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PixAI vs Tensor.Art

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Cheaper paid plan
Tensor.Art — $9.90/mo vs $9.99/mo for PixAI
Free plan
Both have one
Public API
Tensor.Art has one; not confirmed by us for PixAI
Higher Trust score
Tensor.Art — 88 vs 82 for PixAI
Best fit
PixAI: Anime and manga artists who want a huge pool of community styles · Tensor.Art: People who want to run a specific community LoRA without setting up a local Stable Diffusion install

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

PixAIAnime-focused image generator with a community library of over a million models and LoRAs, plus daily free credits.Tensor.ArtRuns Stable Diffusion, FLUX and community LoRAs in the browser on a shared model library

Side by side

FactPixAITensor.Art
CategoryAnime & Manga GeneratorsText-to-Image Generators
Pricing modelFreemiumFreemium
Starts at$9.99/mo$9.90/mo
Public APINot confirmedYes
Trust score82 / 10088 / 100
PlatformsWeb, iOS, AndroidWeb, API
CompanyMewtant Inc.TENSOR ART HK LIMITED
Last verifiedOct 2, 2026Sep 6, 2026

What our research says

PixAI

PixAI is the practical pick for anime and illustration work where the community model library matters more than photorealism. The daily free credits make it easy to try, and paid tiers mostly buy more credits, private model uploads and video. It is the wrong tool for photographic output or for anyone who wants a locked-down, work-safe-only environment.

Pros

  • Very large library of community models and LoRAs that can be reused in one click
  • Daily free credits and rollover of unused credits on paid plans
  • Built-in LoRA training, image editing, upscaling and a character maker
  • Native iOS and Android apps sharing one account with the web

Cons

  • Credit-based billing makes monthly cost hard to predict
  • No public API listed on the site
  • Output is concentrated on anime styles, and the model catalogue is community-moderated

Tensor.Art

The draw is the library, not the generator: hundreds of thousands of community checkpoints and LoRAs you can run without a GPU, plus a node editor for people who outgrow the prompt box. Credits are the real currency and they expire, so heavy users end up buying packs on top of the subscription.

Pros

  • Very large public library of checkpoints and LoRAs runnable in the browser
  • ComfyFlow node editor for multi-step pipelines, not just single prompts
  • Free tier resets a daily credit allowance rather than expiring after a trial
  • API keys issue instantly and bill from the same credit balance

Cons

  • Credits do not roll over, so an idle month is money lost
  • Cloudflare blocks automated access, which also complicates any scripted use of the site itself
  • Model licensing is the uploader's business, which pushes the rights question onto you

Which one fits

Choose PixAI if you need

  • Anime and manga artists who want a huge pool of community styles
  • Hobbyists making original characters and VTuber-style avatars
  • People who want to train a small custom LoRA without local hardware

Choose Tensor.Art if you need

  • People who want to run a specific community LoRA without setting up a local Stable Diffusion install
  • Model authors looking for somewhere to publish and get their checkpoints used
  • Developers who need hosted open-weight image models behind a REST call

PixAI vs Tensor.Art: the questions people ask

Is PixAI cheaper than Tensor.Art?

On published entry prices, Tensor.Art starts lower — $9.90/mo against $9.99/mo for PixAI. Entry price is the lowest paid plan as we last verified it; what each plan includes differs.

Does PixAI or Tensor.Art have a free tier?

Both: PixAI has a free tier, and Tensor.Art has a free tier.

Which has a public API, PixAI or Tensor.Art?

Tensor.Art ships a public API, as of our last verification. A public API for PixAI is not confirmed by us — check its developer docs before you plan an integration.

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