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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.

FLUX.1 Dev LoRA Review: Uncensored, Any Community LoRA

Pick FLUX.1 Dev LoRA to run any FLUX community LoRA at $0.018 per image; an adult LoRA clears strong scenes, but intimate scenes stay implied.

Spicy Index

53.4/ 100

Freedom Score

43.5/ 100

Range if the rest pass: 43.5–87.5

  • 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
$0.018 per image
Median time
21 s
Success rate
Collecting data

FLUX.1 Dev LoRA runs Black Forest Labs' FLUX.1 [dev] with up to three of your own LoRA files per request, for a flat $0.018 per image whatever aspect ratio you pick. On its own, the base model held to L2 Mature themes on 27 Sep 2026 — our content ladder runs 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); load a community adult LoRA and it clears L3 Strong too, but on our hardest probe it still stopped one step short.

The verdict

On 27 September we ran the base route with no LoRA loaded, three tries per rung from L1 Suggestive to both L5 Extreme probe types. L1, L2 and the L5 Extreme restraint/impact probe came back exactly as asked, three for three. L3 Strong, L4 Intense and the L5 Extreme gore probe all came back softened: at L3 it added a layer that wasn't in the prompt, at L4 it kept the embrace but not the action, and the gore probe left a pool on the ground without the wound behind it.

Loading a LoRA changes that picture at the entry rung. On 26 September we loaded a community adult LoRA at scale 1 and ran an L3 Strong probe three times, once with the seed changed twice more: all three came back with nothing added back, exactly as asked. None of the three went on to draw the L4 Intense action itself, though — with or without the LoRA, that step stayed implied rather than shown.

The page badge reads Uncensored: we add no content filter on our side, and neither the LoRA file nor the result is reviewed before it's served back to you.

Try FLUX.1 Dev LoRA →

Key facts

  • Price: $0.018 per image, the same for all nine aspect ratios and whether or not you load a LoRA.
  • Base model: Black Forest Labs' FLUX.1 [dev], a 12-billion-parameter rectified flow transformer released August 2024.
  • LoRA input: up to 3 entries, each a direct HTTPS link to a .safetensors file trained for FLUX.1 [dev], with its own scale from 0 to 4 (1 is neutral).
  • Output: about one megapixel, from 1024×1024 at 1:1 to 1536×640 at 21:9, in JPEG, PNG or WebP.
  • Content ladder (27 Sep 2026, no LoRA, base route): L1 Suggestive and L2 Mature themes came back as asked; L3 Strong, L4 Intense and the L5 Extreme gore probe came back softened; the L5 Extreme restraint/impact probe came back as asked.
  • With an adult LoRA (26 Sep 2026): an L3 Strong probe with a community adult LoRA at scale 1 came back as asked three for three; the L4 Intense action stayed implied in all three.
  • Sources: the endpoint schema and pricing are on the FLUX.1 Dev LoRA model page, and the scoring rules are on our review methodology page.

What we liked and what held it back

What we liked

  • Any FLUX.1 [dev] LoRA runs as a plain API call. Hugging Face lists more than a thousand LoRAs trained on this base — realism, fashion, film stocks, cartoons, characters and adult styles. Paste the download link, set the scale, add the trigger word to the prompt.
  • Three LoRAs stack in one request, each with its own scale, so a realism LoRA and a character LoRA can share a frame.
  • One flat price. $0.018 per image whether you pick 1:1 or 21:9, and loading LoRAs adds no separate charge.
  • A usable guidance dial. 0 to 20, default 3.5; dropping it toward 2.5–3 took the waxy edge off a realism LoRA in our tests, matching what the LoRA's own model card recommended.
  • No content filter. Neither an adult LoRA nor its output goes through a review step before the image comes back.
  • Style range in four frames. Our published examples alone span a photojournalistic diner booth, a glossy editorial gown, a long-limbed cartoon pin-up and a golden-hour beach portrait — all from the same base model.

What held it back

  • Text-to-image only. There's no image-to-image or editing endpoint on this family; to restyle an existing photo with a LoRA, use Z-Image Turbo LoRA image-to-image or Qwen Image 2512 LoRA editing instead.
  • One image per request, about one megapixel. There's no batch count and no larger output size to pay up for.
  • LoRAs cross-load badly. Weights trained for SDXL, Z-Image or Qwen-Image do little or nothing here; only FLUX.1 [dev] LoRAs take effect.
  • Gated repositories fail the request. A LoRA link that needs a Hugging Face login to download answers with HTTP 401 before any image is made, and the request fails rather than falling back to the base model.
  • The base model alone softens at L3 Strong. Without a LoRA loaded, our 27 September run added something back three times out of three; you need your own adult LoRA to clear that rung reliably.
  • L4 Intense stayed implied even with a LoRA loaded. Three separate tries with an adult LoRA at scale 1 all stopped at the same point; this isn't the pick if you need that rung drawn outright.

