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"type_convert_help": "• Converts a string value to its inferred type or types.\n\n******************\n\n✦ Cross_reference_types: When set to True the node will infer the primary data type and also offer equivalent values in other data types. For example: If you provide the node the string value: '1', it will infer the primary data type as Integer. However if Cross_reference_types is set to True it will also provide the Float value: 1.0 and the Boolean value: True, all of which are valid Python represntations of 1. If you were to provide the string value '1.6' with Cross_reference_types set to True, the node would infer the primary data type as Float and also provide the Integer 2, the closest round to the Float value. If Cross_reference_types is set to False, the node will only provide the primary inferred data type. ",
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"gemini_img_help": "• This node takes a prompt, an image, or a prompt and an image and produces: image(s) output, or image(s) and text output. This node uses Google Gemini models that accept multimodal input and produce multimodal output, i.e. the 'flash' models. You'll need a Google Gemini API key stored in an environment variable in order to use this node. The standard Plush environment variable for the Gemini key is: GEMINI_API_KEY, or you can use your own custom Enviroment Variable name and then the Plush 'Custom API Key' node to access it. Instructions for creating an Enviroment Variable are in the Plush-for-ComfyUI ReadMe on GitHub.",
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"imagen_img_help": "• Imagen is Google's dedicated image generation model. For now Imagen only does text to image generations. \n\n• Imagen API key: Imagen uses a Vertex API key as the model is considered experimental. In order to obtain an Imagen Vertex API key you'll have to: 1) Create a Google Cloud account. 2) Create an active project in Google Cloud. 3) Generate a Google Cloud API key. 4) Attach a Billing method to your Google Cloud account. 5) Activate Vertex for your Google Cloud account. 6) Activate the Imagen model in your Vertex Account. Your account will be charged on a 'pay for use' basis, and you should look at the pricing as it will likely change as the Imagen model gets closer to general release. You can put your Vertex API key in the standard Plush Enviroment Variable GEMINI_API_KEY or you can create your own custom API Key variable name and attach the 'Custom API Key' node to access it. Instructions for creating an Enviroment Variable are in the Plush-for-ComfyUI ReadMe on GitHub.",
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"gpt_img_help": "• This node takes a prompt, prompt and an image or a prompt, image and mask and produces: image(s) output (No text). Image + Mask can be used with a prompt to define an area for in-painting. This node uses the 'gpt-image-1' model; at this time that's the only model available. You'll need an OpenAI API key stored in an environment variable in order to use this node, and your OpenAI account will have to have been *ID Verified*. The standard Plush environment variable for the OpenAI key is: OPENAI_API_KEY. See the ReadMe link for setting up environment variables on GitHub: https://github.com/glibsonoran/Plush-for-ComfyUI."
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"gpt_img_help": "• This node takes a prompt, prompt and an image or a prompt, image and mask and produces: image(s) output (No text). \n\n• Image + Mask can be used with a prompt to define an area for in-painting. \n\n• You can create an image with a transparent background by stating this in your prompt. This node uses the 'gpt-image-1' model; at this time that's the only model available. \n\n• You'll need an OpenAI API key stored in an environment variable in order to use this node, and your OpenAI account will have to have been *ID Verified*. The standard Plush environment variable for the OpenAI key is: OPENAI_API_KEY. See the ReadMe link for setting up environment variables on GitHub: https://github.com/glibsonoran/Plush-for-ComfyUI."
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}
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