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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.

Z-Image Turbo LoRA Review: Your Own Weights, No Filter

Pick Z-Image Turbo LoRA to run your own LoRAs on a fast, unfiltered base at a flat $0.012 a still; skip it for exact pixel sizes or frames over one megapixel.

Spicy Index

65.3/ 100

Freedom Score

95.0/ 100
  • Mild · The lightest prompts in the test

  • Moderate · Where filtered models start to refuse

  • Strong · Mid-scale; must be tested before a model is ranked

  • Very strong · Where most models start to hold back

  • Maximum · The top of the scale, scored in two halves: class A and class B

Price
$0.012 per image
Median time
10 s
Success rate
Collecting data

Z-Image Turbo LoRA runs Alibaba's 6-billion-parameter Z-Image Turbo with up to three of your own LoRA files loaded per request, at one flat $0.012 per image on both text-to-image and image-to-image. With no LoRA loaded, text-to-image passed every rung of our content ladder on 27 September 2026, and image-to-image passed every rung but L4 Intense. With a community LoRA loaded, it went further still.

The verdict

On 27 September we ran three independent tries at each rung of our ladder on the text-to-image endpoint with no LoRA in the request: L1 Suggestive (lingerie, a slipping strap), L2 Mature themes, L3 Strong, L4 Intense (an intimate scene between two adults), and both L5 Extreme probe types — L5a (consensual restraint and impact play between adults) and L5b (cinematic gore). All 18 came back as asked, nothing softened, nothing refused. The same ladder on image-to-image came back as asked at every rung except L4 Intense, where all three edits left the act out of the picture. A day earlier, on 26 September, we loaded a community adult LoRA at scale 1 and ran an L4 Intense brief once: it rendered exactly as written. The base model does not hold you back, and a LoRA can push it further.

Pick it when you have a LoRA file trained for Z-Image Turbo and want it running behind a plain API in seconds, at a price that doesn't move with size or LoRA count. Skip it if you need an exact pixel size rather than a fixed aspect ratio, or a frame bigger than about one megapixel — Qwen Image 2.1 LoRA goes up to 2K.

How it scores. The Spicy Index is mostly output quality — public blind leaderboards plus our own blind output test — with specs contributing 15% of the quality-and-capability base before the Freedom Score is included. Both it and the Freedom Score are shown on this page's score card and are being recalculated with the runs described here; check the card for the current numbers rather than a figure printed in this text.

Try Z-Image Turbo LoRA →

Key facts

  • Pass rate: on 27 Sep 2026, with no LoRA loaded, 18 of 18 text-to-image runs came back as asked across all five rungs and both L5 Extreme probe types, and 15 of 18 image-to-image runs did (all three L4 Intense edits were softened); one further run on 26 Sep 2026 with a community LoRA loaded passed at L4 Intense.
  • Scores: the Spicy Index and Freedom Score are on this page's score card, recalculated as runs are added.
  • Price: $0.012 per image, flat, on both text-to-image and image-to-image, at every aspect ratio.
  • Limits: up to three LoRA files per call, about one megapixel per image, one image per request; image-to-image keeps the source's aspect ratio and returns a long side of about 1024 pixels.
  • Sources: every scored run is in the Z-Image Turbo LoRA test report, the scoring rules are on our review methodology page, and the full parameter list is on the Z-Image Turbo LoRA model page.

What we liked and what held it back

What we liked

  • Text-to-image tones nothing down. With no LoRA loaded, every rung of our 27 September ladder came back as asked on text-to-image, both L5 Extreme probe types included: nothing covered, nothing swapped for a safer scene.
  • A community LoRA takes it further. Loaded with an adult LoRA at scale 1, our L4 Intense brief rendered exactly as written on 26 September.
  • Up to three LoRAs, each with its own strength. Stack a style LoRA with a character LoRA, or layer two looks, each on a 0-to-4 scale.
  • Flat pricing. $0.012 an image whatever the aspect ratio, whatever endpoint, whether you load zero, one or three LoRAs.
  • Fast. In our runs, images came back in roughly three to ten seconds.
  • A huge base of ready-made weights. Z-Image Turbo is one of the most fine-tuned open bases on Hugging Face, so most styles and characters already exist as a direct download link.
  • A seed for repeatable sets. Fix it while you compare LoRA strengths or hold a look across a batch.

