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Apply text prompts to specific image regions using rectangular grids for precise GLIGEN model conditioning in AI art generation.
GLIGENTextBoxApply_Advanced is a specialized node designed to integrate GLIGEN models with text-based conditioning for AI art generation. This node allows you to apply text prompts to specific regions within an image, defined by rectangular grids, to influence the output of the GLIGEN model. By leveraging the power of conditioning and the flexibility of grid-based inputs, this node enables precise control over the artistic elements in the generated images. It is particularly useful for tasks that require detailed and localized text-based modifications, enhancing the creative process by providing a structured way to apply textual prompts to specific areas of an image.
This parameter represents the conditioning input, which is a set of instructions or prompts that guide the GLIGEN model in generating the desired output. The conditioning input is crucial as it directly influences the model's behavior and the resulting image. It typically includes text prompts that describe the desired features or modifications.
The clip parameter refers to the CLIP model used in conjunction with the GLIGEN model. CLIP (Contrastive Language-Image Pre-Training) is a powerful model that understands images and text together. It helps in aligning the text prompts with the visual features in the image, ensuring that the generated output accurately reflects the given instructions.
This parameter specifies the GLIGEN model to be used. GLIGEN models are designed for generating images based on text prompts, and this parameter allows you to select the appropriate model for your task. The choice of model can significantly impact the quality and style of the generated images.
The grids parameter is a collection of rectangular boxes that define specific regions within the image. Each grid represents an area where the text prompt will be applied. This allows for localized modifications, enabling you to target specific parts of the image with different prompts.
Labels are the text prompts associated with each grid. This parameter allows you to provide multiple text prompts, each corresponding to a specific grid. The labels guide the GLIGEN model in generating the desired features within the defined regions. This parameter supports multiline input, enabling complex and detailed instructions.
The output parameter is a modified prompt that includes the text prompts applied to the specified grids. This output is a string that combines the original conditioning input with the localized text prompts, formatted to guide the GLIGEN model in generating the desired image. The prompt is essential for ensuring that the model accurately reflects the given instructions in the generated output.
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