A high-performance collection of custom nodes for ComfyUI, optimized for video workflows, resolution management, and logic control.
State-of-the-art image and video enhancement using NVIDIA RTX Video SDK. It executes up to three sequential passes (Denoise, Deblur, and Upscale) in a single node, processing frame-by-frame to keep VRAM usage predictable and low.
- Refine: Independent Denoise and Deblur passes.
- Upscale: AI-powered VSR and High Bitrate upscaling.
- Smart Sizing: Multiple resize modes including Constant Megapixel targets.
- Efficiency: Frame-by-frame processing for minimal VRAM usage.
The DaSiWa Scale Calculator provides mathematically precise resolution management for high-performance video models. It uses a Constant-Area Square-Root method to ensure that your GPU VRAM usage remains stable regardless of the aspect ratio.
- Unified Resolution Presets: Pick standard
ptargets from 144p to 2160p/4K or optimized megapixel tiers from one dropdown. - Clear Aspect Modes:
IMAGE ASPECTuses the connected image shape;USE ASPECT BELOWuses the always-visible aspect controls. - Video-Safe Snapping: Standard, Div32, Div64, and custom divisor modes keep dimensions aligned for different model families.
The DaSiWa Node Status Switch lets you mute or bypass any node in your workflow using a single toggle. Targets are registered by wiring their outputs into the switch's input slots, which grow dynamically as you connect more nodes (up to 99).
Quick start:
- Add a DaSiWa Node Status Switch to your workflow
- Drag any output from the node(s) you want to control into the switch's
target_01input — new slots appear as you connect more - Set
actiontomuteorbypassand configuretrigger_onto taste - Toggle
enableddirectly on the switch
The DaSiWa LTX-2 Lora Loader is a 10-slot LoRA stacker designed for LTX-2.3 video generation. LTX-2.3 is unique because it generates both video and audio from separate transformer branches. This node gives you independent control over how LoRAs affect video vs. audio.
- Dual-Branch Control: Adjust video (V×) and audio (A×) multipliers independently per LoRA.
- 10 LoRA Slots: Stack up to 10 LoRAs with fine-grained strength control (STR: −2.0 to +2.0).
- Key Count Indicator: Auto-scans each LoRA to show video/audio key counts before generation.
- 6 Themes: Switch between Jade, Neon, Studio, Chrome, OLED, and Wood color schemes.
- Searchable UI: Quick LoRA search with live filtering in the node itself.
The DaSiWa Metadata Image Saver ensures your images are fully compatible with Civitai, Hugging Face, and other galleries by embedding A1111-style metadata. It automatically detects LoRAs used in the workflow and supports dynamic filenames.
- Civitai Compatibility: Writes the standard
parametersblock for auto-parsing of prompts and resources. - LoRA Detection: Scans your workflow and appends
<lora:name:weight>triggers automatically. - WebP Support: Full "Drag-and-Drop" workflow reconstruction support for both PNG and WebP formats.
- Dynamic Filenames: Use placeholders like
%seed%,%date%,%model%,%width%, and%height%. - Privacy: Toggle workflow JSON embedding to share images without exposing your full graph.
A professional-grade watermark tool optimized for image and video batches. It uses a stable CPU compositor with high-quality resampling and precise rotation.
- Dynamic Random Positioning: Toggle seeded corner cycling while keeping the selected position as the start position.
- Splash Mode: Configure dynamic fade-in and fade-out at the start and end of clips for professional branding.
- Optical Padding: Automatically adjusts placement by the watermark's visual center of mass for perfect alignment.
- Stable Compositing: Output frames are initialized from the source batch before the watermark region is blended, avoiding flicker and black-frame artifacts.
Bridge any string/text node through DaSiWa Random String Picker to randomize prompt variants inline.
- Text passthrough: Accepts a connected
STRINGinput and returns aSTRINGoutput. - Inline variants: Replaces every
{A|B|C}segment with one randomly selected option. - Multiple groups: Processes any number of groups independently, such as
{red|blue} car in {sun|rain}. - Literal passthrough: Text outside complete
{...}groups is left unchanged.
The DaSiWa LLM / VLM nodes let you run local transformers chat or vision-language models from inside a ComfyUI workflow. They accept native STRING inputs and native IMAGE batches from nodes such as Load Image or VHS frame loaders.
- Native ComfyUI Inputs: Analyze connected text, still images, or video/image-sequence frame batches.
- Prompt Presets: Custom system instructions, LTX-2.3/Wan2.2 video prompt enhancement, and image/video caption presets for mixed tags, tag-only, or natural language.
- Memory Modes: Keep models cached for speed, unload after each response, or use the Analyze node cleanup switch to free RAM/VRAM before later steps.
- Frame Sampling: Limit video analysis with max frames, stride, frame strategy, resize controls, context limits, and optional KV-cache reduction.
- Local or HF Models: Load full model folders from
ComfyUI/models/llm, or download a Hugging Face repo id into that folder when missing.
- Activate your venv inside your ComfyUI folder
- Clone this repo into your
custom_nodesfolder:git clone https://github.com/darksidewalker/ComfyUI-DaSiWa-Nodes
- Install all dependencies:
pip install -r requirements.txt
- Requirement: NVIDIA RTX GPU with drivers 530+. (Windows users may need the NVIDIA Broadcast SDK; Linux usually works out-of-the-box with the pip package).
- Restart ComfyUI.
Search for DaSiWa-Nodes and install.
- The RTX implementation in this collection is based on the excellent work by Deno2026/comfyui-deno-custom-nodes.
- Lora-Loader is based on Brojakhoeman/Loradaddyloaderltx.
- Ideas for Watermark Overlay are inspired by Artificial-Sweetener/comfyui-WhiteRabbit