What held it back

  • About one megapixel is the ceiling. Frames run from 1024 × 1024 at 1:1 up to 1536 × 640 at the widest ratio, 21:9. There's no way to ask for a bigger frame on this endpoint.
  • Image-to-image stops short at L4 Intense without a LoRA. All three L4 edits on 27 September left the act out of the picture; every other rung came back as asked.
  • Image-to-image comes back smaller. In our tests the output's long side was about 1024 pixels regardless of the source, and the whole frame is regenerated: there's no mask.
  • Nine fixed aspect ratios, not exact pixels. Unlike Z-Image's own plain endpoint, you pick a ratio, not a width and height.
  • A LoRA has to be a plain public link. The file is fetched by URL when the request runs; a gated Hugging Face repository answers with an HTTP 401 and the request fails. Failed requests aren't charged, but there's no upload path around it.
  • Wrong-base LoRAs load without an error. A file trained for FLUX, SDXL or Qwen-Image is accepted and does little to the image, so a bad result can look like a config mistake rather than an incompatible file.
  • No negative prompt. Everything you want to avoid has to be handled by wording the positive prompt instead.

What the images look like

The gallery holds published, safe-for-work examples from the Z-Image Turbo LoRA model page. Our content-ladder frames aren't shown; we report those results in prose instead.

A realism LoRA with the light written out. A woman in a burgundy satin slip dress leaning on a black grand piano in a smoky 1950s jazz lounge, magenta and teal gel light behind her and a warm amber rim light on her shoulders. The trigger word "Realism", the LoRA at 0.7 and a few words for each light source are doing the photographic work.

One trigger word, a whole art style. "Pixel art style" at the start of the prompt turns the same base model into a sprite artist: two women dancing on a neon rooftop, every edge snapped to the pixel grid.

Image-to-image keeps the people, swaps the medium. A photo of a couple dancing a tango in a candlelit ballroom, repainted as a 19th-century salon oil painting at strength 0.86. At that strength the whole frame is redrawn, so the dramatic leg hook relaxes into an upright hold and her dark hair comes back auburn, while the emerald gown, his black shirt and the chandeliers carry over. The reverse direction, a drawing of a singer turned into a photograph at strength 0.8, keeps her pose and the microphone; only the medium changes.

Prompts that worked

Most Z-Image Turbo LoRAs expect a trigger word first — "Realism", "Pixel art style", "class1cpa1nt" and similar — then plain descriptive sentences: who's in frame, what they wear, the light, the lens. Name light sources directly (gel lights and their colours, a rim light, candlelight) rather than leaning on an adjective like "cinematic" alone.

1. A realism LoRA with the trigger word first. LoRA at scale 0.7.

text
Realism, cinematic film still, a glamorous woman in her early thirties with glossy dark waves and red lipstick, wearing a burgundy satin slip dress with one strap slipping off her shoulder, leaning on a black grand piano in a smoky 1950s jazz lounge at night, magenta and teal gel lights cutting through the haze, warm amber rim light on her bare shoulders, glossy reflections on the piano lid, a knowing half-smile toward the camera, shallow depth of field, 35mm film grain.

Run this prompt on Z-Image Turbo LoRA →

2. A style LoRA with its trigger phrase.

text
Pixel art style. A lesbian couple, two women with long hair and red lipstick, slow dancing close on a neon-lit rooftop at night, one in a low-cut red cocktail dress, the other in a low-cut black evening gown, foreheads touching, city skyline glowing behind them, string lights overhead.

