DALL-E Editor: Friendly Introduction for Developers
version 2024-04-16
My DALL-E Editor—a practical, feature-rich application built in Python 3.11+, designed specifically to streamline interactions with OpenAI’s DALL-E 2 and DALL-E 3 APIs. This user-friendly GUI application leverages Python’s Tkinter library to simplify image generation, editing, and masking workflows, allowing quick experimentation with AI-generated visuals directly from your desktop.
The main focus is the edits endpoint for redraw and infill, at $0.02 per image, thus, this has a 1024x1024 image only at this point in development
Key Features and Capabilities:
1. Image Generation from Text Prompts
- Instantly generate high-quality images (1024×1024 pixels) using your descriptive text prompts.
- Choose between DALL-E 2 and DALL-E 3 models effortlessly.
- Easily toggle HD mode specifically for DALL-E 3.
- An AI placeholder - develop your own AI calls for prompt improvement, or even prompt library dialog or style (or character) selector.
2. Intuitive Mask Drawing Interface
- Draw precise masks directly on images for targeted editing or inpainting.
- Selectable brush sizes (Small, Medium, Large) to customize mask precision.
- Visual feedback through a semi-transparent red overlay, clearly showing masked regions.
3. Dynamic Image Loading and Scaling
- Load images directly from your file system.
- Interactive slider for dynamically scaling images—choose between cropping to fit or filling (outfill) with optional shrinking allowed, and dragging around.
- Preview adjustments in real-time, allowing precise control of how images fit the target resolution.
- Image transparency is preserved and used for mask also (observe the blue actual size)
4. Integrated Editing Workflow
- Send masked images along with editing prompts to DALL-E’s editing API endpoints seamlessly.
- Smart default prompts when performing outfill operations, simplifying repetitive editing tasks - or what you type
5. Robust Error Handling
- Automatically manages API errors gracefully, ensuring your workflow remains uninterrupted and clear error dialogs inform you promptly.
6. Convenient File Operations
- Easily save your generated and edited images to disk as standard PNG files.
Requirements:
- Python 3.11+
- Pillow: pip install pillow
- OpenAI Python SDK: pip install openai
- Funding your OpenAI account with credits to burn
- Set the environment variable OPENAI_API_KEY with your API key.
The code
70000 characters is a bit too much to post here now… You just get a docstring…
"""
dalle_editor_j.py
A developer-oriented, single-file Tkinter GUI application leveraging OpenAI's DALL·E
API endpoints to create, edit, and refine images via generative AI techniques, including
inpainting, outpainting, and generative fills. It supports generating 1024×1024 images
from textual prompts (images.generate), interactive mask drawing for precise editing,
and robust image editing capabilities (images.edit). Outputs can be seamlessly saved
to disk for integration into external workflows.
------------------------------------------------------------------------------
CURRENT FEATURES & USAGE PATTERNS
------------------------------------------------------------------------------
• **Image Generation**:
- Supports OpenAI’s DALL·E 2, DALL·E 3, (GPT-4o?), and future image generation models.
- Dynamically manages advanced parameters (e.g., "HD," "Natural") for DALL·E 3.
- Provides real-time character counters and silent prompt truncation to adhere to
model-specific prompt length constraints.
• **Mask Drawing & Editing**:
- Interactive brush tool enables intuitive mask painting directly onto images, stored
as metadata in a Pillow "L" mode image. A semi-transparent red overlay provides
immediate visual feedback.
- Utilizes OpenAI's images.edit endpoint for precise inpainting and outpainting tasks,
with robust error handling to revert to the last stable image state upon failures.
• **Image Import & Export**:
- Flexible image loading from disk with dynamic resizing options ("Allow shrink,"
"Allow zoom") to adapt external images into the standardized 1024×1024 workspace.
- Persistent saving of edited images directly to disk for easy workflow integration.
• **User Interface Enhancements**:
- Custom brush cursor visually indicates brush size and mode (draw/erase).
- Contextual right-click menus in text fields offer standard editing operations
(cut, copy, paste, select all) and placeholders for future AI-powered text rewriting.
- Integrated visual progress indicators clearly communicate ongoing API interactions.
• **Model Flexibility & Future-Proofing**:
- Direct integration with OpenAI's image generation and editing endpoints, assuming
full functionality without fallback checks.
- Modular code structure logically partitioned into minimally interdependent sections,
facilitating straightforward future modularization and expansion.
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MODULAR CODE STRUCTURE & PLANNED IMPROVEMENTS
------------------------------------------------------------------------------
• **Modular Style**:
- Although presented as a single file for clarity, the application is logically
partitioned into distinct sections (API wrapper, dialogs, main editor), each with
minimal global dependencies, enabling easy future modularization.
- `DalleAPI`: Asynchronous API client for OpenAI's images endpoints.
- `ImageLoadDialog`: Manages image importing and resizing, returning processed images
and masks.
- `DalleEditorApp`: Main GUI class orchestrating UI elements, event handling, and data
flow, supplemented by external utility functions.
• **Scalable Virtual Canvas**:
- Possible future support for a scalable "virtual canvas" beyond the current
1024×1024 constraint, enabling expansive visual compositions.
• **Future Growth**:
- Easily extendable with advanced features (e.g., layering, viewport panning, adjustable
generation sizes) without requiring extensive refactoring.
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DEVELOPER REQUIREMENTS & NOTES
------------------------------------------------------------------------------
• **Python 3.11+** required.
• **Install dependencies**:
- Pillow: `pip install pillow`
- OpenAI: `pip install openai`
• **OPENAI_API_KEY** environment variable must be set; otherwise, the application will
prompt for an API key at startup.
• OpenAI's images.generate and images.edit methods are assumed fully functional; no
fallback or additional validation is required. The code remains prepared to integrate
newly introduced endpoints directly.
• Robust error handling and asynchronous requests (with a 40-second timeout) are implemented.
------------------------------------------------------------------------------
FUTURE DEV REFERENCE
------------------------------------------------------------------------------
One section particularly ripe for future growth is:
def ai_rewrite_text(self):
'''a placeholder for an extensive AI-powered function'''
Significant complexity and advanced AI integration are anticipated here in subsequent
expansions.
"""
Download ZIP, link at upper right:
md5sum dalle_editor_j.zip
6164ecceb72f0a4f2d66e75513ec8804 *dalle_editor_j.zip
Explore, integrate, and extend freely—DALL-E Editor is designed for developers to adapt, improve, and seamlessly integrate advanced image-generation capabilities directly into their Python applications. If I get around to it - the features of OpenAI’s labs - adding multiple images to a virtual canvas…