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Transform input images using textual prompts with Img2ImgTurboEdgeRun node for artistic renditions.
The Img2ImgTurboEdgeRun node is designed to transform an input image into a new image based on a given prompt, leveraging the capabilities of the Img2ImgTurboEdgeModel. This node is particularly useful for AI artists who want to generate new artistic renditions of an existing image by providing a textual description (prompt) that guides the transformation process. The node ensures that the input image is preprocessed to meet the model's requirements, such as resizing to dimensions divisible by 8, and then applies the model to generate the output image. This process allows for creative and controlled image transformations, making it a powerful tool for artistic experimentation and enhancement.
This parameter specifies the model to be used for the image transformation. The model should be of type Img2ImgTurboEdgeModel
, which is pre-trained to handle edge-to-image transformations. The model interprets the input image and the prompt to generate the desired output.
The image
parameter is the input image that you want to transform. It should be provided in a format that the node can process, typically as a tensor. The image is preprocessed to ensure its dimensions are compatible with the model's requirements.
The prompt
parameter is a string that describes the desired transformation or the elements you want to introduce into the output image. This textual description guides the model in generating the new image. The default value is an empty string, which means no specific guidance is provided.
The seed
parameter is an integer that sets the random seed for the transformation process. This ensures reproducibility of the results. By setting the same seed, you can obtain the same output for the same input and prompt. The default value is 1234.
The gamma
parameter is a float that adjusts the gamma correction applied during the transformation process. It influences the brightness and contrast of the output image. The default value is 0.4, which provides a balanced adjustment.
The output parameter is an IMAGE
, which is the transformed version of the input image based on the provided prompt. This output image is generated by the model and reflects the artistic changes guided by the prompt and the preprocessing steps applied to the input image.
gamma
parameter to fine-tune the brightness and contrast of the output image, especially if the initial results are too dark or too bright.seed
parameter to ensure reproducibility of your results, which is particularly useful when you want to compare different prompts or settings with the same input image.Img2ImgTurboEdgeModel
.Img2ImgTurboEdgeLoader
node before running the transformation.© Copyright 2024 RunComfy. All Rights Reserved.