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feat(config): add nsfw_check and watermark to config
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@ -112,6 +112,8 @@ class InvokeAIAppConfig(BaseSettings):
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force_tiled_decode: Whether to enable tiled VAE decode (reduces memory consumption with some performance penalty).
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pil_compress_level: The compress_level setting of PIL.Image.save(), used for PNG encoding. All settings are lossless. 0 = no compression, 1 = fastest with slightly larger filesize, 9 = slowest with smallest filesize. 1 is typically the best setting.
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max_queue_size: Maximum number of items in the session queue.
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nsfw_check: Enable NSFW checking for images. NSFW images will be blurred.
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watermark: Watermark all images with `invisible-watermark`.
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allow_nodes: List of nodes to allow. Omit to allow all.
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deny_nodes: List of nodes to deny. Omit to deny none.
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node_cache_size: How many cached nodes to keep in memory.
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@ -184,6 +186,8 @@ class InvokeAIAppConfig(BaseSettings):
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force_tiled_decode: bool = Field(default=False, description="Whether to enable tiled VAE decode (reduces memory consumption with some performance penalty).")
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pil_compress_level: int = Field(default=1, description="The compress_level setting of PIL.Image.save(), used for PNG encoding. All settings are lossless. 0 = no compression, 1 = fastest with slightly larger filesize, 9 = slowest with smallest filesize. 1 is typically the best setting.")
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max_queue_size: int = Field(default=10000, gt=0, description="Maximum number of items in the session queue.")
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nsfw_check: bool = Field(default=False, description="Enable NSFW checking for images. NSFW images will be blurred.")
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watermark: bool = Field(default=False, description="Watermark all images with `invisible-watermark`.")
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# NODES
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allow_nodes: Optional[list[str]] = Field(default=None, description="List of nodes to allow. Omit to allow all.")
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