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2025-12-04 17:03:21 +08:00
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Example/ZimageDefault.json
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"## Report issue\n\nIf you found any issues when running this workflow, [report template issue here](https://github.com/Comfy-Org/workflow_templates/issues)\n\n\n## Model links\n\n**text_encoders**\n\n- [qwen_3_4b.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/text_encoders/qwen_3_4b.safetensors)\n\n**diffusion_models**\n\n- [z_image_turbo_bf16.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/diffusion_models/z_image_turbo_bf16.safetensors)\n\n**vae**\n\n- [ae.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/vae/ae.safetensors)\n\n\nModel Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 text_encoders/\n│ │ └── qwen_3_4b.safetensors\n│ ├── 📂 diffusion_models/\n│ │ └── z_image_turbo_bf16.safetensors\n│ └── 📂 vae/\n│ └── ae.safetensors\n```\n\n"
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README.md
+68 -60
View File
@@ -255,65 +255,53 @@ Output: ["Chapter3", "Chapter1"] (randomized)
### Overview
The **QwenGPUInference** node is an AI-powered photo prompt optimizer that transforms simple scene descriptions into detailed, professional photography prompts. It uses the Qwen3-4B language model with intelligent GPU memory management and CPU offload support for seamless integration with ComfyUI.
The **QwenGPUInference** node is an AI-powered text generation node that uses the Qwen3-4B language model with intelligent GPU memory management and CPU offload support for seamless integration with ComfyUI. It can transform simple descriptions into detailed, professional prompts using customizable templates.
### Features
- **Automatic Model Detection**: Finds qwen_3_4b.safetensors in text_encoders folder
- **Automatic Model Detection**: Automatically finds Qwen safetensors files in `text_encoders` or `clip` folders
- **Smart Memory Management**: Automatically detects GPU memory and chooses optimal loading strategy
- **CPU Offload Support**: Works alongside other ComfyUI models without memory conflicts
- **Professional Prompt Generation**: Transforms simple descriptions into detailed photography prompts
- Full GPU mode (≥7.5GB free): ~26-30 tokens/second
- CPU Offload mode (<7.5GB free): ~1-2 tokens/second, coexists with other models
- **Template System**: Select from pre-made prompt templates in the `Prompt` folder or use custom prompts
- **Bilingual Support**: Handles both Chinese and English inputs
- **Automatic Config Download**: Downloads required model configuration files from HuggingFace
- **Think Tag Removal**: Automatically removes model reasoning process from output
- **Think Tag Removal**: Automatically removes `<think>...</think>` reasoning tags from output
### Requirements
- **GPU**: NVIDIA GPU with CUDA support (12GB+ recommended, works with less using CPU offload)
- **Model File**: qwen_3_4b.safetensors in `ComfyUI/models/text_encoders/`
- **Model Files**:
- **Required**: `qwen_3_4b.safetensors` (or similar Qwen3-4B safetensors file)
- **Location**: Place in either `ComfyUI/models/text_encoders/` or `ComfyUI/models/clip/`
- **Python Packages**: transformers, safetensors, torch
### Model Setup
1. Download `qwen_3_4b.safetensors` from [Hugging Face](https://huggingface.co/Qwen/Qwen3-4B)
2. Place the file in `ComfyUI/models/text_encoders/`
3. First run will automatically download configuration files
1. Download Qwen3-4B safetensors from [Hugging Face](https://huggingface.co/Qwen/Qwen3-4B)
- Recommended filename: `qwen_3_4b.safetensors`
2. Place the file in `ComfyUI/models/text_encoders/` or `ComfyUI/models/clip/`
3. First run will automatically download configuration files to a `_config` subfolder
### Parameters
| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `user_prompt` | STRING | "一個女孩在咖啡廳" | Simple scene description |
| `system_prompt` | STRING | (see below) | Professional photography optimization prompt |
| `max_new_tokens` | INT | 2048 | Maximum length of generated prompt |
| `user_prompt` | STRING | "A girl in a coffee shop" | Your input text/description |
| `prompt_template` | COMBO | "Custom" | Select a template from the Prompt folder or use "Custom" |
| `system_prompt` | STRING | "" | Custom system prompt (used when template is "Custom") |
| `max_new_tokens` | INT | 2048 | Maximum length of generated text |
| `temperature` | FLOAT | 0.7 | Creativity level (0.0-2.0) |
| `do_sample` | BOOLEAN | True | Enable sampling for varied outputs |
| `top_p` | FLOAT | 0.9 | Nucleus sampling threshold |
| `top_k` | INT | 50 | Top-k sampling parameter |
### Default System Prompt
### Template System
The node uses a specialized system prompt optimized for generating professional photography descriptions:
```
You are a professional photography prompt optimization expert. Transform simple scene descriptions into detailed, professional photography prompts.
