LTX2 Prompt Architect (Ollama Edition)

Generate LTX-Video 2.3 optimized prompts using a local Ollama LLM.

Drop-in replacement for the proprietary LTX2PromptArchitectQwen node.

Features

• 🏠 100% Local — Calls your local Ollama, no cloud API keys needed
• 🎬 LTX-Video 2.3 Optimized — System prompt tuned for LTX-Video's attention mechanism
• 🎛️ 6 Preset Selectors — Quality / Style / Mood / Camera / Lighting / Audio
• 🖼️ Image-Aware — Accepts scene_context from Qwen-VL or other vision models
• 🔄 Compatible — Same 3-output interface (PROMPT, NEG_PROMPT, PREVIEW) as the original node
• 🪶 Zero Dependencies — Uses Python stdlib only (json, urllib, random)

Requirements

• ComfyUI (any recent version)
• Ollama running locally with a model installed
  • Recommended: qwen3.5-9b or qwen3-14b
  • Check available models: ollama list

Installation

cd ComfyUI/custom_nodes
git clone https://github.com/ForMyQQ/ComfyUI-LTX2PromptArchitectOllama.git
# Or copy the folder manually

Restart ComfyUI. The node will appear under LTX-Video/Prompt as 🔄 LTX2 Prompt Architect (Ollama).

Usage

1. Make sure Ollama is running: ollama serve
2. Add the node to your workflow
3. Fill in user_input with your creative intent
4. Optionally connect scene_context from a vision model (e.g. Qwen-VL)
5. Adjust presets as needed
6. Run — the node outputs PROMPT / NEG_PROMPT / PREVIEW

Wiring in AI2V Audio Workflow

Replace the original LTX2PromptArchitectQwen node:

Original Output	This Node Output	Connect To
PROMPT	PROMPT	→ CLIPTextEncode (positive)
NEG_PROMPT	NEG_PROMPT	→ Text Concatenate → CLIPTextEncode (negative)
PREVIEW	PREVIEW	→ ShowText (debug)

Parameters

Parameter	Type	Default	Description
user_input	STRING	""	Your creative intent
model_name	STRING	writer-fast-qwen3.5-9b-q8_0	Ollama model name
quality_preset	COMBO	0.8 - Balanced Professional	Quality level
max_tokens	INT	512	LLM max output tokens
temperature	FLOAT	0.7	LLM sampling temperature
seed	INT	-1	Random seed (-1 = random)
scene_context	STRING	""	Image description from VL model
frame_count	INT	97	Target frame count
width	INT	832	Video width
height	INT	480	Video height
style	COMBO	None	Visual style override
mood	COMBO	None	Emotional atmosphere
camera	COMBO	None	Camera movement
lighting	COMBO	None	Lighting style
audio_style	COMBO	None	Audio generation hint
ollama_base_url	STRING	http://localhost:11434	Ollama API URL

Troubleshooting

Issue	Solution
Cannot connect to Ollama	Run ollama serve in a terminal
model not found	Run ollama pull writer-fast-qwen3.5-9b-q8_0
LLM output is not valid JSON	Try lowering temperature or switching model
Slow generation	Normal for CPU inference; GPU-accelerated Ollama is faster

License

MIT License — see LICENSE.