AI tool comparison
Kling vs Midjourney Web Editor Inpainting & Reference Layers
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
Design & Creative
Kling
AI video generation from Kuaishou — high-quality motion
67%
Panel ship
—
Community
Free
Entry
Kling by Kuaishou generates high-quality videos from text and images with impressive motion consistency and physics understanding. Features include lip sync, motion brush, and video extension.
Design & Creative
Midjourney Web Editor Inpainting & Reference Layers
Precise region editing and multi-layer references, right in your browser
100%
Panel ship
—
Community
Paid
Entry
Midjourney's browser-based editor now supports inpainting, allowing users to selectively edit specific regions of generated images without external tools. The update also introduces multi-layer reference images, enabling users to blend style, composition, and character references simultaneously. Both features are integrated directly into the web app, removing the previous dependency on Discord for the core editing workflow.
Reviewer scorecard
“The motion quality rivals Runway at a fraction of the price. Lip sync feature is great for creating talking head content. Best value in AI video right now.”
“The inpainting actually produces coherent output — fix a hand, swap a background element, adjust a face without nuking the rest of the composition. That's the hard problem other inpainters fumble. The reference layer system is the real unlock: stack a character ref on top of a style ref and the model holds both with real fidelity, not a mushy average. The editing surface is brush-based with adjustable hardness, which is the right call — it matches how illustrators already think about masking. The one failure is the layer stack has no blend mode controls, so if your references fight each other, you can't arbitrate who wins.”
“Surprisingly good for the price point. The free tier is generous enough to actually evaluate. Some generation artifacts but improving rapidly.”
“This is genuinely Midjourney catching up to Stable Diffusion workflows that have existed in ComfyUI and Automatic1111 for two years — credit where it's due for packaging it without requiring a local GPU and a PhD in node graphs. The specific scenario where this breaks is complex product photography: multi-layer references with fine texture like fabric or intricate logos still drift noticeably after inpaint cycles, which means professional retouching workflows aren't fully replaced yet. What kills this tool in 12 months isn't a competitor — it's Adobe Firefly and the Photoshop generative fill team, who now have a direct target to match feature-for-feature. Midjourney wins if their model quality gap holds; right now it does.”
“The API is limited and the platform is primarily Chinese-language focused. For production integration, Runway's API is more mature and developer-friendly.”
“The inpainting brush tool is actually designed — there's a clear mask preview in a distinct overlay color, an undo stack that doesn't blow away your full session, and the strength slider gives you real feedback as you drag, not just after you regenerate. What's missing is any visual hierarchy between the reference layer panel and the generation controls; they sit at the same visual weight and the eye has nowhere to land when you're deciding what to adjust next. The empty-state handling is also lazy — drop into a blank editor with no image loaded and you get a generic placeholder instead of a guided first action. Strong fundamentals, unfinished information architecture.”
“The thesis here is that non-destructive, multi-reference generative editing becomes a standard primitive in all creative software — not a specialty feature but a baseline expectation, the way layers were after Photoshop 3.0. Midjourney stacking inpainting and reference layers in the same session is a bet that the editing and generation workflows converge into a single surface, eliminating the round-trip between generator and editor that currently fragments creative pipelines. The second-order effect that matters: if this works at quality, it transfers creative leverage from production designers who own the toolchain to art directors and clients who only own taste — and that's a real power shift in agency workflows. The dependency that has to hold is Midjourney's model quality advantage over commodity diffusion endpoints; the moment that gap closes, the web editor is just a UI wrapper.”
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