KJNodes

Reacts to the sound level of the input. Uses your browsers sound input options and requires. Meant to be used with realtime diffusion with autoqueue.

Select individual block alpha values, value of 0 removes the block altogether

Interpolates coordinates based on a curve.

Plots coordinates to sequence of images using Matplotlib.

Select individual block alpha values, value of 0 removes the block altogether

Creates a gradient image from coordinates.

Creates an image or batch of images with the specified shape. Locations are center locations.

Helper node for video generation extension First input source and overlap amount to get the starting frames for the extension. Then on another copy of the node provide the newly generated frames and choose how to overlap them.

Captures an area specified by screen coordinates. Can be used for realtime diffusion with autoqueue.

Captures an area specified by screen coordinates. Can be used for realtime diffusion with autoqueue.

Appends tracking data to be used with InstanceDiffusion: https://github.com/logtd/ComfyUI-InstanceDiffusion

Creates tracking data to be used with InstanceDiffusion: https://github.com/logtd/ComfyUI-InstanceDiffusion InstanceDiffusion prompt format: "class_id.class_name": "prompt", for example: "1.head": "((head))",

Select individual block alpha values, value of 0 removes the block altogether

Creates a mask or batch of masks with the specified shape. Locations are center locations. Grow value is the amount to grow the shape on each frame, creating animated masks.

Creates a mask or batch of masks with the specified shape. Locations are center locations.

Generates a batch of masks based on the input float values. The batch size is determined by the length of the input float values. Each mask is generated with the specified width and height.

Scales a batch schedule from Fizz' nodes BatchPromptSchedule to a different frame count.

Returns the path to the model as a string.

Creates a sigmas tensor from a string of comma separated values. Examples: Nvidia's optimized AYS 10 step schedule for SD 1.5: 14.615, 6.475, 3.861, 2.697, 1.886, 1.396, 0.963, 0.652, 0.399, 0.152, 0.029 SDXL: 14.615, 6.315, 3.771, 2.181, 1.342, 0.862, 0.555, 0.380, 0.234, 0.113, 0.029 SVD: 700.00, 54.5, 15.886, 7.977, 4.248, 1.789, 0.981, 0.403, 0.173, 0.034, 0.002

Creates a sigmas tensor from list of float values.

Creates single string, or a list of strings, from multiple input strings. You can set how many inputs the node has, with the **inputcount** and clicking update.

# SuperPrompt A T5 model fine-tuned on the SuperPrompt dataset for upsampling text prompts to more detailed descriptions. Meant to be used as a pre-generation step for text-to-image models that benefit from more detailed prompts. https://huggingface.co/roborovski/superprompt-v1

Video latent VAE decoding to fix artifacts on loop seams.

Select individual block alpha values, value of 0 removes the block altogether

Converts different value lists/series to another type.

Extends, and converts if needed, different value lists/series