Extensions/TA-ComfyUI-Nodes-Pack
ComfyUI Extension

TA-ComfyUI-Nodes-Pack

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

By tmode-1960·Created 10 months ago·Updated 4 months ago· 3
tmode-1960/TA-ComfyUI-Nodes-Pack
Nodes20
On cloudLocal install
CategoryTA-Nodes/LMStudio, TA-Nodes
Stars3
Updated4 months ago

Nodes (20)

📷 TA Directory Captioning
TA-Nodes/LMStudio
🧹 TA Cleanup Switch
TA-Nodes
💬 TA Discord Link
thomo.ART/utils
📁 TA Filename Generator
TA Nodes/utils
🌊 TA Flux Guidance Gate
TA Nodes/Sampling
🔗 TA Help Link
thomo.ART/utils
⚡ TA KSampler
TA Nodes/Sampling
🖼️ TA Latent Preview
TA Nodes/Sampling
🎯 TA LLM Prompt Selector
ThomasAI
📦 TA Load Model (with Name)
TA Nodes/loaders
🗂️ TA Model Presets
TA Nodes/loaders
🗂️ TA Prompt Controller
TA Nodes/text
🔀 TA Prompt Hub
TA Nodes/text
🔧 TA SageAttention Toggler
TA Smart LLM
🎛️ TA Sampler Preset
TA Nodes/Sampling
💾 TA Save Image Optional
TA Nodes/utils
📝 TA Save Image With Prompt
TA Nodes/utils
🚦 TA SeedVR2 Gate
TA Nodes
TA Smart LLM v3.8
TA Tools
🧠 TA Unified Model Switcher
TA Nodes/loaders
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