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v22.4.1 #1834

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merged 7 commits into from
Jan 3, 2024
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v22.4.1 #1834

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e084bc5
Fix missing import in BLIP captioning
paboum Dec 30, 2023
329a601
Bump crate-ci/typos from 1.16.23 to 1.16.26
dependabot[bot] Jan 1, 2024
61cd655
Update zh-TW localization
hinablue Jan 1, 2024
a2eed05
Merge pull request #1821 from paboum/master
bmaltais Jan 3, 2024
5287fd6
Merge pull request #1832 from hinablue/master
bmaltais Jan 3, 2024
894472b
Merge pull request #1831 from bmaltais/dependabot/github_actions/crat…
bmaltais Jan 3, 2024
bc0a7bf
v22.4.1
bmaltais Jan 3, 2024
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2 changes: 1 addition & 1 deletion .github/workflows/typos.yaml
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Expand Up @@ -18,4 +18,4 @@ jobs:
- uses: actions/checkout@v4

- name: typos-action
uses: crate-ci/[email protected].23
uses: crate-ci/[email protected].26
2 changes: 1 addition & 1 deletion .release
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@@ -1 +1 @@
v22.4.0
v22.4.1
3 changes: 3 additions & 0 deletions README.md
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Expand Up @@ -651,6 +651,9 @@


## Change History
* 2024/01/02 (v22.4.1)
- Minor bug fixed and enhancements.

* 2023/12/28 (v22.4.0)
- Fixed to work `tools/convert_diffusers20_original_sd.py`. Thanks to Disty0! PR [#1016](https://github.com/kohya-ss/sd-scripts/pull/1016)
- The issues in multi-GPU training are fixed. Thanks to Isotr0py! PR [#989](https://github.com/kohya-ss/sd-scripts/pull/989) and [#1000](https://github.com/kohya-ss/sd-scripts/pull/1000)
Expand All @@ -668,7 +671,7 @@

* 2023/12/20 (v22.3.1)
- Add goto button to manual caption utility
- Add missing options for various LyCORIS training algorythms

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"algorythms" should be "algorithms".

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"algorythms" should be "algorithms".
- Refactor how feilds are shown or hidden
- Made max value for network and convolution rank 512 except for LyCORIS/LoKr.

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2 changes: 1 addition & 1 deletion finetune/make_captions.py
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Expand Up @@ -13,7 +13,7 @@
from torchvision import transforms
from torchvision.transforms.functional import InterpolationMode
sys.path.append(os.path.join(os.path.dirname(__file__), '..')) # sys.path.append(os.path.dirname(__file__))
from blip.blip import blip_decoder
from blip.blip import blip_decoder, is_url
import library.train_util as train_util

DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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