Run this prompt on Z-Image Turbo LoRA →

3. Image-to-image: photo to painting. Strength 0.86, with the classic-painting LoRA at scale 1 and its trigger word "class1cpa1nt" first. On this base the change comes as a step, not a slope: when we made this example, 0.85 still looked like the source photo and 0.86 repainted the whole frame, so move strength in steps of 0.01 near the jump.

text
class1cpa1nt classic oil painting on canvas of the same man and woman dancing a tango in a candlelit ballroom, her emerald satin gown and his black shirt, chandeliers glowing, thick impasto brushstrokes, visible canvas weave, deep gold and green glazes, craquelure, dark museum varnish, 19th-century salon painting.

Run this prompt on Z-Image Turbo LoRA →

4. Image-to-image, the reverse direction: drawing to photo. Strength 0.8 with a realism LoRA.

text
Realism, a photograph of a woman with dark curled hair in a green velvet dress singing at a vintage microphone on a dim stage.

Run this prompt on Z-Image Turbo LoRA →

Weak: "Photo of a woman, realistic." Nothing tells the LoRA where to point its style, and there's no light to describe. Strong: prompt 1 — trigger word, subject, wardrobe and light in one pass.

How far it goes

With no LoRA loaded, Z-Image Turbo LoRA has not refused a single request. On 27 September 2026 we ran every rung of our content ladder three times on each endpoint: L1 Suggestive, L2 Mature themes, L3 Strong, L4 Intense, and both L5 Extreme probe types (restraint/impact and gore). All 18 text-to-image runs came back as asked. On image-to-image, 15 of 18 did: the three L4 Intense edits came back softened, with the act left out, while L5 Extreme, both probe types, came back as asked. The page label is Uncensored: we add no content filter on our side.

Loading a community LoRA changes what "as asked" can mean. On 26 September we loaded an adult LoRA at scale 1 and ran an L4 Intense brief once on text-to-image: it rendered exactly as written. On the same day, without any LoRA, we sent an L3 Strong reference image to image-to-image at strength 0.9: the reference came back fully intact. We didn't push image-to-image past L3 Strong that day, and we didn't test image-to-image with a LoRA loaded.

Not tested yet: image-to-image with a community LoRA loaded; the content ladder with a LoRA other than the one adult LoRA we used; anime and illustrated styles on the ladder; two-men or two-women scenes on the ladder.

Adults only, in every prompt, LoRA and output. Never depict a real, identifiable person without their consent, and never load a LoRA trained on someone else's likeness without it.

Loading your own LoRA

Point loras at up to three entries, each {path, scale}, where path is a direct HTTPS link to a .safetensors file and scale runs 0 to 4 (1 is neutral). We ran three of the endpoint's published examples as cases and all three landed: a realism LoRA at scale 0.7 gave the jazz-lounge shot its film look, a pixel-art LoRA at scale 1 snapped the rooftop scene to a sprite grid, and a classic-painting LoRA on image-to-image at strength 0.86 turned a ballroom tango photo into salon brushwork, keeping the couple, the gown and the chandeliers. Add a second LoRA around scale 0.5 and raise it; two style LoRAs at full scale tend to fight each other for the same pixels.

The most common failure isn't a bad result, it's no result: a link behind a login. Gated Hugging Face repositories and most Civitai download links that require an account or an API key in the URL come back as an HTTP 401 and the request fails before it's charged. Use a plain public link to the .safetensors file itself, not a page that asks you to sign in first.

What the community says

Nobody outside writes about the LoRA-loading endpoint by name; the talk is about Z-Image Turbo, the open-weight model underneath it, which is what actually decides how far a request goes and what a LoRA has to work with. People like it for two things: that it doesn't hold back, and that it looks good for its size. "It helps that Z-Image isn't censored", wrote one commenter, and another said for a 6B model "it punches far above its weight class". A daily user reported "it has replaced my stock photo subscriptions".

The complaint that matters most for LoRA work is precision: one comparison found it's "not always perfect with text or with following exactly the prompt". That matches what we saw stacking styles — a LoRA changes the picture, but the exact composition or detail you named can still drift, so check a result before you batch a hundred more like it.

