Image workflows
Make your first AI image, refine an existing picture, and finish a usable asset.
Start here
Start with a clear output: a portrait, a product photo, or a designed poster. Generate a simple first version, change one decision at a time, and check the details at export size. These guides move from a first image to controlled edits and finished compositions.
- Make your first image
Learn the basic loop from an idea to a result you can inspect.
- Change one thing
Describe a local edit while protecting the rest of your image.
- Build a finished composition
Use layers and constraints to turn a portrait into a poster.
Explore the topic
12 articles
Stop Reshooting Your Listing Photos: Swapping Only the Background in Nano Banana Pro
A marketplace seller with no lights and no backdrop cloth spent 30 minutes and three re-dos on one photo, all because "make the background white" bleeds into the product. Here is the anatomy of that failure and how to instruct an image editor to replace the backdrop while the product stays untouched.
From Phone Snapshot to ID Photo: Spec-First Prompting for Nano Banana Pro
A Japanese writer needed an ID photo the night before a deadline and tried to rescue a casual phone snapshot with Nano Banana Pro. Four failed rewrites and forty lost minutes later, the lesson is clear: give an image editor measurable specs, not genre labels. A practical adaptation, with the boundaries you should not cross.
Transparent PNGs Without the Cutout: How gpt-image-2 Generates Alpha Channels Directly
Native transparent PNG generation in gpt-image-2 changes the oldest chore in image editing: cutting subjects out. This guide covers why generated alpha beats background removal, the prompt pattern that produces clean edges, how to evaluate alpha quality separately from subject quality, and what this does to a compositing workflow.
Targeted AI Image Editing: Fix the Pose, Keep the Style
Regenerating an image to fix one flaw usually destroys the rest of it. A targeted edit keeps the original art and changes only what you point at. Here is a practical editing workflow built from inpainting, natural-language edits, and reference transplants.
The Case for Keeping a Legacy Model: Midjourney as an Ideation Engine
Creators usually ditch an image model once a newer one looks better. A Japanese visual magazine team argues the opposite: keep the old model for the strange, half-broken ideas it produces, then clean them up with a modern editing model.
Conversational Image Editing Is the Next Prompting Interface
Meta's Muse Image points toward a new image workflow where the creator describes intent, marks up the canvas, and lets the model plan the edit before generating pixels.
AI Compositing That Does Not Look Pasted: A Practical Image-Editing Pipeline
A practical workflow for using AI image-editing models, VLM prompt refinement, and reference images to make subject-background composites look physically believable.
AI Poster Collage: A Layer-by-Layer Workflow
Build an AI poster with a clear layer stack, readable composition, and a consistent character. Includes a reusable brief and an illustrated review checklist.
Agent-Controlled AI Image Workflows Are the Next Creative Interface
How agent-driven image tools like Comfy MCP point toward a more practical way to build repeatable creative pipelines without living inside node graphs.
How to Use HiRes Fix for Sharper AI Character Images
A practical guide to using HiRes fix for crisp, detailed character images at high resolution without the blur.
AI Image Generators You Can Try Without the Usual Friction
Tired of AI image generators that make you jump through hoops before you can make anything? Here's what to look for in 2026 — and the tools that get out of your way fastest.
How to Make AI Generated Images — A Complete Beginner's Guide
New to AI image generation? This beginner's guide explains everything you need to know — how it works, how to write good prompts, which tools to use, and how to get consistently great results.