Include these elements:
1. Subject Description: Detailed main subject (person, object, scene)
2. Environment Details: Surrounding environment, background, atmosphere
3. Lighting Effects: Light type, direction, contrast, color temperature
4. Camera Settings: Perspective, depth of field, focal length
5. Composition: Layout, foreground/midground/background
6. Color Atmosphere: Main colors, color matching, saturation
7. Texture Details: Materials, textures, detail expression
8. Mood Atmosphere: Overall atmosphere, emotional expression
Output Format:
- Use English for professional photography terms
- Separate elements with commas
- Ensure descriptions are specific and visual
- Length: 150-300 English words
```
The node supports customizable prompt templates stored in the `Prompt` folder as `.md` files:
- **Custom**: Use the `system_prompt` parameter directly
- **Template Files**: Select from available `.md` files in the `Prompt` folder
- Templates automatically replace the `system_prompt` parameter when selected
### Loading Strategies
@@ -342,16 +330,19 @@ The node automatically selects the best loading strategy based on available GPU
### Usage Examples
#### Example 1: Simple Chinese Input
#### Example 1: Using a Template
```
Input: "一個女孩在咖啡廳"
User Prompt: "一個女孩在咖啡廳"
Template: (photography template from Prompt folder)
Output: "A young woman sitting by the window in a cozy coffee shop, warm afternoon sunlight streaming through large glass windows creating soft shadows, wearing casual outfit, holding a cup of coffee, wooden table with laptop and notebook, blurred background with other customers, shallow depth of field, bokeh effect, warm color temperature, golden hour lighting..."
```
#### Example 2: English Input
#### Example 2: Custom System Prompt
```
Input: "a cat sitting on a windowsill"
Output: "A calico cat sitting on a sunlit windowsill, its long fur catching golden-hour light from the right, creating soft shadows across its face and body, wearing a quiet expression of peaceful solitude, surrounded by indoor plants and a wooden bookshelf in the background, shallow depth of field with bokeh-like blur..."
User Prompt: "a cat sitting on a windowsill"
Template: "Custom"
System Prompt: "Describe the scene in poetic detail"
Output: "A calico cat sitting on a sunlit windowsill, its long fur catching golden-hour light from the right, creating soft shadows across its face and body, wearing a quiet expression of peaceful solitude, surrounded by indoor plants and a wooden bookshelf in the background..."
```
### Memory Management
@@ -375,8 +366,9 @@ The node includes intelligent memory management:
### Troubleshooting
**Model not found**
- Ensure `qwen_3_4b.safetensors` is in `models/text_encoders/`
- Check filename matches exactly (case-sensitive)
- Ensure a Qwen safetensors file is in `models/text_encoders/` or `models/clip/`
- Recommended filename: `qwen_3_4b.safetensors` (containing "qwen", "3", and "4b")
- The node automatically searches for compatible Qwen model files
**Out of memory**
- Node will automatically use CPU offload
@@ -643,42 +635,54 @@ NumberListGenerator 節點可根據自訂參數創建數字列表，支援有序
### 概述
**QwenGPUInference** 節點是一個 AI 驅動的照片提示詞優化器，將簡單的場景描述轉換為詳細、專業的攝影提示詞。使用 Qwen3-4B 語言模型，具備智能 GPU 記憶體管理和 CPU Offload 支援，可與 ComfyUI 無縫整合。
**QwenGPUInference** 節點是一個 AI 驅動的文本生成節點，使用 Qwen3-4B 語言模型，具備智能 GPU 記憶體管理和 CPU Offload 支援，可與 ComfyUI 無縫整合。可使用自訂模板將簡單描述轉換為詳細、專業的提示詞。
### 功能特色
- **自動模型偵測**：自動在 text_encoders 資料夾中尋找 qwen_3_4b.safetensors
- **自動模型偵測**：自動在 `text_encoders` 或 `clip` 資料夾中尋找 Qwen safetensors 檔案
