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2023-04-06Add support for saving init images in img2imgFor Sure
2023-03-28Revert "Merge pull request #7931 from space-nuko/img2img-enhance"AUTOMATIC
This reverts commit 426875937048e21305ac24bea53df06523bdaa81, reversing changes made to 1b63afbedc7789c0eb9a4742b780ab304d7a9caf.
2023-03-28Merge pull request #7931 from space-nuko/img2img-enhanceAUTOMATIC1111
Add `Upscale by` and `Upscaler` options to img2img
2023-03-28Merge pull request #8958 from MrCheeze/variations-modelAUTOMATIC1111
Add support for the unclip (Variations) models, unclip-h and unclip-l
2023-03-25Add support for the Variations models (unclip-h and unclip-l)MrCheeze
2023-03-25Add upscaler to img2imgspace-nuko
2023-03-25Add upscale slider to img2imgspace-nuko
2023-03-22Expose inpainting mask and compositecatboxanon
For inpainting, this exposes the mask and masked composite and gives the user the ability to display these in the web UI, save to disk, or both.
2023-03-13initialize extra_network_data before usehigh_byte
2023-03-11Merge pull request #8017 from space-nuko/before-process-batchAUTOMATIC1111
Add `before_process_batch` script callback
2023-03-10Merge remote-tracking branch 'origin/master' into unipcspace-nuko
2023-02-22Add before_process_batch script callbackspace-nuko
2023-02-19fix the a merge conflict resolve i did that entirely breaks image generationAUTOMATIC
2023-02-19Merge branch 'master' into fix-save-params-2AUTOMATIC1111
2023-02-16Fix params.txt saving for infotexts modified by process_batchspace-nuko
2023-02-13Apply extra networks per-batch instead of per-session (fixes wildcards)space-nuko
2023-02-10bug fixspace-nuko
2023-02-10UniPC does not support img2img (for now)space-nuko
2023-02-10Working UniPC (for batch size 1)space-nuko
2023-02-03txt2img Hires FixKyle
2023-02-03Image CFG Added (Full Implementation)Kyle
Uses separate denoiser for edit (instruct-pix2pix) models No impact to txt2img or regular img2img "Image CFG Scale" will only apply to instruct-pix2pix models and metadata will only be added if using such model
2023-02-02Processing only, no CFGDenoiser changeKyle
Allows instruct-pix2pix
2023-02-02Revert "instruct-pix2pix support"Kyle
This reverts commit 269833067de1e7d0b6a6bd65724743d6b88a133f.
2023-02-02instruct-pix2pix supportKyle
2023-01-30make the program read Eta and Eta DDIM from generation parametersAUTOMATIC
2023-01-29remove Batch size and Batch pos from textinfo (goodbye)AUTOMATIC
2023-01-28Merge pull request #7309 from brkirch/fix-embeddingsAUTOMATIC1111
Fix embeddings, upscalers, and refactor `--upcast-sampling`
2023-01-28Refactor conditional casting, fix upscalersbrkirch
2023-01-27add data-dir flag and set all user data directories based on itMax Audron
2023-01-26add an option to enable sections from extras tab in txt2img/img2imgAUTOMATIC
fix some style inconsistenices
2023-01-26Fix full previews, --no-half-vaebrkirch
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 #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
2023-01-25change to code for live preview fix on OSX to be bit more obviousAUTOMATIC
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().
2023-01-23Fix 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.
2023-01-22enable compact view for train tabAUTOMATIC
prevent previews from ruining hypernetwork training
2023-01-21extract extra network data from prompt earlierAUTOMATIC
2023-01-21make it so that extra networks are not removed from infotextAUTOMATIC
2023-01-21extra networks UIAUTOMATIC
rework of hypernets: rather than via settings, hypernets are added directly to prompt as <hypernet:name:weight>
2023-01-18Merge pull request #6854 from EllangoK/masterAUTOMATIC1111
Saves Extra Generation Parameters to params.txt
2023-01-18use DDIM in hires fix is the sampler is PLMSAUTOMATIC
2023-01-17Changed params.txt save to after manual init callEllangoK
2023-01-16make StableDiffusionProcessing class not hold a reference to shared.sd_model ↵AUTOMATIC
object
2023-01-16Add a check and explanation for tensor with all NaNs.AUTOMATIC
2023-01-14change hypernets to use sha256 hashesAUTOMATIC
2023-01-12Fix extension parameters not being saved to last used parametersspace-nuko
2023-01-09add an option to use old hiresfix width/height behaviorAUTOMATIC
add a visual effect to inactive hires fix elements
2023-01-07Merge branch 'AUTOMATIC1111:master' into img2img-api-scriptsnoodleanon
generated by cgit v1.2.1 (git 2.18.0) at 2024-09-20 17:55:46 +0000