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Enhance portrait images with detailed prompts for AI model to create professional, photorealistic outputs.
The easy portraitMaster node is designed to enhance and refine portrait images by generating detailed prompts that guide the AI model in creating high-quality, photorealistic outputs. This node focuses on improving various facial features and lighting conditions to achieve a professional and balanced photo. It allows you to specify details such as eye and iris characteristics, facial symmetry, and lighting types, which are then incorporated into the prompt for the AI model. The node also includes options for photorealism improvement, ensuring that the final image has a professional look with balanced exposure and film grain effects. By using this node, you can achieve more precise and aesthetically pleasing portrait images with minimal effort.
This parameter specifies the AI model to be used for generating the portrait. It is essential for defining the base capabilities and style of the output image. The model parameter ensures that the node uses the correct AI model to process the input image and generate the desired enhancements.
This parameter represents the input image that you want to enhance. It is the base image upon which all the specified enhancements and refinements will be applied. The image parameter is crucial as it provides the initial visual data for the AI model to work with.
This parameter allows you to choose from predefined settings that optimize the node for specific types of portrait enhancements. Options include presets like "FACEID PLUS V2" and "FACEID PORTRAIT (style transfer)," which tailor the node's behavior to achieve the best results for different portrait styles.
This parameter is used to input positive prompts that guide the AI model towards desired features and enhancements in the portrait. Positive prompts help in emphasizing specific characteristics or styles that you want to highlight in the final image.
This parameter is used to input negative prompts that guide the AI model away from undesired features or styles. Negative prompts help in avoiding specific characteristics that you do not want to appear in the final image.
This parameter represents the mask to be applied to the input image, defining the areas where the enhancements should be focused. The mask helps in selectively applying the refinements to specific parts of the image, ensuring precise control over the enhancement process.
This parameter specifies the type of lighting to be applied to the portrait. It allows you to choose from different lighting styles to achieve the desired visual effect. The light_type parameter is important for setting the overall mood and tone of the portrait.
This parameter defines the direction of the lighting applied to the portrait. It helps in creating realistic lighting effects by simulating the direction from which the light source is coming. The light_direction parameter is crucial for achieving natural-looking lighting in the final image.
This parameter controls the intensity of the lighting applied to the portrait. It allows you to adjust the strength of the light to achieve the desired level of brightness and contrast. The light_weight parameter is important for fine-tuning the lighting effects to match your artistic vision.
This parameter enables or disables the photorealism improvement feature. When enabled, it adds specific prompts to enhance the photorealistic quality of the portrait, ensuring a professional and balanced photo with film grain effects. The photorealism_improvement parameter is essential for achieving high-quality, realistic portraits.
This output parameter provides the generated prompt that incorporates all the specified enhancements and refinements. The prompt guides the AI model in creating the final portrait image with the desired features and styles. It is a crucial component for achieving the intended visual effects.
This output parameter provides the generated negative prompt that helps in avoiding undesired features or styles in the final portrait image. The negative_prompt works in conjunction with the positive prompt to ensure that the AI model produces the best possible results.
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