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WIP - A bunch of boilerplate to support Spandrel Image-to-Image models throughout the model manager and the frontend.

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Ryan Dick
2024-06-28 18:03:09 -04:00
parent 95079dc7d4
commit 29c8ddfb88
15 changed files with 287 additions and 19 deletions
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invokeai/app/invocations/fields.py
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@ -48,6 +48,7 @@ class UIType(str, Enum, metaclass=MetaEnum):
ControlNetModel = "ControlNetModelField"
IPAdapterModel = "IPAdapterModelField"
T2IAdapterModel = "T2IAdapterModelField"
SpandrelImageToImageModel = "SpandrelImageToImageModelField"
# endregion
# region Misc Field Types
@ -134,6 +135,7 @@ class FieldDescriptions:
sdxl_main_model = "SDXL Main model (UNet, VAE, CLIP1, CLIP2) to load"
sdxl_refiner_model = "SDXL Refiner Main Modde (UNet, VAE, CLIP2) to load"
onnx_main_model = "ONNX Main model (UNet, VAE, CLIP) to load"
spandrel_image_to_image_model = "Spandrel Image-to-Image model"
lora_weight = "The weight at which the LoRA is applied to each model"
compel_prompt = "Prompt to be parsed by Compel to create a conditioning tensor"
raw_prompt = "Raw prompt text (no parsing)"