Pixal3d.ai vs TAT.ink

Pixal3d.ai and TAT.ink are both design tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Pixal3d.ai

The tool accepts a single image and returns a GLB file — no multi-view capture, no turntable shoot. It runs two parallel generation lanes: the Pixal3D back-projection path and a Trellis 2 alternative, so you can compare both outputs before committing cleanup time to either. Quality presets control texture resolution (up to 2048) and vertex budget (up to 200,000 targets), which means the output ceiling is high enough for final review, not just shape prototyping. Every generation consumes credits; there is no free tier visible in the interface — you authenticate, spend credits, and download. The research weights are available on GitHub under TencentARC, so teams with the infrastructure to run inference locally are not locked to the hosted service.

TAT.ink

The platform generates tattoo designs from text prompts across more than 20 style categories — realism, dotwork, trash polka, watercolor, and others — and lets you overlay the result on a body photo to check scale and placement before committing. The font generator handles name and quote tattoos across 20+ lettering styles with curve-and-placement simulation, which saves a round-trip conversation with your artist on typography alone. The idea explorer surfaces trending concepts by theme, mood, and placement, useful when a client knows they want something but cannot articulate what. The wall appears when you need fine-grained revision: prompt tweaking gets you variation, not surgical control, so complex multi-element compositions require repeated generation cycles with no guarantee of convergence.

Attribute	Pixal3d.ai	TAT.ink
Pricing	Paid	Paid
Free trial	No	No
Open source	No	No
Has API	No	No
Self-hosted option	Yes	No
Platforms	Web (browser)	Web (browser-based)
Released	2026-05	—
Pros	Pixel-aligned back-projection keeps surface detail tied to the actual source image pixels, so texture markings and material boundaries land where you drew them rather than where a diffusion prior guessed they should be — which means less manual UV correction after export. Dual-lane comparison between the Pixal3D path and Trellis 2 runs before you commit cleanup time, so you pick the better mesh before spending hours in your DCC tool. Three quality presets with explicit vertex and texture targets — up to 200,000 vertices and 2048 textures on the Detail setting — so you can run a cheap shape check first and reserve credit spend for final-review passes. TencentARC research weights and inference code are available on GitHub, so studios with GPU infrastructure can bypass the hosted credit model entirely and run generation inside their own pipeline. Hunyuan Motion integration generates FBX character animation from text in the same interface, so character teams avoid context-switching between services when they need a posed or animated reference alongside the static mesh.	Text-to-design generation across 20+ style categories, so a client can produce a concrete visual reference before the consultation rather than describing a concept from memory. Unlimited redraws with prompt tweaking, which means style exploration costs time but not additional budget — useful when a client is still deciding between tribal and blackwork. AR try-on overlay with scale, rotate, and opacity controls, so placement decisions get made on an actual body photo instead of being deferred to the appointment itself. Dedicated font generator with 20+ lettering styles and curve simulation, so name and quote tattoos skip the back-and-forth typography conversation with the artist entirely. Freemium access with daily limits, so occasional or first-time users can test the full generation and try-on workflow without a paid commitment before they know if the tool fits their process.
Cons	The input checklist is strict — full subject in frame, clear silhouette, low occlusion, simple background, high resolution, neutral lighting. Any photograph that violates more than one of these conditions produces degraded geometry, which means product shots with props, styled lighting, or partial occlusion go through the same manual rebuild the tool was supposed to shortcut. Every generation consumes credits with no visible free tier; teams running iterative prompt-and-inspect workflows across dozens of assets accumulate costs that make per-asset pricing competitive only when generation quality is high enough to reduce cleanup time — at scale, teams with consistent high-volume needs switch to self-hosted inference or a batch-capable competitor with flat-rate pricing. No API is exposed on the hosted service, so any attempt to wire generation into a build pipeline, content management system, or automated asset processor requires setting up the GitHub inference stack and maintaining GPU infrastructure — at which point the hosted service adds no value and teams are running TencentARC's weights directly.	Prompt iteration is the only revision mechanism — there are no layer controls, element-selection tools, or surgical edit modes. When a design is 80% right but one element is wrong, you redraw the whole image. Teams with clients who have precise compositional requirements abandon this workflow and move to a human illustrator or a generative tool with inpainting support. The try-on engine works on uploaded photos but the vendor page describes no body-mesh detection or automatic skin-tone matching, meaning realistic integration depends on photo quality and manual opacity adjustment. For darker skin tones or low-contrast photos, the overlay preview degrades — artists report needing to describe the discrepancy to clients rather than relying on the preview as a decision tool. There is no API and no self-hosted option, so tattoo studios that want to embed design generation inside their own booking or client portal cannot do so without building a separate screen-scraping layer — at which point the integration maintenance cost makes a custom model deployment more defensible.

Bottom line

Pixal3d.ai and TAT.ink are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.