✨One-click Pod available on:✨

Just click on the link, choose a Video Card and the Template will install all you need + all my workflows.

Wan 2.2 Models are not included, you can install it using Civicomfy or ComfyUI-HuggingFace directly inside ComfyUI

IMPORTANT:

If you install RES4LYF node it will broke the MoEKSampler, to use it you have to use the KSampler included in that node.

🔥 02/21/26 UPDATE 🔥

Added LoRa Trigger Words Text Box
Addes Keep Last Prompt feature to keep the last generated prompt
Enhanced NSFW Support
NEW WF FOR I2V AND T2V STORY GENERATION

✨ NEW NODES ✨

EASY MODEL DOWNLOAD FROM HUGGINGFACE

cd ComfyUI/custom_nodes
git clone https://github.com/huchukato/ComfyUI-HuggingFace.git

RIFE INTERPOLATION WITH TENSORRT

with Auto Install (CUDA 12/CUDA 13) and Auto Model Download

cd ComfyUI/custom_nodes
git clone https://github.com/huchukato/ComfyUI-RIFE-TensorRT-Auto.git

✨MY QWEN3-VL NODE IS FINALLY IN THE MANAGER✨

Just search for "QwenVL-Mod" to install it

or dowload it from GitHub: QwenVL-Mod: Enhanced Vision-Language

ComfyUI-QwenVL-Mod - Enhanced Vision-Language with WAN 2.2

Version 2.2.2 (2026/02/19) - 🚀 Critical T2V/I2V Fixes + ComfyUI Optimizations

🌟 What is ComfyUI-QwenVL-Mod?

A powerful enhanced vision-language node for ComfyUI that combines Qwen3-VL models with professional WAN 2.2 video generation workflows. Features multilingual support, visual style detection, and NSFW capabilities for professional AI content creation.

Think: "Your all-in-one solution for intelligent prompt enhancement and video generation with cutting-edge AI models!"

🎬 Key Features

🚀 WAN 2.2 Video Generation

Text-to-Video (T2V): Professional 5-second video generation
Image-to-Video (I2V): Advanced image animation with style detection
Story Generation: 20-second continuous videos with 4 narrative segments
Storyboard Workflows: Seamless storyboard-to-storyboard generation
Cinematic Video: Professional cinematography specifications

🌐 Enhanced Capabilities

Multilingual Support: Process prompts from any language (Italian, English, etc.)
Visual Style Detection: 12+ artistic styles (anime, 3D, pixel art, puppet animation, etc.)
Smart Prompt Caching: Performance optimization with Fixed Seed Mode
GGUF Backend: Efficient local model inference with quantization support
NSFW Support: Comprehensive content generation without restrictions

🧠 Intelligent Features

Auto-Prompt Enhancement: Automatically enhance user prompts for optimal generation
Professional Cinematography: Built-in specifications for lighting, camera angles, shot types
Timeline Structure: Precise 5-second timeline with frame-by-frame descriptions
Keep Last Prompt: Generate once, preserve results while changing inputs

🎯 What's New in v2.2.2

🚀 Critical T2V/I2V Workflow Fixes

Batch Processing: Fixed critical T2V → GGUF issue with batch images
Frame Detection: Added automatic batch detection and individual frame processing
Video Support: Enhanced video frame processing with proper shape handling
Debug Enhanced: Comprehensive logging for batch processing troubleshooting

🔄 Same Model Reuse Fix

Conflict Resolution: Fixed crash when using same model between T2V and I2V nodes
Memory Management: Enhanced cleanup with CUDA synchronization and timing
Signature Mismatch: Resolved different signature patterns between nodes
Aggressive Cleanup: Forced complete VRAM cleanup before model reload

🔧 keep_model_loaded Enhancement

Missing Parameter: Added keep_model_loaded to PromptEnhancer node
Consistent Behavior: Both GGUF and PromptEnhancer now have identical memory management
Conditional Cleanup: Proper cleanup based on keep_model_loaded setting
User Control: Full control over memory usage vs performance

