dalle skill

Overview

This skill provides practical, end-to-end guidance for using DALL·E to generate, vary, and edit images. It helps craft high-quality prompts, choose generation settings, create variations, and integrate with the DALL·E API. The guidance focuses on producing consistent, usable visual assets quickly and reliably.

How this skill works

The skill inspects the user's creative goal, desired style, and technical constraints, then recommends precise prompt phrasing and parameter settings. It outlines step-by-step actions for generating images, producing variations, performing inpainting/edits, and calling the DALL·E API from Python. It also highlights common pitfalls and suggests fixes for inconsistent or low-quality outputs.

When to use it

• You need to fabricate original images for marketing, UI mockups, or concept art.
• You want to iterate on a generated image and create consistent variations.
• You need guidance on editing or inpainting existing images with DALL·E.
• You want clear, copy-ready prompts for a specific visual style or composition.
• You plan to integrate DALL·E into a Python app or automation pipeline.

Best practices

• Start prompts with the subject, then add modifiers for style, lighting, mood, and camera attributes (e.g., “cinematic, soft lighting, 35mm”).
• Be specific about composition and negative constraints (what to avoid) to reduce unwanted artifacts.
• Use concise, incremental prompt edits and seed/temperature controls to iterate instead of big rewrites.
• For consistent series, lock style keywords and adjust only composition or color descriptors.
• When editing, provide a clear mask and a short, focused edit prompt to avoid altering unrelated regions.
• Respect copyright and likeness rules; avoid generating or publishing protected or private content without consent.

Example use cases

• Create a series of product hero images in a consistent photographic style for an ecommerce catalog.
• Generate concept art variations for a game character and iterate on costume details.
• Perform targeted edits to remove or replace background elements in a marketing image using inpainting.
• Integrate DALL·E into a Python workflow to auto-generate social media visuals from text inputs.
• Produce stylized illustrations for articles with explicit composition and color constraints.

FAQ