Elvax Nodes

Elvax Nodes

Convenience nodes for ComfyUI!

• LLM TURBO: Run local LLMs faster, directly in ComfyUI
• Load and crop images faster in one node
• Upscale, interpolate, and add film grain in one node
• Tidy workflows with Dynamic Pipes, supporting Set/Get nodes and reroutes
• Extend Minimax H3 Videos

And more...

LLM Turbo

Run local GGUF models directly inside ComfyUI at blazing speed through the llama.cpp backend, with no external LLM app, setup, or headache! Pair system and user prompts with dynamically growing image or audio inputs, including image batches, and use MTP where supported. The stats output reports total node runtime and llama.cpp generation speeds. Select models from models/LLM or models/text_encoders; image and audio inputs require a compatible model and projector (mmproj).

Load/Crop Image

Load and crop an image quickly in one node. Refine the crop interactively, send the current image and its matching mask downstream, or restore the original.

Dynamic Pipe In / Dynamic Pipe Out

Bundle connected values in input order and carry them through a single pipe. Dynamic Pipe In grows as you connect values; Dynamic Pipe Out unpacks them into separate outputs in their original order, keeping complex workflows tidy without changing the values themselves. Supports Set/Get nodes and Reroutes!

Prompt Edit / Preview

Preview and edit text in one node. Edit the preview text with one click, then refine it before passing it downstream.

Turbo Post Processing

Upscale with Lanczos, interpolate with RIFE 4.9, and add film grain in one fast node, with optional low-VRAM processing.

H3 Staged Samplers

Build a MiniMax H3 generation as a configurable stage-by-stage chain. Set shared generation parameters once in H3 Chain Settings, then tailor each stage with H3 Stage Settings. Use H3 Sampler Preview to sample the stage, optionally show a live tiny-VAE preview or decode the full video, and pass the accumulated latent into the next stage. Motion Context continues from prior latent context; Hard Cut starts a fresh joined segment.

H3 Chain Settings: Configure the shared settings for a MiniMax H3 extension chain.

H3 Stage Settings: Configure each stage of a MiniMax H3 extension chain independently (supports custom Loras for each stage)

H3 Sampler Preview: Sample a stage, optionally show a live tiny-VAE preview during sampling or decode a full video preview, and pass the accumulated latent to the next stage. The preview_result toggle controls full video decoding; live previews are available when a tiny VAE is selected.

H3 References: Bundle picture, video, and audio references with MiniMax H3 token labels for use in H3 Stage Settings. Audio slots 1–3 pair with their matching connected video slots; remaining audio slots are standalone.

H3 Custom Extension Sampler

Seamlessly extend a MiniMax H3 generation from one sampler stage to the next, with controls to customize exactly how you want it built. Sampling stays lightweight: the node returns the accumulated chain_latent and this stage's stage_latent without decoding, so you can connect your preferred preview or decode workflow.

Queue Reference Map

Keep track of queued generations with their first reference image and prompt. See the current queue order and cancel an individual item directly from the node.

Installation

ComfyUI Manager

Open Manager → Custom Nodes Manager, search for Elvax Nodes, and select Install. Restart ComfyUI.

Manual installation

Clone this repository into ComfyUI/custom_nodes:

git clone https://github.com/younestft/Elvax-nodes.git

Install the Python dependency with the Python environment used by ComfyUI:

python -m pip install -r ComfyUI/custom_nodes/Elvax-nodes/requirements.txt

Restart ComfyUI. The nodes appear under the Elvax category.

License and credits

This repository is licensed under GNU GPL v3 or later; see LICENSE.

Many nodes in this pack are based on or inspired by ComfyUI's native nodes. Credit to the Comfy Org team for ComfyUI and its native node implementations. The H3 tiny-VAE preview is credited to Kijai and KJNodes.

LLM Turbo is adapted from the GPL-3.0-licensed ComfyUI-LLM-text-processor by KingManiya.

The H3 Extension Sampler is a modified derivative of ComfyUI-H3-Motion-Context by NikoDemon80.

The bundled H3 References node is adapted from the GPL-3.0-licensed ComfyUI-H3-Prompt-IDE by Ethan Fel.

Turbo Post Processing brings together ComfyUI's native Lanczos image scaling, RIFE 4.9 interpolation from Fill-Nodes by filliptm, and Fast Film Grain from VRGameDevGirl's nodes.