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Model comparisons

Anima Turbo LoRA vs Neta Lumina

Anima Turbo LoRA or Neta Lumina, tier by tier: matched prices, request fields, limits and the content policy measured on each.

Anima Turbo LoRA

Anime and illustration art on Anima Turbo with up to three of your own style or character LoRAs per request, each with its own scale. Tags or sentences, fifteen aspect ratios, 1k or native 1.5k, and no filter on prompts, weights or results.

View model details →View sample outputs →

Neta Lumina

Neta Lumina text-to-image draws one anime illustration from Danbooru-style tags, plain sentences or both, on Neta.art Lab's fine-tune of Lumina-Image-2.0. Nine aspect ratios at about one megapixel, JPEG, PNG or WebP output, and no content filter.

View model details →View sample outputs →

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The short answer

Start with the input you have, the result you want and your budget. These are the differences that affect that choice.

  • The two bill on different tiers, so there is no like-for-like row: Anima Turbo LoRA starts at $0.018 / output images and Neta Lumina at $0.012 / output images.
  • Both are listed as Uncensored. Compare the examples and content-test details on each model page for the scenes you want to create.

Compare the published examples, then try the same input on both models with matching settings.

Test scores side by side

The Spicy Index and Freedom Score for both models, from the same daily calculation as the leaderboards.

Test scores side by side
MeasureAnima Turbo LoRANeta Lumina
Spicy Index64.660.5
Freedom Score97.5100.0
EvidenceTested 6 of 6 probe types · 44 runsTested 6 of 6 probe types · 24 runs
Range if the rest pass97.5–97.5100.0–100.0
Price$0.018 per image$0.012 per image
ReviewsRead the Anima Turbo LoRA reviewRead the Neta Lumina review
See both on the leaderboard →

Current price

Price at the same setting

A start price answers a different question than the one you have. These are the tiers both models publish, matched setting for setting, in US dollars per billed unit with no conversion step in between.

These two bill on different tiers, so there is no row to line up. Each one's own published tiers are listed here instead.

Anima Turbo LoRA: 1K $0.018 / output images · 1.5k $0.036 / output images

Neta Lumina: $0.012 / output images

What one ordinary job costs

  • Anima Turbo LoRA: $1.8 for one hundred images at 1K.
  • Neta Lumina: $1.2 for one hundred images.

Arithmetic on the published rates at each model's own default setting, not a quote. The console prices your actual settings before a request is accepted.

About this comparison

Controls and limits

Every row here is read from the JSON Schema the endpoint validates against, so it matches what the API will really accept rather than a feature list written by hand.

Swipe horizontally to compare all fields.

Anima Turbo LoRA vs Neta Lumina
Controls and limitsAnima Turbo LoRANeta Lumina
Supported taskstext-to-imagetext-to-image
Resolution tiers1K · 1.5kNot offered
Aspect ratios1:1 · 16:9 · 9:16 · 4:3 · 3:4 · 3:2 · 2:3 · 21:9 · 9:21 · 2:1 · 1:2 · 3:1 · 1:3 · 5:4 · 4:51:1 · 16:9 · 9:16 · 4:3 · 3:4 · 3:2 · 2:3 · 21:9 · 9:21
SeedYesYes
ExecutionSubmit, then poll or take the callbackSubmit, then poll or take the callback
Request timeout30 minutes30 minutes
AvailabilityLiveLive

Do low-filter models allow every request?

Content policy, side by side

Two separate facts sit behind these labels. The first is what we do, which is nothing: no platform content filter, and no maturity flag to set on a request. The second is what each model does on its own, and that is the only part that varies between these two.

Anima Turbo LoRA

Uncensored

This model declares no content filter. SpicyAPI forwards the request without adding a platform content scan; legal and consent duties remain with the customer.

Neta Lumina

Uncensored

This model declares no content filter. SpicyAPI forwards the request without adding a platform content scan; legal and consent duties remain with the customer.

Use these content labels to shortlist models, then open each model page for available examples and content-test details.

The label never changes your obligations. Age, consent, real-person likeness and the law where you operate stay with you, and SpicyAPI does not inspect each request.

Can I swap the model ID without changing the request body?

Request body, field by field

The task lifecycle is shared; the body is not. Each endpoint publishes its own JSON Schema and the API validates against that, so this is the list to reconcile before a switch.

  • 3 fields appear in both request bodies under the same names. aspect_ratio, prompt, seed
  • Only Anima Turbo LoRA accepts: loras, resolution.
  • Only Neta Lumina accepts: output_format.
  • Anima Turbo LoRA requires prompt.
  • Neta Lumina requires prompt.
  • Both reject unknown fields outright, so a parameter left over from the other model comes back as a validation error instead of being quietly ignored.

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Moving from one to the other

The model identifiers are circlestone-labs/anima-turbo-lora/text-to-image and neta-art/neta-lumina/text-to-image, and both go in the same field of the same request.

Both run the same way: submit the task, then poll it or take the callback. Queueing and retry logic carry over unchanged.

Both use the same submit-and-track flow, but their required inputs may differ. Check each model page before switching.

One key, one balance, one set of spend caps. Both bill to the same account in US dollars, and the per-key daily, monthly and lifetime limits apply to whichever one you call.

Questions developers ask

Which is cheaper, Anima Turbo LoRA or Neta Lumina?

Which is cheaper, Anima Turbo LoRA or Neta Lumina?

The two bill on different tiers, so there is no like-for-like row: Anima Turbo LoRA starts at $0.018 / output images and Neta Lumina at $0.012 / output images. Prices may change; check the estimate shown for your actual settings before submitting.

How long can a single request run?

Anima Turbo LoRA allows 30 minutes per task and Neta Lumina allows 30. Those are ceilings rather than typical times — most requests finish far sooner — but they are what your own client timeout has to survive.

Prices and capabilities shown here come from the current public model catalogue. Check each model page for its latest inputs and examples.