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https://github.com/invoke-ai/InvokeAI
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wip: add SD3 Model Loader Invocation
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@ -42,6 +42,7 @@ class UIType(str, Enum, metaclass=MetaEnum):
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MainModel = "MainModelField"
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SDXLMainModel = "SDXLMainModelField"
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SDXLRefinerModel = "SDXLRefinerModelField"
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SD3MainModel = "SD3MainModelField"
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ONNXModel = "ONNXModelField"
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VAEModel = "VAEModelField"
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LoRAModel = "LoRAModelField"
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@ -125,6 +126,7 @@ class FieldDescriptions:
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noise = "Noise tensor"
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clip = "CLIP (tokenizer, text encoder, LoRAs) and skipped layer count"
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unet = "UNet (scheduler, LoRAs)"
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transformer = "Transformer"
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vae = "VAE"
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cond = "Conditioning tensor"
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controlnet_model = "ControlNet model to load"
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@ -133,6 +135,7 @@ class FieldDescriptions:
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main_model = "Main model (UNet, VAE, CLIP) to load"
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sdxl_main_model = "SDXL Main model (UNet, VAE, CLIP1, CLIP2) to load"
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sdxl_refiner_model = "SDXL Refiner Main Modde (UNet, VAE, CLIP2) to load"
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sd3_main_model = "SD3 Main Model (Transformer, CLIP1, CLIP2, CLIP3, VAE) to load"
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onnx_main_model = "ONNX Main model (UNet, VAE, CLIP) to load"
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lora_weight = "The weight at which the LoRA is applied to each model"
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compel_prompt = "Prompt to be parsed by Compel to create a conditioning tensor"
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