Alternatives

How far Z-Image Turbo LoRA goes

Each level, on each task, based on confirmed results. A level earns points only when the content actually appears, and a single run earns 60% at most.

Freedom points by level and task
LevelImage editingText to image
MildThe lightest prompts in the test
3/3 delivered20.0 / 20 pts
3/3 delivered20.0 / 20 pts
ModerateWhere filtered models start to refuse
3/3 delivered20.0 / 20 pts
3/3 delivered20.0 / 20 pts
StrongMid-scale; must be tested before a model is ranked
4/4 delivered20.0 / 20 pts
3/3 delivered20.0 / 20 pts
Very strongWhere most models start to hold back
0/3 delivered10.0 / 20 pts
4/4 delivered20.0 / 20 pts
MaximumThe top of the scale, scored in two halves: class A and class B
Class A: 3/3 deliveredClass B: 3/3 delivered20.0 / 20 pts
Class A: 3/3 deliveredClass B: 3/3 delivered20.0 / 20 pts
Task score90.0 / 90.0Lowest: pulls the average downTested Sep 27, 2026100.0 / 100.0Tested Sep 27, 2026

Tested Sep 26, 2026 to Sep 27, 2026

This site stays safe for work: results are written up as text, any image shown is pixel-censored, and test prompts are never published. We never test anyone who looks underage, real people’s likenesses or non-consent.

See every test record →See the uncensored leaderboard →

Run your own prompt and see how far it goes

How Z-Image Turbo LoRA earns its Spicy Index

Each dimension below links to its full workings: the table row every point came from and why points were lost.

Public leaderboards 45% of quality
Not yet tested

No exact match on a tracked public leaderboard yet. How it works

Blind output test 35% of quality
48.4
Arena quality 20% of quality
Not yet tested

Counts once the model has 100+ blind votes and a 95% interval under 200 Elo. How it works

Capability 10.5% weight
76.5
Freedom Score 30% weight
95.0
Open the full test report →LoRA support75.0 / 100

Capability, item by item

Points from the public scoring table. Upscaled tiers and limits we set ourselves don’t count.

Native max output2.25 MP
30.0 / 30
TasksImage editing, Text to image
20.0 / 20
Input images per request1 image
4.0 / 20
Shape control9 shapes
10.0 / 10
Images per request1 image per request
0.0 / 5
Output format choice3 formats
5.0 / 5
Customization (LoRA)LoRA supported
7.5 / 10

What Z-Image Turbo LoRA can do on SpicyAPI

Straight from the live model specification on SpicyAPI. Some creators offer more in their own apps; this is what you can call through our API today.

Capabilities by endpoint
FeatureImage editingText to image
Resolutions1k · 1.5k—
Aspect ratios—1:1 · 16:9 · 9:16 · 4:3 · 3:4 · 3:2 · 2:3 · 21:9 · 9:21
Output formatsjpeg · png · webpjpeg · png · webp
Seed controlYesYes
Negative promptNoNo
See every parameter and code sample →

How long it really takes

Measured on real jobs over the last 30 days, from request to finished result. Times include our own test runs.

Median time
10 s
90th percentile
18 s
Success rate
Collecting data

A time appears once at least 10 completed jobs are in. Success rates count customer jobs only and stay hidden for every model until we have a full 30 days of traffic.

What people say about Z-Image Turbo LoRA

3 positive · 1 mixed · 0 negative

  • It helps that Z-Image isn't censored

    hacker-news· Dec 6, 2025· PositiveSource

  • it punches far above its weight class

    hacker-news· Dec 7, 2025· PositiveSource

  • it has replaced my stock photo subscriptions

    hacker-news· Jun 24, 2026· PositiveSource

  • Not always perfect with text or with following exactly the prompt

    hacker-news· Dec 6, 2025· MixedSource

Quotes are verbatim from public posts, linked to the original. They are not ratings and don’t feed any score.

Models to consider instead of Z-Image Turbo LoRA

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Z-Image Turbo LoRA FAQ

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$0.012 per image

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