Advanced Image Workflows
Editing, inpainting, reference images, upscaling, and producing brand-consistent assets at scale
Beyond Generation: Editing What Exists
Generating a fresh image is the easy 20%. The professional 80% is editing: fixing the one wrong hand, swapping a background, keeping a character consistent across twelve images, and matching a brand. This lesson is the toolkit for that work.
Inpainting & Outpainting
Inpainting regenerates a masked region while leaving the rest untouched - the surgical tool of image editing. Outpainting extends the canvas beyond its original borders, inventing what lies outside the frame.
INPAINTING - fix or change part of an image 1. Mask the region (the awkward hand, the logo, the sky) 2. Prompt ONLY for that region: "a clean blue sky" 3. Generate โ only the masked area changes OUTPAINTING - expand the frame Original is 1:1 โ extend left/right to make it 16:9 The model invents plausible surroundings Great for reformatting one asset to many aspect ratios
Reference Images: Steering With Pictures, Not Words
Words have limits. Reference images let you transfer a style, a composition, or a character's face directly. This is how you get consistency that prompting alone can't deliver.
Style reference โ "make new images that LOOK like this one"
(Midjourney --sref, Firefly style ref)
Character/face โ keep the same person across many images
(character reference / "consistent character")
Structure/pose โ match the composition or pose of a reference
(ControlNet edges/pose in local tools)
Composition โ use a rough sketch as the layout skeletonUpscaling & Cleanup
Generated images are often 1024px - fine for web, too small for print or large displays. Upscalers increase resolution while adding plausible detail (not just stretching pixels).
Take 1k โ 4k for print, banners, or zoomed detail. Built into most tools; dedicated upscalers (Topaz, Magnific-style) go further.
One-click cutouts for product shots, logos, and compositing onto new backgrounds.
Use face-restore / inpaint passes on the classic diffusion failure points before you ship.
Brand-Consistent Assets at Scale
The real business value is producing many on-brand assets, not one pretty picture. Consistency comes from constraints you reuse every time.
A repeatable brand recipe:
1. Lock a STYLE reference image (your brand's look)
2. Keep a fixed palette + descriptor block:
"flat illustration, [#hex] and [#hex] palette,
rounded shapes, soft shadows, friendly"
3. Reuse the same seed family for visual cohesion
4. Generate each asset, then inpaint to fix details
5. Run the same upscale + crop preset on all outputs
โ 30 social tiles that clearly belong togetherHands-On: Rescue and Reformat One Image
Mask a region and regenerate only that part - the surgical fix for almost-perfect images
Extend the canvas beyond its borders; reformat 1:1 โ 16:9 or 9:16
Feed an image so new outputs match its look - consistency words can't achieve
Keep the same face/character across many images
Increase resolution while adding detail; needed for print and large displays
One-click cutout for product shots, logos, and compositing
Locked style ref + fixed palette/descriptors + seed family + consistent post-processing