🎬 WAN 2.2 Story Workflow - Revolutionary AI Storytelling

📖 AI Story Generation

4-Segment Videos: Automatic 20-second videos (4 × 5-second segments)
Narrative Continuity: Perfect story flow between segments
NSFW Support: Enhanced adult content generation
Timeline-Free: Natural storytelling without time markers

🔄 Smart Auto-Split

Story Split Node: Intelligent prompt separation technology
Auto-Detection: Handles any separator format automatically
4-Output Guarantee: Always produces exactly 4 prompts
Debug Mode: Built-in troubleshooting information

📦 Installation

Requirements

ComfyUI: v0.13.0+
GPU: 8GB+ VRAM (16GB+ recommended)
System: Windows/Linux/Mac
Python: 3.10+ (or use provided Docker environment)

Quick Install

Download ComfyUI-QwenVL-Mod v2.2.0
Extract to ComfyUI/custom_nodes/ComfyUI-QwenVL-Mod
Restart ComfyUI
Load included workflows

Docker/Cloud Ready

RunPod: Pre-configured templates available
VastAI: Optimized instances ready
Local: Docker support included

🎮 Usage Examples

Basic Text-to-Video

Load WAN2.2-I2V-AutoPrompt.json
Input your text prompt
Select model (HF or GGUF)
Generate enhanced video

Image-to-Video with Style

Load WAN2.2-I2V-AutoPrompt.json
Upload your image
Enable style detection
Generate animated video

AI Story Generation

Load WAN2.2-I2V-AutoPrompt-Story.json
Input your story idea
Auto-split into 4 segments
Generate 20-second story video

🔧 Technical Specifications

⚡ Performance

Context: 65,536 tokens (8B models)
Memory: Optimized VRAM usage
Stability: Crash-free operation
Speed: Fast generation times

🎨 Model Support

Qwen3-VL 4B: 7 GGUF variants (2.38GB-4.28GB)
Qwen3-VL 8B: 7 GGUF variants (4.8GB-8.71GB)
HF Models: Josiefed and official variants
Quantization: Q4_K_S, Q5_K_S for VRAM efficiency

🌐 Multilingual Capabilities

Input Languages: Any language supported
Auto-Translation: Automatic translation to optimized English
Style Detection: Works with multilingual prompts
Cultural Adaptation: Context-aware prompt enhancement

🎯 Included Workflows

🍿 WAN 2.2 Presets

Wan 2.2 I2V: Image-to-video with timeline structure
Wan 2.2 T2V: Text-to-video with professional specs
Wan Extended Storyboard: Multi-segment continuity
Wan Cinematic Video: Single scene with cinematography

🔥 Advanced Features

NSFW Enhancement: Uncensored content generation
Professional Lighting: 8 light types + 9 qualities
Camera Control: 6 shot types + 5 compositions
Color Grading: 4 tone options

🎨 Visual Style Detection

Automatically detects and enhances:

Anime style - Japanese animation aesthetics
3D cartoon - Computer-generated animation
Pixel art - Retro gaming graphics
Puppet animation - Stop-motion style
3D game style - Video game graphics
Claymation - Clay animation
Watercolor - Painting style
Black and white animation - Monochrome
Oil painting style - Classical art
Felt style - Textile art
Tilt-shift photography - Miniature effect
Time-lapse photography - Speed photography

🔥 NSFW Content Support

Enhanced Generation

Explicit Content: Uncensored adult descriptions
Detailed Scenes: 8-12 sentences per segment
Natural Progression: Smooth story flow
Style Adaptation: Automatic visual style matching
Quality: Consistent characters & scenes

Professional Applications

Adult Content: Industry-standard generation
Artistic Nudity: Classical art styles
Educational: Anatomy and artistic study
Creative: Artistic expression

🚀 Why Choose ComfyUI-QwenVL-Mod?

🎬 For Content Creators

Storytelling: Create compelling narratives
Efficiency: One prompt → complete video
Quality: Professional video output
Flexibility: Any genre, any style

🔥 For NSFW Content

Explicit: Uncensored generation
Detailed: Rich scene descriptions
Continuous: Smooth story flow
Natural: Realistic progression

⚡ For Power Users

Customizable: Easy to modify
Extendable: Add more segments
Integrable: Works with existing setups
Optimized: Maximum performance

📥 Download & Support

Get Started

Download: ComfyUI-QwenVL-Mod v2.2.0
Install: Follow standard installation
Load: Included workflows
Create: Your first AI-enhanced video!