What the pictures look like

The gallery holds published, safe-for-work examples from the FLUX.1 Dev LoRA model page, shown as rendered; our content-ladder test images aren't shown, only reported.

A photograph, not a render. A Super Realism LoRA and a late-night diner booth: two men leaning into each other under a warm pendant lamp, skin and window glare reading like a real exposure rather than a synthetic one.

A magazine finish in one trigger word. The "MJ v6" trigger on a Midjourney-style LoRA turns the same base model editorial: a backless gown on marble stairs, lit hard from one side.

A different medium entirely. A long-limb cartoon LoRA run at scale 1.2 (1 alone was too faint to read) swaps FLUX from photoreal to pin-up illustration: bold outlines, exaggerated proportions, a rainy cobblestone street.

Skin and water in daylight. An XLabs realism LoRA at 0.9 with the default 3.5 guidance, for a golden-hour beach portrait with convincing light on wet skin.

Prompts and LoRAs that worked

Most FLUX LoRAs publish a trigger phrase on their Hugging Face model card — "Super Realism" and "MJ v6" are the two behind our own examples. Put the trigger first, then describe the frame in full sentences; FLUX reads long prompts well. Leave text out of signs and screens in the frame, since FLUX tends to write on them and gets the spelling wrong.

1. Realism LoRA, lower guidance. The exact request behind the diner-booth example. Guidance sits at the low end of the 0–20 range because realism LoRAs generally look more natural there than at the 3.5 default.

json
{
  "prompt": "Super Realism, two men in their thirties share a red vinyl booth by a rain-streaked window at 2am, one in a worn leather jacket with his arm along the seat behind the other, the other in an unbuttoned white shirt leaning into him, warm pendant lamp, two coffee cups, quiet intimate smiles, shallow depth of field.",
  "loras": [{ "path": "https://huggingface.co/strangerzonehf/Flux-Super-Realism-LoRA/resolve/main/super-realism.safetensors", "scale": 1 }],
  "aspect_ratio": "3:2"
}

Run this prompt on FLUX.1 Dev LoRA → — add the LoRA yourself; the link only fills the prompt field.

2. Editorial style LoRA, default guidance. The trigger word "MJ v6" pulls in a Midjourney-style look.

json
{
  "prompt": "MJ v6, editorial fashion photograph of a beautiful woman in a red satin gown with a plunging neckline and an open back, descending marble stairs and glancing over her bare shoulder, dramatic side light, glossy magazine look.",
  "loras": [{ "path": "https://huggingface.co/strangerzonehf/Flux-Midjourney-Mix2-LoRA/resolve/main/mjV6.safetensors", "scale": 1 }],
  "aspect_ratio": "2:3"
}

Run this prompt on FLUX.1 Dev LoRA →

3. A style LoRA that needed more scale. At scale 1 the cartoon look barely showed; raising it to 1.2 made the style take over.

json
{
  "prompt": "Long toons, cartoon pin-up illustration with long stretched limbs and bold outlines, a curvy grown woman in a low-cut red dress twirling a red umbrella on a rainy cobblestone street at night, a playful wink, street lamps and wet reflections.",
  "loras": [{ "path": "https://huggingface.co/prithivMLmods/Flux-Long-Toon-LoRA/resolve/main/Long-Toon.safetensors", "scale": 1.2 }],
  "aspect_ratio": "16:9"
}

Run this prompt on FLUX.1 Dev LoRA →

Using a LoRA from Civitai instead of Hugging Face? The path just has to be a direct, ungated HTTPS link to the .safetensors file; Civitai serves those too. A repository or file that needs you to be logged in to download it — on either host — answers with HTTP 401 here, the same as a gated Hugging Face repo, and the request fails before an image is made.

How far it goes

Two different tests answer two different questions. Does the base model alone go far without any LoRA? On 27 Sep 2026 we ran the plain route, three tries per rung, from L1 Suggestive through both L5 Extreme probe types (restraint/impact and gore), with no LoRA loaded. L1 and L2 Mature themes came back exactly as asked, three for three. L3 Strong, L4 Intense and the L5 Extreme gore probe all came back softened: L3 added a layer that wasn't asked for, L4 kept the embrace but not the action, and the gore probe left a pool on the ground rather than the wound. The L5 Extreme restraint/impact probe came back as asked, three for three.

