4.1 KiB
4.1 KiB
Step-by-Step Document: Achieving Seamless Textbox Movement with Inpainted Background
Overview
This guide details the five essential steps for replicating Prodifi-style smooth textbox movement—where textboxes or shape overlays can be freely moved, and the underlying image always appears natural, even if the original was flattened. Each step is modular and can be developed and tested independently.
Step 1: Detect and Extract Overlay Objects
- Goal: Identify all textboxes, balloon shapes, and overlay elements in the input image.
- Actions:
- Use OCR (EasyOCR, PyTesseract) to detect text regions and their bounding boxes.
- Use shape detection (e.g., via OpenCV) to localize speech balloons or decorative overlays.
- Save metadata (position, size, text content, shape type) for each detected overlay.
- Result: A list of overlay objects (textboxes, shapes), each with precise position and attributes.
Step 2: Generate a Clean Background Image
- Goal: Remove all detected overlays from the original image to produce a natural-looking, text-free background.
- Actions:
- Create a composite mask covering all overlay object regions.
- Apply an AI inpainting model (e.g., Stable Diffusion Inpainting, LaMa) using this mask on the original image.
- Fine-tune mask boundaries for best inpainting results.
- Result: A "clean" background image, as if the textboxes/shapes never existed.
Step 3: Manage Overlays as Independent Objects
- Goal: Store all extracted overlays as standalone interactive objects.
- Actions:
- For each overlay, maintain data: position, size, text, font/style, visibility, z-order, etc.
- Ensure overlays are rendered above the clean background.
- Allow overlays to be moved, resized, modified in memory or via a GUI.
- Result: True multi-layer editing; overlays behave like stickers or Photoshop layers.
Step 4: Real-Time Interactive Editing
- Goal: Provide a user interface for moving, resizing, and editing overlays smoothly.
- Actions:
- Use a GUI toolkit (DearPyGui, PyQt, Streamlit, Gradio, etc.) to display image and overlay objects.
- Allow users to drag, resize, and edit overlays in real time.
- Moving an overlay simply updates its properties; the clean background naturally appears beneath it.
- No AI inpainting is required during live interactions.
- Result: Fast, intuitive, and non-destructive user experience where any area revealed after moving overlays is always natural.
Step 5: Commit Changes as Needed
- Goal: Permanently merge or remove overlays from the project when required.
- Actions:
- On user command (e.g., delete/flatten overlay), generate a precise mask for the affected region.
- Apply AI inpainting to fill the area on the clean background image if needed.
- Update the background only for committed destructives changes; retain reversibility for overlays.
- Result: Background remains artifact-free after overlay deletions or merges, project state is consistent and professional.
Summary Table
| Step | Purpose | Core Tools/Actions | Outcome |
|---|---|---|---|
| 1 | Detect overlays | OCR, shape detection | Overlay object list w/ metadata |
| 2 | Clean background image | AI inpainting, mask creation | Text- and shape-free background image |
| 3 | Manage overlay objects | Data structure for overlays | Interactive, independent overlay layers |
| 4 | Real-time editing | GUI toolkit, canvas | Live, smooth movement and modification of overlays |
| 5 | Commit destructive changes | Mask, AI inpainting (if needed) | Background updates only on command/merge/delete |