README.md

---
license: mit
library_name: prompt-tool
tags:
  - stable-diffusion
  - comfyui
  - sdxl
  - qwen-vl
  - prompt-extraction
  - style-extraction
  - pose-extraction
  - text-generation
  - vision-language
  - gritai
  - visionharvester
model_index:
  - name: VisionHarvester-v1
    results: []
---


 
 # VisionHarvester v1 — Identity-Safe Image Style & Pose Extractor

**By GritAI Solutions LLC**

VisionHarvester v1 is a lightweight prompt-based extraction tool for creators working with Stable Diffusion, ComfyUI, SDXL, LoRA training, and Qwen-VL workflows.

It converts a reference image into clean, modular, identity-safe text blocks you can reuse for character building, style replication, dataset generation, and scene reconstruction — without copying real people.

---

## 🚀 What VisionHarvester v1 Does

VisionHarvester is built around five reusable components:

### 1. Base Identity (Safe & Generic)
A neutral description of the subject that includes:
- General body type
- Hair color and basic hairstyle
- Clothing and fabric behavior
- Broad, non-identifying facial description

No pose, no emotion, no personality.

### 2. Pose (Geometry Only)
Short, comma-separated fragments describing:
- Limb positions
- Body orientation
- Weight distribution
- Head/hip angles

No outfit, no style, no emotion.

### 3. Outfit & Materials
Details about:
- Clothing type and cut
- Colors
- Fabric texture and behavior (matte, glossy, stretchy)
- Accessories

### 4. Camera & Lighting
Information about:
- Framing (close-up, half body, full body)
- Camera angle / lens feel
- Lighting direction and softness
- Major shadows and highlights

### 5. Style Tags
Reusable tags such as:
- studio fitness look
- clean background
- soft cinematic lighting
- high-resolution texture

These drop straight into Stable Diffusion prompts.

---

## 📂 Included in This Repository

- README.md — this documentation
- LICENSE — MIT license
- isionharvester_v1_extractor.prompt.txt — main extraction prompt
- VisionHarvester-PoseStyleExtractor.json — ComfyUI workflow (optional)
- examples/ — sample images and their extracted outputs

Example files:
- examples/example_01.png
- examples/example_01_output.txt
- examples/example_02.png
- examples/example_02_output.txt
- examples/example_03.png
- examples/example_03_output.txt

---

## 🟩 Main Extraction Prompt (v1)

This is the core VisionHarvester v1 prompt shipped in isionharvester_v1_extractor.prompt.txt:

\\\
Extract a clean, neutral description of the woman in the image.

Keep it simple:
• No pose or body positioning
• No emotions or personality
• No unique facial identifiers
• No NSFW content
• Do describe hair, body type (general), clothing, colors, fabrics, and broad facial features

Output 2–4 sentences that would work as a Stable Diffusion base identity block.
\\\

Use this in:
- Qwen-VL custom prompt
- Any Vision-LLM
- ComfyUI Qwen nodes
- Image-to-text or SD prompt pipelines

---

## 🖼 Example Outputs

Example of the kind of identity-safe text this prompt produces:

\\\
An athletic woman with long dark hair, a medium tan complexion, and soft neutral facial features without distinctive identifiers. She is wearing a fitted black sports bra made from matte stretch fabric and high-waisted leggings. Her appearance is clean, simple, and suitable as a Stable Diffusion base identity.
\\\

---

## 🔒 Identity & Safety

VisionHarvester v1 is designed to:
- Avoid 1:1 face cloning
- Avoid unique facial markers
- Avoid real-person or celebrity references
- Avoid explicit or NSFW content

It focuses on style, clothing, pose, and scene — not identity.

---

## 🧩 Use Cases

- Character consistency
- Pose and outfit reuse
- LoRA dataset prep
- Style transfer
- Scene reconstruction
- Visual prompt creation
- Multi-lane ComfyUI pipelines

---

## 🧱 Author

**GritAI Solutions LLC**  
Robert "BonusLockSmith" Lucyk  
Lawton, Oklahoma

---

MIT licensed. Free for personal and commercial use.