ComfyUI_TravelSuite

ComfyUI custom nodes to apply various latent travel techniques.

LatentTravel Node

Travel between different latent spaces using a range of blend and travel modes.

Node Inputs

• A, B: Latent variables needed for the process.
• steps: Integer representing the number of steps. This includes the two input latents A and B which will always be the first and last latents. The default value is 5. It should be within the range [0,10000].
• factor: A floating-point value with a default of 0.5. This value depends on the travel_mode specified
• blend_mode: Specifies the method used for latent blending: lerp", "slerp", "add", "multiply", "divide", "subtract", "overlay", "hard_light", "soft_light", "screen", "linear_dodge", "difference", "exclusion", "random"
• travel_mode: Determines the travel interval model:
• • 'linear': linear interpolation
• • 'hinge': takes factor as a cutpoint and splits the steps evenly between above and below the hinge
• • 'circle': steps along the X-axis of a circle
• • 'norm': steps along a normal distribution centered at 0.5. Factor is the gaussian scale factor.
• • 'quadratic', 'cubic', 'quartic': steps along linear space raised to 2, 3, 4 powers.
• • 'geometric': steps along geomspace from 0, 1
• reflect_travel: Bool indicating whether to reflect travel mode values around the center.
• vae: VAE (Variational Autoencoder) type, to decode generated latents to tensors.
• output_images: Bool indicating whether to output images. Requires VAE input.
• filepath: String for defining the output path for the files. Default path is 'output/travel'.
• prefix: String for prefixing the generated files. By default, this is 'travel'.
• write_images: Bool indicating whether to write output images. Requires VAE input.

Node Outputs

• LATENTS: Resulting travel latents. There will be steps latents, and the first and last will be the input A and B.
• IMAGES: Tensor images, if output_images=True. Requires VAE.
• FILEPATHS: List of filepaths produced if write_images=True.

[Workflow Image](workflow.png)