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.

Full documentation →

📐 Resolution Scale Calculator

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 p targets from 144p to 2160p/4K or optimized megapixel tiers from one dropdown.
Clear Aspect Modes: IMAGE ASPECT uses the connected image shape; USE ASPECT BELOW uses the always-visible aspect controls.
Video-Safe Snapping: Standard, Div32, Div64, and custom divisor modes keep dimensions aligned for different model families.

Full documentation →

⚡ Torch Resize

A drop-in replacement for ComfyUI's built-in resize nodes that keeps images sharp and video workflows fast without extra dependencies.

Sharper results: Lanczos resampling with optional sRGB-to-linear gamma correction produces cleaner upscaling and downscaling than native bilinear/bicubic.
Video-friendly batching: Automatically splits long frame sequences into memory-safe chunks so you never run out of VRAM, while keeping output order intact.
Zero extra installs: Runs entirely on the PyTorch build ComfyUI already uses — no Pillow, torchlanc, Triton, or vendor SDK required.
Precise sizing control: Divisible-by alignment, five aspect modes (fit, fill/crop, pad, stretch, long-side crop), and configurable crop/pad placement eliminate guesswork for downstream model constraints.
Alpha preserved: Transparency channels are resized independently without gamma conversion artifacts.

Full documentation →

🎛️ Node Status Switch

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).

Full documentation →

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_01 input — new slots appear as you connect more
Set action to mute or bypass and configure trigger_on to taste
Toggle enabled directly on the switch

🎬 LTX-2 Lora Loader

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.

Full documentation →

💾 Metadata Image Saver (Civitai Ready)

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 parameters block 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.

Full documentation →

🎞️ Enhanced Video Combine

The DaSiWa Enhanced Video Combine turns an IMAGE batch into a high-quality video with optional ComfyUI AUDIO muxing, an in-node VHS-style preview, and a set of enhanced automations that choose safe output settings instead of relying on a fixed encoder setup.

DaSiWa Enhanced Video Combine

Enhanced host-aware encoding automation: Auto runtime-tests AV1 → H.265/HEVC → VP9 → H.264 and selects the first encoder that actually works on the host, preferring NVIDIA NVENC, then other GPU encoders (Intel QSV, AMD AMF, VAAPI), then software.
Enhanced container and codec safety automation: Chooses compatible WebM/MKV/MP4 combinations per codec and retains a mandatory H.264/MP4 fallback if every preferred combination fails.
Enhanced precision and preview automation: Detects 8-bit versus 10-bit source-frame precision; H.265 keeps its requested final output while an H.264 sidecar is generated automatically for browsers without HEVC playback.
Enhanced output automation: The node always re-encodes when queued, supports ping-pong loops, preserves optional workflow metadata, and names audio outputs with -audio.
Asset-panel frame automation: Enable Save first frame and/or Save last frame to write PNGs next to the video with matching names and publish the video plus each generated PNG to ComfyUI Assets.
Audio controls and preview behavior: Mux connected audio, select audio codec/bitrate, optionally crop the video to audio duration, and hover the in-node preview to unmute it automatically.
Concise diagnostics: Always writes compact ComfyUI CLI logs for codec/container selection, the actual video encoder, and the resolved audio encoder/bitrate (for example, audio=libopus/192k), plus output path and relevant fallbacks—without a logging toggle.
Built-in help: Click the small ? at the right side of the node title for a concise setting reference.

Full documentation →

🎬 Watermark Overlay

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.

Full documentation →

🖥️ System Monitor

A compact system telemetry bar integrated directly into the ComfyUI top toolbar. The adjacent DaSiWa settings button lets you hide the monitor or choose its display mode.

Multi-GPU Support: Separate metrics per GPU device (NVIDIA, AMD, Intel) labeled as GPU0, GPU1, etc.
Resource Metrics: CPU, RAM, SWAP/Pagefile, DISK, GPU Utilization, GPU VRAM, and GPU Temperature.
Visual Feedback: Color-coded borders and proportional background fills (0–100%) for instant at-a-glance assessment.
Lite / Full Modes: Lite is the default compact toolbar view; Full shows every available metric with detailed values and a live 60-second graph.
Responsive Layout: Lite automatically hides lower-priority metrics when toolbar space is limited; Full is a scrollable panel that adapts to narrow screens.
Cross-Platform: Works on Linux and Windows with automatic fallback detection for GPU tools.
Independent Placement: Renders as its own toolbar element, not dependent on third-party extensions.

Lite mode

Full mode

Full documentation →

🔀 Random String Picker

Bridge any string/text node through DaSiWa Random String Picker to randomize prompt variants inline.

Text passthrough: Accepts a connected STRING input and returns a STRING output.
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.

Full documentation →

🧠 LLM / VLM Analyze

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.

Full documentation →

🛠️ Installation

Manual install

Activate your venv inside your ComfyUI folder

Clone this repo into your custom_nodes folder:

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.

Use ComfyUI-Manager

Search for DaSiWa-Nodes and install.

Credits

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