Community & Support

GitHub: Repository
Issues: Report bugs and request features
Discord: Community support (coming soon)
Documentation: Complete guides and tutorials

🌟 What Makes This Special?

First: Complete AI story system with vision enhancement
Smart: Intelligent prompt splitting and enhancement
Complete: End-to-end solution from text to video
Optimized: Performance-tuned for professional use
Ready: Works out-of-the-box with included workflows

🎬 Create Amazing AI Videos Today!

Transform your ideas into stunning videos with the power of Qwen3-VL vision enhancement and WAN 2.2 video generation.

Perfect for creators, artists, and professionals looking for the ultimate AI video enhancement tool! 🌟

Built with ❤️ for the ComfyUI community

🔖 README

🔶 All the images used to create the videos in the gallery are generated with PimpMyPony 🔶

The new version is out today, with a brand new anime style ✨

WORKFLOWS TESTED ON:

ComfyUI 0.15.0
Python 3.12.12
Pytorch 2.9.1 + CUDA 13.0

🟣 Credits

This workflows are intended to be used with the models by taek75799 as they follow the structure of Dynamic Prompts you can find under these models:

WAN 2.2 Enhanced NSFW | SVI | camera prompt adherence (Lightning Edition) I2V and T2V fp8 GGUF

🟣 Other tested models:

Smooth Mix Wan 2.2 14B (I2V/T2V) by DigitalPastel | GGUF versions by Santodan
Wan2.2-Remix (T2V&I2V) by FX_FeiHou | GGUF versions by Santodan

Thanks to all the users who are commenting and helping me improve the workflows ❤️

🔖 FULL T2V AUTOPROMPT GUFF

🛑 Experimental WF 🛑

Start with a T2V prompt and extend the generated video with I2V

This workflow requires both T2V and I2V Wan 2.2 Models

🔖 SVI I2V AUTOPROMPT 1.2

Thanks to taek75799 for his models ❤️

SVI LORAS:

LIGHTX2V LoRaS are not included in the model

🔖 FULL I2V AUTOPROMPT 1.7

Complete workflow that includes:

Long Video Generation [from 5 to 20 seconds]
Auto Prompting [Qwen3-VL]
Upscale [2xLexicaRRDBNet and Tensorrt]
Frame Interpolation [30fps and 60fps for img2vid | 24fps and 50fps for MMAudio]
MMAudio [NSFW Unlocked]

📝 AUTO PROMPT

Prompt Description Box [Multilanguage ITA ENG]: Just write your idea and the LLM will do the rest, formatting the prompt in the dynamic prompt format used in the Wan 2.2 models
Final Prompt Preview: Shows up the final prompt

🔶 QWEN3-VL NODE FOR GGUF MODELS 🔶

🔖 To use the Qwen3-VL GGUF Quantized models you have to install llama-cpp-python

If you are not comfortable in manual install the llama, just go with the normal version inside Full-I2V-LongVideo

🛑 STOP COMFYUI

📂 Activate the ComfyUI Virtual Enviroment

In your ComfyUI root installation folder type:

on Windows:

Command Prompt:

\venv\Scripts\activate.bat

or Power Shell:

\venv\Scripts\Activate.ps1

on Linux:

. /venv/bin/activate

If you use ComfyUI Desktop:

Click on Console and then on Terminal

⬇️ Install llama-cpp-python

pip install --upgrade --force-reinstall --no-cache-dir "llama-cpp-python @ git+https://github.com/JamePeng/llama-cpp-python.git"

🔄 Restart ComfyUI and enjoy

📝 SWITCH CLIP

By default the WF uses the GGUF node to load quantized Clip, if you wanna switch to the NSFW Clip model, you have to bypass the GGUF node and connect the other Clip loader to the "Set_CLIP"

ACCELERATION:

Triton is disabled by default, you can enable it by opening the first Subgraph

Inside the workflow you will find all the links to download the models you will need

That's all, hope you enjoy ^^