- **智能記憶體管理**：自動檢測 GPU 記憶體並選擇最佳載入策略
- **CPU Offload 支援**：可與其他 ComfyUI 模型共存，無記憶體衝突
- **專業提示詞生成**：將簡單描述轉換為詳細的攝影提示詞
- 完全 GPU 模式（可用 ≥7.5GB）：~26-30 tokens/秒
- CPU Offload 模式（可用 <7.5GB）：~1-2 tokens/秒，可與其他模型共存
- **模板系統**：從 `Prompt` 資料夾選擇預製模板或使用自訂提示詞
- **雙語支援**：處理中文和英文輸入
- **自動配置下載**：從 HuggingFace 自動下載所需的模型配置檔案
- **思考標籤移除**：自動移除模型推理過程
- **思考標籤移除**：自動移除 `<think>...</think>` 推理標籤
### 需求
- **GPU**：支援 CUDA 的 NVIDIA GPU（建議 12GB+，記憶體較少時使用 CPU offload）
- **模型檔案**：qwen_3_4b.safetensors 放在 `ComfyUI/models/text_encoders/`
- **模型檔案**：
- **必需**：`qwen_3_4b.safetensors`（或類似的 Qwen3-4B safetensors 檔案）
- **位置**：放在 `ComfyUI/models/text_encoders/` 或 `ComfyUI/models/clip/`
- **Python 套件**：transformers、safetensors、torch
### 模型設置
1. 從 [Hugging Face](https://huggingface.co/Qwen/Qwen3-4B) 下載 `qwen_3_4b.safetensors`
2. 將檔案放在 `ComfyUI/models/text_encoders/`
3. 首次執行會自動下載配置檔案
1. 從 [Hugging Face](https://huggingface.co/Qwen/Qwen3-4B) 下載 Qwen3-4B safetensors
- 建議檔名：`qwen_3_4b.safetensors`
2. 將檔案放在 `ComfyUI/models/text_encoders/` 或 `ComfyUI/models/clip/`
3. 首次執行會自動下載配置檔案至 `_config` 子資料夾
### 參數說明
| 參數 | 類型 | 預設值 | 說明 |
|------|------|--------|------|
| `user_prompt` | STRING | "一個女孩在咖啡廳" | 簡單場景描述 |
| `system_prompt` | STRING | (見下方) | 專業攝影優化提示詞 |
| `max_new_tokens` | INT | 2048 | 生成提示詞的最大長度 |
| `user_prompt` | STRING | "A girl in a coffee shop" | 您的輸入文字/描述 |
| `prompt_template` | COMBO | "Custom" | 從 Prompt 資料夾選擇模板或使用 "Custom" |
| `system_prompt` | STRING | "" | 自訂系統提示詞（模板為 "Custom" 時使用）|
| `max_new_tokens` | INT | 2048 | 生成文字的最大長度 |
| `temperature` | FLOAT | 0.7 | 創意程度 (0.0-2.0) |
| `do_sample` | BOOLEAN | True | 啟用採樣以產生變化輸出 |
| `top_p` | FLOAT | 0.9 | Nucleus 採樣閾值 |
| `top_k` | INT | 50 | Top-k 採樣參數 |
### 模板系統
節點支援儲存在 `Prompt` 資料夾中的自訂提示詞模板（`.md` 檔案）：
- **Custom**：直接使用 `system_prompt` 參數
- **模板檔案**：從 `Prompt` 資料夾中的 `.md` 檔案選擇
- 選擇模板時會自動取代 `system_prompt` 參數
### 載入策略
節點會根據可用 GPU 記憶體自動選擇最佳載入策略：
@@ -706,16 +710,19 @@ NumberListGenerator 節點可根據自訂參數創建數字列表，支援有序
### 使用範例
#### 範例 1：簡單中文輸入
#### 範例 1：使用模板
```
輸入: "一個女孩在咖啡廳"
使用者提示詞: "一個女孩在咖啡廳"
模板: (Prompt 資料夾中的攝影模板)
輸出: "A young woman sitting by the window in a cozy coffee shop, warm afternoon sunlight streaming through large glass windows creating soft shadows, wearing casual outfit, holding a cup of coffee, wooden table with laptop and notebook, blurred background with other customers, shallow depth of field, bokeh effect, warm color temperature, golden hour lighting..."
```
#### 範例 2：英文輸入
#### 範例 2：自訂系統提示詞
```
輸入: "a cat sitting on a windowsill"
輸出: "A calico cat sitting on a sunlit windowsill, its long fur catching golden-hour light from the right, creating soft shadows across its face and body, wearing a quiet expression of peaceful solitude, surrounded by indoor plants and a wooden bookshelf in the background, shallow depth of field with bokeh-like blur..."
使用者提示詞: "a cat sitting on a windowsill"
模板: "Custom"
系統提示詞: "用詩意的細節描述場景"
輸出: "A calico cat sitting on a sunlit windowsill, its long fur catching golden-hour light from the right, creating soft shadows across its face and body, wearing a quiet expression of peaceful solitude, surrounded by indoor plants and a wooden bookshelf in the background..."
```
### 記憶體管理
@@ -739,8 +746,9 @@ NumberListGenerator 節點可根據自訂參數創建數字列表，支援有序
### 疑難排解
**找不到模型**
- 確保 `qwen_3_4b.safetensors` 在 `models/text_encoders/`
- 檢查檔案名稱完全符合（區分大小寫）
- 確保 Qwen safetensors 檔案在 `models/text_encoders/` 或 `models/clip/`
- 建議檔名：`qwen_3_4b.safetensors`（包含 "qwen"、"3" 和 "4b"）
- 節點會自動搜尋相容的 Qwen 模型檔案
**記憶體不足**
- 節點會自動使用 CPU offload