ObjectRemove_Klein_Image Object Removal
更新2026-01-24 01:21发布时间2026-01-24 01:21
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ObjectRemove_Klein_Image Object Removal - 1
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Gugugaga
类型
LoRA
基础模型
FLUX.2 Klein
发布时间
2026-01-24 01:21
文件签名
3b45fdedc3636389b12fcf02c42daa032fc98391105748baa1b7d8260fdb0497
ObjectRemove_Klein_画面去物.safetensors
72.52 MB

🧠 Model Overview | What It Does

ObjectRemove_Klein_Smart Removal is an AI inpainting LoRA model based on flux.2_klein, specifically designed for clearing image distractions and completing content.

When target objects are clearly marked by the user, the model naturally removes them from the image and intelligently completes the missing area based on the surrounding environment and context. It generates coherent, realistic, and seamless results, making it suitable for workflows such as photo retouching, product image optimization, and creative compositing.

✨ Key Features

🧹 Precise Object Removal
Removes only the highlighted objects without affecting the main subject or overall composition.

🧠 Smart Contextual Inpainting
Automatically generates realistic fills based on surrounding textures, lighting, and structures to avoid noticeable artifacts.

📷 Photographic Natural Transitions
Ideal for real photography scenes, significantly reducing the artificial "AI-filled" look.

🛠 Complements Background Removal Models
Can be used to remove objects prior to background removal, or integrated as a retouching step in a full workflow.

🧩 How It Works

┌─────────────────────────────────────┐
│                                     │
│   🏠   🌳   [ 🚗 ]   🌳   🏠         │  Highlighted object
│           ↓                         │  gets removed
│   🏠   🌳    ~~~~    🌳   🏠         │  and filled naturally
│                                     │
└─────────────────────────────────────┘

🔑 Trigger Prompt

Remove the highlighted object from the scene

✍️ Highlighting Requirements

  • Must clearly mark / paint over the object to be removed
  • The highlighted area should completely cover the object's boundaries
  • Works best on standalone objects with distinct boundaries

(e.g., passersby, vehicles, clutter, logos, background distractions)

Reposted from: ObjectRemove_Klein_ObjectRemoval

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