
2023-01-25Add UI setting for upcasting attention to float32brkirch
Adds "Upcast cross attention layer to float32" option in Stable Diffusion settings. This allows for generating images using SD 2.1 models without --no-half or xFormers. In order to make upcasting cross attention layer optimizations possible it is necessary to indent several sections of code in sd_hijack_optimizations.py so that a context manager can be used to disable autocast. Also, even though Stable Diffusion (and Diffusers) only upcast q and k, unfortunately my findings were that most of the cross attention layer optimizations could not function unless v is upcast also.
2023-01-25Add option for float32 sampling with float16 UNetbrkirch
This also handles type casting so that ROCm and MPS torch devices work correctly without --no-half. One cast is required for deepbooru in deepbooru_model.py, some explicit casting is required for img2img and inpainting. depth_model can't be converted to float16 or it won't work correctly on some systems (it's known to have issues on MPS) so in sd_models.py model.depth_model is removed for model.half().
2023-01-25remove the pip install stuff because it does not work as i hoped it wouldAUTOMATIC
2023-01-24add fastapi to requirementsAUTOMATIC
2023-01-24print progress when installing torchAUTOMATIC
add PIP_INSTALLER_LOCATION env var to install pip if it's not installed remove accidental call to accelerate when venv is disabled add another env var to skip venv - SKIP_VENV
2023-01-24remove fairscale requirement, add fake fairscale to make BLIP not complain ↵AUTOMATIC
about it mk2
2023-01-24remove fairscale requirement, add fake fairscale to make BLIP not complain ↵AUTOMATIC
about it
2023-01-24make git commands not fail for extensions when you have spaces in webui ↵AUTOMATIC
directory
2023-01-24swaps xyz axes internally if one costs moreEllangoK
2023-01-24handling sub grids and merging into oneEllangoK
2023-01-24implements most of xyz grid scriptEllangoK
2023-01-24renamed xy to xyz gridEllangoK
this is mostly just so git can detect it properly
2023-01-24also return the removed field to sdapi/v1/upscalers because someone might ↵AUTOMATIC
have relied on it existing
2023-01-24repair sdapi/v1/upscalers returning bogus resultsAUTOMATIC
2023-01-24Merge pull request #7140 from vladmandic/api-decode-imageAUTOMATIC1111
Add exception handling to API image decode
2023-01-24Merge pull request #7144 from catboxanon/swinir-interruptAUTOMATIC1111
Make SwinIR upscaler interruptible and skippable
2023-01-24Merge pull request #7148 from acncagua/improvement_launch.pyAUTOMATIC1111
Set Linux xformers 0.0.16RC425
2023-01-23Fix different first gen with Approx NN previewsbrkirch
The loading of the model for approx nn live previews can change the internal state of PyTorch, resulting in a different image. This can be avoided by preloading the approx nn model in advance.