VisionHarvester-v1

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.

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🚀 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.

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📂 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

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🟩 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

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🖼 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. \\

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🔒 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.

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🧩 Use Cases

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

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🧱 Author

GritAI Solutions LLC
Robert "BonusLockSmith" Lucyk
Lawton, Oklahoma

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MIT licensed. Free for personal and commercial use.