Kohaku-Blueleaf
e6269cba7f
Add dropdown for scheduler type
2023-05-22 23:02:05 +08:00
Kohaku-Blueleaf
90ec557d60
remove debug print
2023-05-22 22:06:13 +08:00
Kohaku-Blueleaf
a104879869
Add custom karras scheduler
2023-05-22 21:52:46 +08:00
AUTOMATIC
3366e494a1
option to pad prompt/neg prompt to be same length
2023-05-22 00:13:53 +03:00
catboxanon
9a442702d1
Discard penultimate sigma for dpmpp_2m_sde
2023-05-21 01:01:59 -04:00
AUTOMATIC
31545abe14
add DPM-Solver++(2M) SDE from new k-diffusion
2023-05-21 07:31:51 +03:00
AUTOMATIC
a61cbef02c
add second_order field to sampler config
2023-05-16 12:36:15 +03:00
AUTOMATIC
cdac5ace14
suppress ENSD infotext for samplers that don't use it
2023-05-16 11:54:02 +03:00
AUTOMATIC
005849331e
remove output_altered flag from AfterCFGCallbackParams
2023-05-14 08:15:22 +03:00
catboxanon
3078001439
Add/modify CFG callbacks
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Required by self-attn guidance extension
https://github.com/ashen-sensored/sd_webui_SAG
2023-05-14 01:49:41 +00:00
Aarni Koskela
49a55b410b
Autofix Ruff W (not W605) (mostly whitespace)
2023-05-11 20:29:11 +03:00
AUTOMATIC
028d3f6425
ruff auto fixes
2023-05-10 11:05:02 +03:00
AUTOMATIC
f741a98bac
imports cleanup for ruff
2023-05-10 08:43:42 +03:00
Aarni Koskela
3ba6c3c83c
Fix up string formatting/concatenation to f-strings where feasible
2023-05-09 22:25:39 +03:00
AUTOMATIC
8863b31d83
use correct images for previews when using AND (see #9491 )
2023-04-29 16:06:20 +03:00
AUTOMATIC
737b73a820
some extra lines I forgot to add for previous commit
2023-04-29 16:05:20 +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
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
Deciare
d40e44ade4
Option to use CPU for random number generation.
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Makes a given manual seed generate the same images across different
platforms, independently of the GPU architecture in use.
Fixes #9613 .
2023-04-18 23:27:46 -04:00
devdn
44e8e9c368
fix live preview & alternate uncond guidance for better quality
2023-03-30 00:54:28 -04:00
devdn
42082e8a32
performance increase
2023-03-28 20:56:01 -04:00
MrCheeze
8a34671fe9
Add support for the Variations models (unclip-h and unclip-l)
2023-03-25 21:03:07 -04:00
AUTOMATIC
7f2005127f
rename CFGDenoiserParams fields for #8064
2023-03-11 14:52:29 +03:00
laksjdjf
9a1435946c
Update sd_samplers_kdiffusion.py
2023-02-24 14:04:23 +09:00
AUTOMATIC1111
3fcc087317
Merge pull request #7731 from opparco/master
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Add cfg_denoised_callback
2023-02-19 11:09:47 +03:00
RcINS
f55a7e04d8
Fix error when batch count > 1
2023-02-15 16:57:18 +08:00
opparco
b78c5e87ba
Add cfg_denoised_callback
2023-02-11 11:18:38 +09:00
RcINS
9e27af76d1
Fix DPM++ SDE not deterministic across different batch sizes ( #5210 )
2023-02-11 10:12:16 +08:00
AUTOMATIC
72dd5785d9
merge CFGDenoiserEdit and CFGDenoiser into single object
2023-02-04 11:06:17 +03:00
Kyle
ba6a4e7e94
Use original CFGDenoiser if image_cfg_scale = 1
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If image_cfg_scale is =1 then the original image is not used for the output. We can then use the original CFGDenoiser to get the same result to support AND functionality.
Maybe in the future AND can be supported with "Image CFG Scale"
2023-02-03 19:46:13 -05:00
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
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
4df63d2d19
split samplers into one more files for k-diffusion
2023-01-30 10:11:30 +03:00
Andrey
f4d0538bf2
Split history sd_samplers.py to sd_samplers_kdiffusion.py
2023-01-30 09:51:23 +03:00