ComfyUI Extension: TA-ComfyUI-Nodes-Pack

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Run ComfyUI workflows without the setup

No installs, no CUDA version roulette, no GPU sitting idle on your bill. Bring a workflow and run it in the browser.

Some useful nodes for ComfyUI (model loader & extensions for EBU-LMStudio)

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    README

    TA-ComfyUI-Nodes-Pack

    Custom nodes for ComfyUI by thomo.ART.

    ⚠️ Breaking Change – Version 2.x is not compatible with 1.x nodes. Workflows built with version 1.x must be rebuilt. Node names, inputs, and outputs have changed significantly.

    TA-FLEXMOD-LMS Workflow

    Overview

    A collection of nodes designed for use in thomo.ART workflows, focused on flexible multi-model image generation with LLM/VLM integration, structured prompt routing, and clean workflow management.

    The full documentation is available via the built-in Help button in each node (opens in your browser at http://localhost:8188/ta-nodes/wiki/index.html).

    Credits

    This project was inspired by or builds upon the following open-source works:

    Tested on the following system:

    • CPU: AMD Ryzen 9 5900X
    • RAM: 64GB
    • GPU: RTX 3090 (24GB VRAM)
    • Python: 3.12.10
    • Torch version: 2.9.1+cu130
    • Triton version: 3.5.1
    • LM Studio: 0.4.12 (Build 1)
    • Ollama: 0.21.0
    • ComfyUI: 0.19.3

    Changelog

    v2.0.9 changed ta_smart_llm to v3.8

    • added a reasoning output to TA Smart LLM

    v2.0.8 changed ta_smart_llm to v3.7

    v3.3 — Empty LLM response detection: status output now shows a warning instead of silently passing an empty prompt downstream. v3.4 — Added thinking_mode toggle (✅ Thinking ON / ❌ Thinking OFF) to strip or keep the [think]...[/think} block from models with reasoning/thinking capabilities. v3.5 — LM Studio 0.4.7+ compatibility: the node now reads reasoning_content as fallback when content is empty, fixing the blank prompt issue introduced in newer LM Studio versions. v3.6 — Fixed inverted thinking_mode logic and refactored response parsing to correctly handle all three scenarios: LM Studio 0.4.6 (content with tags), LM Studio 0.4.7+ (reasoning_content without tags), and Ollama. v3.7 — Renamed internal parameter strip_thinking to thinking_mode for clarity.

    v2.0.6 changed ta_smart_llm to v3.2

    • request_timeout is built as an INT widget between max_tokens and unload_image_models_first — default 120s, adjustable from 30 to 600s in increments of 30.

    v2.0.5 changed .gitignore

    • All JSON files have been added to Gitignore so that they will no longer be overwritten during an update.

    v2.0.3 changed ta_smart_llm
    ta_smart_llm v3.1:

    • unload_image_models_first and unload_llm_after now default to True. Note that existing nodes in the workflow retain their saved values—the new default only applies to newly placed nodes.

    v2.0.2 changed ta_smart_llm
    ta_smart_llm v3.0 is the consolidated version with all fixes:

    • Active models are now displayed at the top of the dropdown, offline models at the bottom — no validation error
    • timeout=0.5 for all backend queries
    • IS_CHANGED returns "disabled" if llm_enable=False — the node is cached
    • _flush_lmstudio_context removed — saves the 0.5s pause before vision requests
    • temperature + max_tokens as configurable parameters

    Nodes

    🧠 TA Unified Model Switcher

    Switch between multiple models without changing the workflow. Uses a dropdown to select the active model – all others are skipped via lazy evaluation. Model list is configured via a browser-based editor.

    🗂️ TA Model Preset

    Load MODEL, CLIP, and VAE from a named preset. Supports Diffusion Models ([D]), GGUF ([G]), and Checkpoints ([C]). Presets are managed via a browser-based editor.

    📦 TA Load Model (with Name)

    Combined loader for all three model types. Auto-detects the type from the filename prefix and outputs a TA_MODEL_NAME string for use with the Filename Generator.

    🤖 TA Smart LLM

    Text-to-prompt and image-to-prompt via LM Studio or Ollama. Automatically detects vision-capable models. Supports VRAM management and model caching.

    🔀 TA Prompt Hub

    Central prompt collector. Passes through positive prompt, negative prompt, additional prompt, and LoRA trigger words. Combines non-empty parts into a single combined_prompt output.

    🗂️ TA Prompt Controller

    Routes between a manually typed prompt and a generated prompt (e.g. from TA Smart LLM). Five modes: Manual Only, Generated Only, two Combine orders, and Clear/Empty.

    🎛️ TA Sampler Preset & ⚡ TA KSampler

    Designed as a pair. TA Sampler Preset loads sampling parameters (steps, CFG, sampler, scheduler, start/end step) from a JSON file via browser editor. TA KSampler accepts sampler and scheduler as plain strings and provides live latent preview per step.

    🧹 TA Cleanup Switch

    Combined VRAM and RAM cleanup in one switchable node. Replaces a three-node cleanup chain. Passes any signal through unchanged. Can be fully disabled with zero overhead.

    🌊 TA Flux Guidance Gate

    Automatically applies Flux Guidance to conditioning when the active sampler preset is FLUX-based (detected via the preset name). Passes conditioning through unchanged for all other presets.

    🔧 TA SageAttention Toggler

    Patches a model with SageAttention and/or PyTorch FP16 matmul acceleration. Supports all five SageAttention kernel variants. Both patches are independent and toggleable.

    📁 TA Filename Generator

    Generates structured output file paths from folder, subfolder (supports strftime date codes), prefix, workflow version, model name, and timestamp. Returns both a base path and an upscaled variant path.

    💾 TA Save Image Optional

    Saves images as JPEG or WebP with configurable quality. Includes an enable toggle and optional companion .txt files with prompts and timestamp.

    💾 TA Save Image With Prompt

    Extends ComfyUI's built-in SaveImage with optional companion .txt files containing prompts and timestamp. Always saves as PNG.

    🎬 TA SeedVR2 Gate

    Enable/disable gate for the SeedVR2 upscaler pipeline using lazy evaluation. When disabled, all upstream nodes (including the ~14 GB model loaders) are skipped entirely.

    💬 TA Discord Link

    Displays a clickable Discord invite link directly inside the ComfyUI graph. URL and button label are configurable via a browser-based editor.

    Installation

    Via ComfyUI Manager

    Search for TA ComfyUI Nodes Pack in the ComfyUI Manager and install.

    Manual

    cd ComfyUI/custom_nodes
git clone https://github.com/thomoart/TA-ComfyUI-Nodes-Pack

    Restart ComfyUI after installation.

    Documentation

    Full node documentation (DE/EN) is built into the pack and accessible directly from ComfyUI via the 🔗 TA Help Link node or at:

    http://localhost:8188/ta-nodes/wiki/index.html

    License

    • Node Pack: Apache 2.0
    • Workflows: CC-BY-NC-SA 4.0

    Links

    ko-fi

    Run ComfyUI workflows without the setup

    No installs, no CUDA version roulette, no GPU sitting idle on your bill. Bring a workflow and run it in the browser.

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