💬 EZ Chat Box – ComfyUI Workflow
Created by Me – a filmmaker & AI workflow designer. This is a neat, all‑in‑one chat assistant built right inside ComfyUI. You can ask anything in any language – whether you need a creative prompt, a translation, or even a cheesecake recipe! It’s also designed to be reusable inside other workflows, so you can add a conversational AI to any project.
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### 🧩 Overview
This workflow loads a text/vision model of your choice (from a curated list of 12 popular CLIP‑style models) and lets you chat with it. You can feed it text, images, audio, or video – and it will respond with generated text. The model selection is dynamic, and you only need to download the models you actually want to use.
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### 1️⃣ Prerequisites & Models
The workflow supports these CLIP‑based models (all available via ComfyUI’s built‑in loaders):
| Model Name | Architecture | Best For |
|------------|--------------|----------|
| 🧠 Gemma 3 12B (FP4) | 12B Dense | Strong reasoning, multilingual |
| ⚡ Gemma 4 E4B (FP8) | 8B Edge | Efficient, multimodal (image/audio/video) |
| 🖼️ Qwen 2.5 VL 7B (FP8) | 7B Dense+ViT | Visual agent tasks |
| 💻 Qwen 3 4B | 4B Dense | Pure‑text coding & general chat |
| 📘 Qwen 3 0.6B Base | 0.6B Dense | Lightweight, fastest |
| 🌟 Qwen 3.5 4B (BF16) | 4B Hybrid | Newest hybrid architecture, unified vision |
| 🔍 Qwen 3 VL 4B (FP8) | 4B Dense+ViT | Compact vision specialist |
| 🎨 Qwen 3 VL 8B (FP8) | 8B Dense+ViT | Stronger vision than 4B |
| 🖌️ CLIP‑L | 0.4B Dense | Golden standard for text‑to‑image |
| 📚 T5‑XXL (FP16) | 11B Dense | Giant text understanding (Flux/SD3) |
| 🌐 UMT5‑XXL (FP8) | 11B Dense (FP8) | Multilingual T5 alternative, less VRAM |
> 💡 You don’t need to download all of them. Just pick the one you already have or want to try – the workflow will work with any single model you choose.
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### 3️⃣ How It Works (Chat Inside ComfyUI)
1. Select your model from the dropdown list (e.g., “🧠 Gemma 3 12B”).
2. Type your question or instruction in the prompt field – in any language.
3. Optionally, enable image/audio/video inputs and load a file – the model will process it (if it supports multimodal input).
4. Set the response length max_length) and other sampling parameters (temperature, top‑p, etc.).
5. Run the workflow – the model generates a response, which appears in the ShowText node.
You can also reuse this node inside other ComfyUI workflows by connecting it as a subgraph – perfect for adding conversational intelligence to your image/video generation pipelines.
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### 6️⃣ Advanced Settings (Optional)
- Model Choice – pick any of the 12 models; the workflow automatically loads the correct CLIP type.
- Thinking Mode – enable this to let the model show its reasoning (if supported).
- Seed & Sampling – set a fixed seed for reproducible answers, adjust temperature, top‑k, and repetition penalty.
- Multimodal Toggles – enable image, audio, or video inputs individually – the workflow only loads what you need.
- Length Control – adjust max_length to get shorter or more detailed responses.
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### 📦 Final Output
After running, you’ll get a generated text response in the ShowText node – ready to copy, save, or forward to other nodes in your workflow.
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Why I built this: I often need quick answers, prompt ideas, or translations while working on creative projects – but I don’t want to switch between apps. This chat box lets me stay inside ComfyUI, ask anything, and even use the answers as input for other nodes. It’s a simple, flexible assistant that makes the whole environment smarter. I hope you enjoy chatting with it – and remember, you only need one model to get started! 🗣️✨