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4 Commits

Author SHA1 Message Date
Brandon Rising
0a263fa5b1 chore: bump version to v4.2.9rc1 2024-08-27 12:09:27 -04:00
Mary Hipp
fae3836a8d fix CLIP 2024-08-27 10:29:10 -04:00
Mary Hipp
b3d2eb4178 add translations for new model types in MM, remove clip vision from filter since its not displayed in list 2024-08-27 10:29:10 -04:00
psychedelicious
576f1cbb75 build: remove broken scripts
These two scripts are broken and can cause data loss. Remove them.

They are not in the launcher script, but _are_ available to users in the terminal/file browser.

Hopefully, when we removing them here, `pip` will delete them on next installation of the package...
2024-08-27 22:01:45 +10:00
5 changed files with 11 additions and 10 deletions

View File

@@ -696,6 +696,8 @@
"availableModels": "Available Models",
"baseModel": "Base Model",
"cancel": "Cancel",
"clipEmbed": "CLIP Embed",
"clipVision": "CLIP Vision",
"config": "Config",
"convert": "Convert",
"convertingModelBegin": "Converting Model. Please wait.",
@@ -783,6 +785,7 @@
"settings": "Settings",
"simpleModelPlaceholder": "URL or path to a local file or diffusers folder",
"source": "Source",
"spandrelImageToImage": "Image to Image (Spandrel)",
"starterModels": "Starter Models",
"starterModelsInModelManager": "Starter Models can be found in Model Manager",
"syncModels": "Sync Models",
@@ -791,6 +794,7 @@
"loraTriggerPhrases": "LoRA Trigger Phrases",
"mainModelTriggerPhrases": "Main Model Trigger Phrases",
"typePhraseHere": "Type phrase here",
"t5Encoder": "T5 Encoder",
"upcastAttention": "Upcast Attention",
"uploadImage": "Upload Image",
"urlOrLocalPath": "URL or Local Path",

View File

@@ -175,12 +175,12 @@ const ModelList = () => {
{/* T5 Encoders List */}
{isLoadingT5EncoderModels && <FetchingModelsLoader loadingMessage="Loading T5 Encoder Models..." />}
{!isLoadingT5EncoderModels && filteredT5EncoderModels.length > 0 && (
<ModelListWrapper title="T5 Encoder" modelList={filteredT5EncoderModels} key="t5-encoder" />
<ModelListWrapper title={t('modelManager.t5Encoder')} modelList={filteredT5EncoderModels} key="t5-encoder" />
)}
{/* Clip Embed List */}
{isLoadingClipEmbedModels && <FetchingModelsLoader loadingMessage="Loading Clip Embed Models..." />}
{!isLoadingClipEmbedModels && filteredClipEmbedModels.length > 0 && (
<ModelListWrapper title="Clip Embed" modelList={filteredClipEmbedModels} key="clip-embed" />
<ModelListWrapper title={t('modelManager.clipEmbed')} modelList={filteredClipEmbedModels} key="clip-embed" />
)}
{/* Spandrel Image to Image List */}
{isLoadingSpandrelImageToImageModels && (
@@ -188,7 +188,7 @@ const ModelList = () => {
)}
{!isLoadingSpandrelImageToImageModels && filteredSpandrelImageToImageModels.length > 0 && (
<ModelListWrapper
title="Image-to-Image"
title={t('modelManager.spandrelImageToImage')}
modelList={filteredSpandrelImageToImageModels}
key="spandrel-image-to-image"
/>

View File

@@ -19,11 +19,10 @@ export const ModelTypeFilter = memo(() => {
controlnet: 'ControlNet',
vae: 'VAE',
t2i_adapter: t('common.t2iAdapter'),
t5_encoder: 'T5Encoder',
clip_embed: 'Clip Embed',
t5_encoder: t('modelManager.t5Encoder'),
clip_embed: t('modelManager.clipEmbed'),
ip_adapter: t('common.ipAdapter'),
clip_vision: 'Clip Vision',
spandrel_image_to_image: 'Image-to-Image',
spandrel_image_to_image: t('modelManager.spandrelImageToImage'),
}),
[t]
);

View File

@@ -1 +1 @@
__version__ = "4.2.8post1"
__version__ = "4.2.9rc1"

View File

@@ -130,8 +130,6 @@ dependencies = [
[project.scripts]
"invokeai-web" = "invokeai.app.run_app:run_app"
"invokeai-import-images" = "invokeai.frontend.install.import_images:main"
"invokeai-db-maintenance" = "invokeai.backend.util.db_maintenance:main"
[project.urls]
"Homepage" = "https://invoke-ai.github.io/InvokeAI/"