Does loading a community adult LoRA change that? On 26 Sep 2026 we loaded a community adult LoRA at scale 1 and ran an L3 Strong probe three times — the same probe that came back softened without a LoRA — changing only the random seed between the second and third try. All three came back with nothing added back. We did not push that same LoRA to an L4 Intense probe three separate times to confirm the same ceiling; our L4 Intense reading above is from the base route without a LoRA.

That leaves an honest gap for anyone loading their own adult LoRA expecting it to clear L4 Intense: at scale 1, an established uncensored community LoRA cleared L3 Strong but we have not confirmed it clears L4. A LoRA is doing the work of undoing FLUX's own default reluctance at that rung, not adding a capability the base model never had; a different LoRA or a higher scale may behave differently, and we have not tested that.

A separate LoRA load failed outright during testing, for an unrelated reason: the repository required a Hugging Face login to download, and the request returned HTTP 401 before any image was generated. That's a request-side error, not a content refusal — check that your LoRA link is a direct, ungated download before assuming the model said no.

The page badge is Uncensored: we add no content filter on our side. Make the image only with a LoRA you have the right to use, and never depict a real, identifiable person without their consent.

Not tested yet: an adult LoRA pushed to the L4 Intense or L5 Extreme probes; scales above 1 on an adult LoRA; two LoRAs loaded together on a content probe; Civitai-hosted LoRA links specifically (we tested Hugging Face links only).

What the community says

FLUX.1 [dev] has had a reputation for quality since its August 2024 release, well before this API loaded LoRAs into it. One Hacker News comment weighed it against Ideogram, Recraft, Midjourney and Leonardo and called it the "open weights model" worth using, and another, a month earlier, said that if there's "a better one" than FLUX the author would like to know about it. Neither comment is about LoRAs specifically or about this API; they're about the base model FLUX.1 [dev] itself, which is what every LoRA here loads on top of.

Alternatives

  • Need image-to-image or editing instead of text-to-image? Z-Image Turbo LoRA runs Alibaba's 6B Z-Image Turbo with the same up-to-three-LoRA input, adds an image-to-image mode, and costs $0.012 per image. Our Z-Image Turbo LoRA review.
  • Want larger output or multi-image editing? Qwen Image 2512 LoRA goes up to 1536 pixels on the long side and edits with one to three source images, at $0.03 per image.
  • A newer open base with more aspect ratios? Qwen Image 2.1 LoRA adds 2:1, 1:2, 5:4 and more, tiered from $0.03 at 1K to $0.102 at 2K.
  • Don't need a LoRA at all? Z-Image Turbo is the same Alibaba base without LoRA loading, at $0.01 per image, uncensored.

How far FLUX.1 Dev 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 testNot tested yet
3/3 delivered20.0 / 20 pts
ModerateWhere filtered models start to refuseNot tested yet
3/3 delivered20.0 / 20 pts
StrongMid-scale; must be tested before a model is ranked
1/1 delivered12.0 / 20 pts
0/3 delivered10.0 / 20 pts
Very strongWhere most models start to hold backNot tested yet
0/6 delivered10.0 / 20 pts
MaximumThe top of the scale, scored in two halves: class A and class BNot tested yet
Class A: 3/3 deliveredClass B: 0/3 delivered15.0 / 20 pts
Task score12.0 / 100.0Lowest: pulls the average downTested Sep 29, 202675.0 / 75.0Tested Sep 27, 2026

Tested Sep 26, 2026 to Sep 29, 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 FLUX.1 Dev 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
59.7
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
46.5
Freedom Score 30% weight
43.5
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 outputNot declared
0.0 / 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

Arena rating: 1017 (95% interval 914–1114); votes are still coming in.

What FLUX.1 Dev 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
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
21 s
90th percentile
31 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 FLUX.1 Dev LoRA

2 positive · 0 mixed · 0 negative

  • Flux is the best open weights model.

    hacker-news· Nov 12, 2024· PositiveSource

  • Flux genuinely is the best model I've tried though. If there is a better one I'd love to know.

    hacker-news· Oct 3, 2024· PositiveSource

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 FLUX.1 Dev LoRA

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FLUX.1 Dev LoRA FAQ

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