d2c97fc3fe
fix dropout, implement train/eval mode
2022-11-23 20:00:00 +09:00
89d8ecff09
small fixes
2022-11-23 02:49:01 +09:00
5b57f61ba4
fix pin_memory with different latent sampling method
2022-11-21 10:15:46 +09:00
bd68e35de3
Gradient accumulation, autocast fix, new latent sampling method, etc
2022-11-20 12:35:26 +09:00
cdc8020d13
change StableDiffusionProcessing to internally use sampler name instead of sampler index
2022-11-19 12:01:51 +03:00
62e3d71aa7
rework the code to not use the walrus operator because colab's 3.7 does not support it
2022-11-05 17:09:42 +03:00
cb84a304f0
Merge pull request #4273 from Omegastick/ordered_hypernetworks
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Sort hypernetworks list
2022-11-05 16:16:18 +03:00
08feb4c364
Sort straight out of the glob
2022-11-04 20:53:11 +07:00
fd62727893
Sort hypernetworks
2022-11-04 18:34:35 +07:00
1ca0bcd3a7
only save if option is enabled
2022-11-04 16:09:19 +09:00
f5d394214d
split before declaring file name
2022-11-04 16:04:03 +09:00
283249d239
apply
2022-11-04 15:57:17 +09:00
4918eb6ce4
Merge branch 'master' into hn-activation
2022-11-04 09:02:15 +03:00
17a2076f72
Merge pull request #3928 from R-N/validate-before-load
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Optimize training a little
2022-10-30 09:51:36 +03:00
3d58510f21
Fix dataset still being loaded even when training will be skipped
2022-10-30 00:54:59 +07:00
a07f054c86
Add missing info on hypernetwork/embedding model log
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Mentioned here: https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/1528#discussioncomment-3991513
Also group the saving into one
2022-10-30 00:49:29 +07:00
ab05a74ead
Revert "Add cleanup after training"
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This reverts commit 3ce2bfdf95
2022-10-30 00:32:02 +07:00
3ce2bfdf95
Add cleanup after training
2022-10-29 19:43:21 +07:00
ab27c111d0
Add input validations before loading dataset for training
2022-10-29 18:09:17 +07:00
e98f72be33
Merge branch 'AUTOMATIC1111:master' into 3825-save-hypernet-strength-to-info
2022-10-29 00:31:23 -07:00
810e6a407d
Merge pull request #3858 from R-N/log-csv
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Fix log off by 1 #3847
2022-10-29 07:55:20 +03:00
9ceef81f77
Fix log off by 1
2022-10-28 20:48:08 +07:00
db5a354c48
Always ignore "None.pt" in the hypernet directory.
2022-10-28 01:41:57 -07:00
b2a8b263b2
Add missing support for linear activation in hypernetwork
2022-10-28 12:54:59 +08:00
029d7c7543
Revert unresolved changes in Bias initialization
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it should be zeros_ or parameterized in future properly.
2022-10-27 14:44:53 +09:00
cc56df996e
Fix dropout logic
2022-10-27 14:38:21 +09:00
85fcccc105
Squashed commit of fixing dropout silently
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fix dropouts for future hypernetworks
add kwargs for Hypernetwork class
hypernet UI for gradio input
add recommended options
remove as options
revert adding options in ui
2022-10-27 14:38:21 +09:00
b6a8bb123b
Fix merge
2022-10-26 15:15:19 +08:00
a524d137d0
patch bug (SeverianVoid's comment on 5245c7a)
2022-10-26 10:12:46 +03:00
91bb35b1e6
Merge fix
2022-10-26 15:00:03 +08:00
649d79a8ec
Merge branch 'master' into hn-activation
2022-10-26 14:58:04 +08:00
877d94f97c
Back compatibility
2022-10-26 14:50:58 +08:00
7207e3bf49
remove duplicate keys and lowercase
2022-10-26 09:17:01 +03:00
de096d0ce7
Weight initialization and More activation func
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add weight init
add weight init option in create_hypernetwork
fstringify hypernet info
save weight initialization info for further debugging
fill bias with zero for He/Xavier
initialize LayerNorm with Normal
fix loading weight_init
2022-10-26 09:17:01 +03:00
c702d4d0df
Fix off-by-one
2022-10-26 13:43:04 +08:00
2f4c91894d
Remove activation from final layer of HNs
2022-10-26 12:10:30 +08:00
e9a410b535
check length for variance
2022-10-24 09:07:39 +03:00
0d2e1dac40
convert deque -> list
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I don't feel this being efficient
2022-10-24 09:07:39 +03:00
348f89c8d4
statistics for pbar
2022-10-24 09:07:39 +03:00
40b56c9289
cleanup some code
2022-10-24 09:07:39 +03:00
b297cc3324
Hypernetworks - fix KeyError in statistics caching
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Statistics logging has changed to {filename : list[losses]}, so it has to use loss_info[key].pop()
2022-10-24 09:07:39 +03:00
1fbfc052eb
Update hypernetwork.py
2022-10-23 08:34:33 +03:00
48dbf99e84
Allow tracking real-time loss
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Someone had 6000 images in their dataset, and it was shown as 0, which was confusing.
This will allow tracking real time dataset-average loss for registered objects.
2022-10-22 22:24:19 +03:00
24694e5983
Update hypernetwork.py
2022-10-22 20:25:32 +03:00
6a4fa73a38
small fix
2022-10-22 13:44:39 +00:00
97749b7c7d
Merge branch 'AUTOMATIC1111:master' into master
2022-10-22 22:00:59 +09:00
7912acef72
small fix
2022-10-22 13:00:44 +00:00
fccba4729d
add an option to avoid dying relu
2022-10-22 12:02:41 +00:00
7fd90128eb
added a guard for hypernet training that will stop early if weights are getting no gradients
2022-10-22 14:48:43 +03:00
dcb45dfecf
Merge branch 'master' of upstream
2022-10-22 11:14:46 +00:00
flamelaw