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Specialized node for depth-based image enhancements in FluxPro framework, enhancing realism and detail for AI-generated art.
FluxProDepth_BFL is a specialized node designed to generate images with depth-based enhancements, leveraging the capabilities of the FluxPro framework. This node is particularly useful for creating images that require a nuanced understanding of depth, allowing for more realistic and visually appealing results. By integrating depth information, the node enhances the image generation process, providing a richer and more detailed output. This is especially beneficial for AI artists looking to create images with a sense of three-dimensionality and depth perception. The node's primary goal is to facilitate the creation of images that are not only aesthetically pleasing but also technically sophisticated, making it an essential tool for artists who wish to push the boundaries of AI-generated art.
The prompt
parameter is a string input that serves as the primary directive for the image generation process. It allows you to specify the theme, style, or content of the image you wish to create. This parameter supports multiline text, enabling detailed and complex prompts. The default value is an empty string, which means you need to provide a specific prompt to guide the image generation effectively.
The control_image
parameter is a string input that allows you to provide a reference image to guide the depth-based image generation. This can be particularly useful when you want the generated image to adhere to certain visual characteristics or compositions present in the control image. The default value is None
, indicating that the node can operate without a control image, but providing one can enhance the output's relevance to your vision.
The prompt_upsampling
parameter is a boolean input that determines whether the prompt should be upsampled during the image generation process. When set to True
, this option can enhance the detail and resolution of the generated image, making it more refined. The default value is False
, which means upsampling is not applied unless explicitly specified.
The steps
parameter is an integer input that controls the number of steps the node will take during the image generation process. It directly impacts the quality and detail of the final image, with more steps generally leading to a more refined output. The parameter accepts values between 15 and 50, with a default of 28, providing a balance between processing time and image quality.
The guidance
parameter is a float input that influences the adherence of the generated image to the provided prompt. Higher values result in images that more closely follow the prompt, while lower values allow for more creative freedom. The parameter ranges from 1.5 to 100.0, with a default value of 60.0, offering a strong but flexible guidance level.
The safety_tolerance
parameter is an integer input that sets the level of safety checks applied during image generation. This can help prevent the creation of inappropriate or undesirable content. The parameter ranges from 0 to 6, with a default value of 2, providing a moderate level of safety without overly restricting creativity.
The output_format
parameter allows you to choose the format of the generated image, with options including "jpeg" and "png". The default format is "jpeg", which is suitable for most use cases, but you can select "png" if you require a lossless format with support for transparency.
The seed
parameter is an optional integer input that sets the random seed for the image generation process. By specifying a seed, you can ensure the reproducibility of the generated image. The default value is -1, which means the node will use a random seed unless a specific value is provided.
The generated_image
parameter is the primary output of the node, providing the final image created based on the input parameters. This image incorporates depth-based enhancements, resulting in a visually rich and detailed output. The format of the image is determined by the output_format
parameter, ensuring compatibility with your desired use case.
steps
and guidance
parameters to find the optimal balance between processing time and image quality. Increasing the number of steps can enhance detail, while adjusting guidance can fine-tune the adherence to your prompt.control_image
parameter to guide the image generation process with a reference image, especially when aiming for a specific style or composition.prompt
parameter is not provided or is improperly formatted.prompt
parameter, and check for any formatting issues.control_image
could not be located or accessed.output_format
parameter.seed
parameter is set to a value outside the acceptable range.seed
parameter, or leave it at the default value of -1 for a random seed.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.