w-e-w
0d1ef296b9
checkpoint override enhancement
2023-05-01 05:22:53 +09:00
AUTOMATIC1111
e7d624574d
Merge branch 'dev' into master
2023-04-29 16:41:01 +03:00
AUTOMATIC
7428fb5176
add is_hr_pass field for processing
2023-04-29 16:28:51 +03:00
AUTOMATIC
1d11e89698
rework Negative Guidance minimum sigma to work with AND, add infotext and copypaste parameters support
2023-04-29 15:57:09 +03:00
AUTOMATIC1111
3591eefedf
Merge pull request #9177 from devNegative-asm/master
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(Optimization) Option to remove negative conditioning at low sigma values
2023-04-29 14:38:25 +03:00
AUTOMATIC1111
32c3b97669
Merge pull request #9628 from catboxanon/patch/9092
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Fix image mask/composite for weird resolutions
2023-04-29 13:21:32 +03:00
AUTOMATIC1111
d6a3988b86
Merge pull request #9669 from catboxanon/patch/sampler-schedule-fix
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Fix prompt schedule for second order samplers
2023-04-29 12:56:57 +03:00
AUTOMATIC
5fe0dd79be
rename CPU RNG to RNG source in settings, add infotext and parameters copypaste support to RNG source
2023-04-29 11:29:37 +03:00
catboxanon
9de7298898
Update processing.py
2023-04-16 21:06:37 -04:00
catboxanon
4d0c816303
Modify step multiplier flow
2023-04-16 20:39:45 -04:00
catboxanon
56f8a6b081
Fix sampler schedules with step multiplier
2023-04-16 20:34:52 -04:00
catboxanon
fbab3fc6d1
Only handle image mask if any option enabled
2023-04-14 17:24:55 -04:00
catboxanon
3af152d488
Fix image mask composite for weird resolutions
2023-04-14 17:17:14 -04:00
gk
d609f6030e
Add [batch_number] and [generation_number] filename patterns
2023-04-07 21:04:46 +09:00
For Sure
b3593d0997
Add support for saving init images in img2img
2023-04-06 19:42:26 +03:00
devdn
42082e8a32
performance increase
2023-03-28 20:56:01 -04:00
AUTOMATIC
433b3ab701
Revert "Merge pull request #7931 from space-nuko/img2img-enhance"
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This reverts commit 4268759370
, reversing
changes made to 1b63afbedc
.
2023-03-28 20:36:57 +03:00
AUTOMATIC1111
4268759370
Merge pull request #7931 from space-nuko/img2img-enhance
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Add `Upscale by` and `Upscaler` options to img2img
2023-03-28 20:21:25 +03:00
AUTOMATIC1111
f1db987e6a
Merge pull request #8958 from MrCheeze/variations-model
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Add support for the unclip (Variations) models, unclip-h and unclip-l
2023-03-28 19:39:20 +03:00
MrCheeze
8a34671fe9
Add support for the Variations models (unclip-h and unclip-l)
2023-03-25 21:03:07 -04:00
space-nuko
7ea5d395c4
Add upscaler to img2img
2023-03-25 12:52:43 -04:00
space-nuko
68999d0b15
Add upscale slider to img2img
2023-03-25 12:52:35 -04:00
catboxanon
caf84e8233
Expose inpainting mask and composite
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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.
2023-03-22 17:51:40 +00:00
high_byte
4d26c7da57
initialize extra_network_data before use
2023-03-13 17:37:29 +02:00
AUTOMATIC1111
da3f942ab2
Merge pull request #8017 from space-nuko/before-process-batch
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Add `before_process_batch` script callback
2023-03-11 14:33:38 +03:00
space-nuko
ac38ad7e60
Merge remote-tracking branch 'origin/master' into unipc
2023-03-10 19:42:46 -05:00
space-nuko
a2d635ad13
Add before_process_batch script callback
2023-02-22 01:52:53 -08:00
AUTOMATIC
15f4b217b1
fix the a merge conflict resolve i did that entirely breaks image generation
2023-02-19 09:50:14 +03:00
AUTOMATIC1111
6911deb242
Merge branch 'master' into fix-save-params-2
2023-02-19 09:15:45 +03:00
space-nuko
b20737815a
Fix params.txt saving for infotexts modified by process_batch
2023-02-16 21:44:46 -08:00
space-nuko
0a4917ac40
Apply extra networks per-batch instead of per-session (fixes wildcards)
2023-02-13 03:33:28 -08:00
space-nuko
fb274229b2
bug fix
2023-02-10 14:30:35 -08:00
space-nuko
c88dcc20d4
UniPC does not support img2img (for now)
2023-02-10 05:00:54 -08:00
space-nuko
1253199889
Working UniPC (for batch size 1)
2023-02-10 03:30:20 -08:00
Kyle
c27c0de0f7
txt2img Hires Fix
2023-02-03 19:15:32 -05:00
Kyle
6c6c6636bb
Image CFG Added (Full Implementation)
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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
2023-02-03 18:19:56 -05:00
Kyle
3b2ad20ac1
Processing only, no CFGDenoiser change
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Allows instruct-pix2pix
2023-02-02 19:19:45 -05:00
Kyle
cf0cfefe91
Revert "instruct-pix2pix support"
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This reverts commit 269833067d
.
2023-02-02 19:15:38 -05:00
Kyle
269833067d
instruct-pix2pix support
2023-02-02 09:37:01 -05:00
AUTOMATIC
040ec7a80e
make the program read Eta and Eta DDIM from generation parameters
2023-01-30 10:47:09 +03:00
AUTOMATIC
00dab8f10d
remove Batch size and Batch pos from textinfo (goodbye)
2023-01-29 11:53:24 +03:00
AUTOMATIC1111
fecb990deb
Merge pull request #7309 from brkirch/fix-embeddings
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Fix embeddings, upscalers, and refactor `--upcast-sampling`
2023-01-28 18:44:36 +03:00
brkirch
ada17dbd7c
Refactor conditional casting, fix upscalers
2023-01-28 04:16:25 -05:00
Max Audron
5eee2ac398
add data-dir flag and set all user data directories based on it
2023-01-27 14:44:30 +01:00
AUTOMATIC
7a14c8ab45
add an option to enable sections from extras tab in txt2img/img2img
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fix some style inconsistenices
2023-01-26 23:31:32 +03:00
brkirch
10421f93c3
Fix full previews, --no-half-vae
2023-01-26 01:43:35 -05:00
AUTOMATIC
d1d6ce2983
add edit_image_conditioning from my earlier edits in case there's an attempt to inegrate pix2pix properly
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this allows to use pix2pix model in img2img though it won't work well this way
2023-01-25 23:25:25 +03:00
AUTOMATIC1111
1574e96729
Merge pull request #6510 from brkirch/unet16-upcast-precision
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Add upcast options, full precision sampling from float16 UNet and upcasting attention for inference using SD 2.1 models without --no-half
2023-01-25 19:12:29 +03:00
AUTOMATIC
57c1baa774
change to code for live preview fix on OSX to be bit more obvious
2023-01-25 18:56:23 +03:00
brkirch
e3b53fd295
Add UI setting for upcasting attention to float32
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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.
2023-01-25 01:13:04 -05:00