InvincibleDude
c3bd113a0b
Image info fix
2023-02-05 15:24:41 +00:00
InvincibleDude
f4b78e73a4
Merge branch 'AUTOMATIC1111:master' into improved-hr-conflict-test
2023-02-05 18:02:44 +03:00
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
InvincibleDude
3ec2eb8bf1
Merge branch 'master' into improved-hr-conflict-test
2023-01-30 15:35:13 +03:00
AUTOMATIC
040ec7a80e
make the program read Eta and Eta DDIM from generation parameters
2023-01-30 10:47:09 +03:00
invincibledude
425eab3464
Extra network in hr abomination fix
2023-01-29 19:26:31 +03:00
invincibledude
9beeef6267
Extra networks loading fix
2023-01-29 19:16:17 +03:00
invincibledude
6127d2ff1b
Extra networks loading fix
2023-01-29 19:13:27 +03:00
invincibledude
c92ec3a925
Extra networks loading fix
2023-01-29 19:07:00 +03:00
InvincibleDude
ee3d63b6be
Merge branch 'master' into master
2023-01-29 14:36:10 +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
brkirch
84d9ce30cb
Add option for float32 sampling with float16 UNet
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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().
2023-01-25 01:13:02 -05:00
InvincibleDude
44c0e6b993
Merge branch 'AUTOMATIC1111:master' into master
2023-01-24 15:44:09 +03:00
brkirch
f64af77adc
Fix different first gen with Approx NN previews
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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.
2023-01-23 22:49:20 -05:00
invincibledude
3bc8ee998d
Gen params paste improvement
2023-01-22 16:35:42 +03:00
invincibledude
7f62300f7d
Gen params paste improvement
2023-01-22 16:29:08 +03:00
invincibledude
a5c2b5ed89
UI and PNG info improvements
2023-01-22 15:50:20 +03:00
invincibledude
bbb1e35ea2
UI and PNG info improvements
2023-01-22 15:44:59 +03:00
invincibledude
34f6d66742
hr conditioning
2023-01-22 15:32:47 +03:00
invincibledude
125d5c8d96
hr conditioning
2023-01-22 15:31:11 +03:00
invincibledude
2ab2bce74d
hr conditioning
2023-01-22 15:28:38 +03:00
invincibledude
c5d4c87c02
hr conditioning
2023-01-22 15:17:43 +03:00
invincibledude
4e0cf7d4ed
hr conditioning
2023-01-22 15:15:08 +03:00
invincibledude
a9f0e7d536
hr conditioning
2023-01-22 15:12:00 +03:00
invincibledude
f774a8d24e
Hr-fix separate prompt experimentation
2023-01-22 14:52:01 +03:00
invincibledude
81e0723d65
Logging for debugging
2023-01-22 14:41:41 +03:00
invincibledude
b331ca784a
Fix
2023-01-22 14:35:34 +03:00
invincibledude
8114959e7e
Hr separate prompt test
2023-01-22 14:28:53 +03:00
invincibledude
0f6862ef30
PLMS edge-case handling fix 5
2023-01-22 00:11:05 +03:00
invincibledude
6cd7bf9f86
PLMS edge-case handling fix 3
2023-01-22 00:08:58 +03:00
invincibledude
3ffe2e768b
PLMS edge-case handling fix 2
2023-01-22 00:07:46 +03:00
invincibledude
9e1f49c4e5
PLMS edge-case handling fix
2023-01-22 00:03:16 +03:00
AUTOMATIC
78f59a4e01
enable compact view for train tab
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prevent previews from ruining hypernetwork training
2023-01-22 00:02:51 +03:00
invincibledude
6c0566f937
Type mismatch fix
2023-01-21 23:25:36 +03:00
invincibledude
3bd898b6ce
First test of different sampler for hi-res fix
2023-01-21 23:14:59 +03:00
AUTOMATIC
3deea34135
extract extra network data from prompt earlier
2023-01-21 19:36:08 +03:00
AUTOMATIC
92fb1096db
make it so that extra networks are not removed from infotext
2023-01-21 16:41:25 +03:00