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Model comparisons

FLUX.1 Dev LoRA vs Krea 2 Medium Turbo

FLUX.1 Dev LoRA: Uncensored. Krea 2 Medium Turbo: Filtered. Krea 2 Medium Turbo lists a 16% lower unit price than FLUX.1 Dev LoRA.

FLUX.1 Dev LoRA

FLUX.1 Dev LoRA text-to-image from Black Forest Labs' FLUX.1 [dev], loading up to three of your own LoRA files per request. Output is about one megapixel in nine aspect ratios as JPEG, PNG or WebP, with a guidance control from 0 to 20.

View model details →View sample outputs →

Krea 2 Medium Turbo

Krea 2 Medium Turbo is the quick tier of Krea's text-to-image line, made for volume and turnaround. It takes a prompt of up to 5,000 characters in eight aspect ratios including 2.35:1, plus up to ten style reference images.

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.

  • FLUX.1 Dev LoRA is listed as Uncensored; Krea 2 Medium Turbo as Filtered. Compare the examples and content-test details on each model page for the scenes you want to create.
  • Krea 2 Medium Turbo has the lower listed unit price by 16%.

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
MeasureFLUX.1 Dev LoRAKrea 2 Medium Turbo
Spicy Index53.443.5
Freedom Score43.510.0
EvidenceTested 6 of 6 probe types · 22 runsTested 6 of 6 probe types · 18 runs
Range if the rest pass43.5–87.510.0–10.0
Price$0.018 per image$0.015 per image
ReviewsRead the FLUX.1 Dev LoRA reviewRead the Krea 2 Medium Turbo 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.

Swipe horizontally to compare all fields.

Price at the same setting
TierFLUX.1 Dev LoRAKrea 2 Medium TurboDifference
Current price$0.018 / output images$0.015 / output imagesKrea 2 Medium Turbo −16%

What one ordinary job costs

  • FLUX.1 Dev LoRA: $1.8 for one hundred images.
  • Krea 2 Medium Turbo: $1.5 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.

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FLUX.1 Dev LoRA vs Krea 2 Medium Turbo
Controls and limitsFLUX.1 Dev LoRAKrea 2 Medium Turbo
Supported taskstext-to-imagetext-to-image
Aspect ratios1:1 · 16:9 · 9:16 · 4:3 · 3:4 · 3:2 · 2:3 · 21:9 · 9:211:1 · 4:3 · 3:2 · 16:9 · 2.35:1 · 4:5 · 2:3 · 9:16
Reference materialNot offeredUp to 10 files
SeedYesNo
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.

FLUX.1 Dev 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.

Krea 2 Medium Turbo

Filtered

This model refuses requests beyond its own limits outright. Measured, not assumed — models we have not measured carry no label at all.

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.

  • 2 fields appear in both request bodies under the same names. aspect_ratio, prompt
  • Only FLUX.1 Dev LoRA accepts: guidance_scale, loras, output_format, seed, steps.
  • Only Krea 2 Medium Turbo accepts: reference_image_urls, reference_strength.
  • FLUX.1 Dev LoRA requires prompt.
  • Krea 2 Medium Turbo 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.

How to choose

How to choose

Reference-driven workflow

Only Krea 2 Medium Turbo takes reference material, up to 10 files in one request, which is what keeps a fixed cast or product recognisable across shots.

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Moving from one to the other

The model identifiers are black-forest-labs/flux-1-dev-lora/text-to-image and krea/2-medium-turbo/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, FLUX.1 Dev LoRA or Krea 2 Medium Turbo?

Which is cheaper, FLUX.1 Dev LoRA or Krea 2 Medium Turbo?

Krea 2 Medium Turbo has the lower listed unit price by 16%. Prices may change; check the estimate shown for your actual settings before submitting.

How long can a single request run?

FLUX.1 Dev LoRA allows 30 minutes per task and Krea 2 Medium Turbo 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.

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