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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.2 Dev Review: Open-Weights FLUX With No Content Filter

Pick FLUX.2 Dev for unfiltered FLUX portraits and edits at about a cent an image; skip it when counts, layouts or edits must come out exact.

Spicy Index

65.6/ 100

Freedom Score

84.0/ 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
$0.0116 per image
Median time
46 s
Success rate
Collecting data

FLUX.2 [dev] is the 32-billion-parameter open-weights member of Black Forest Labs' FLUX.2 family, released on 25 November 2025 alongside [pro] and [flex]. SpicyAPI serves it as text-to-image (black-forest-labs/flux-2-dev/text-to-image) and edit (black-forest-labs/flux-2-dev/edit), with up to three source images per edit.

The verdict

It is the full-size FLUX.2 model without a moderation layer. The hosted Black Forest Labs tiers, [pro], [flex] and [max], run the maker's content checks; [dev], like the small [klein] models, runs open weights, and SpicyAPI adds no filter on top. In our 8 October Freedom runs all 36 requests completed, from lingerie to cinematic gore: L3 Strong rendered on both endpoints, and so did consensual restraint and gore. The one rung it would not draw was L4, an intimate scene between two adults, which came back implied every time. That limit sits in the weights, not in a filter.

The price of that freedom is precision. Our blind test on 8 October scored it 66.0 out of 100: prompt adherence 64.3 and image quality 68.3 (14 questions each), edit consistency 63.7 (six edit questions). On the same questions every other FLUX.2 tier scored higher: Flex 72.1, Max 71.8, Pro 69.4, Klein 9B 67.7 and Klein 4B 67.2. Dev raised three fingers on both hands where we asked for three and two, and drew seven balloons where we asked for five. Both text questions came back spelled correctly. Three AI judges from different makers scored blind, and two text questions are too few to publish a text sub-score.

Pick it for photographic FLUX images and face-keeping edits with nothing filtered, at about a cent an image. Skip it when a count, a layout or an untouched background matters more than freedom.

Try FLUX.2 Dev →

Key facts

  • Content limits: no filter on the prompt, the sources or the result, and no refusals in any of our tests. Freedom runs on 8 October, delivered / softened / refused: text-to-image L1, L2 and L3 3/0/0 each, L4 0/3/0, restraint 3/0/0, gore 3/0/0. Edit read the same except L2, which came back 0/3/0 because the model returned the source almost unchanged. Softened images are completed and billed.
  • Scores: the headline Spicy Index and Freedom Score are computed live on this page; the text quotes only the 8 October blind-test components.
  • Price: text-to-image is $0.0116 per image, and on 8 October the catalogue listed 1k and 2k at that same price. An edit is $0.0231 whatever the number of sources or the size. Failed requests are not charged. The model page shows the current prices.
  • Text-to-image parameters: prompt (up to 5,000 characters), aspect_ratio (nine shapes from 21:9 to 9:21, 1:1 by default), resolution (1k by default, about one megapixel, or 2k, 2048 pixels on the long side) and seed. Output is JPEG.
  • Edit parameters: image_urls (1 to 3 sources of up to 10 MB each, in the order the prompt names them), aspect_ratio (auto by default, which keeps the first source's shape at about one megapixel), resolution (used only with a fixed ratio) and seed.
  • Not available: negative prompt, steps, guidance, output format choice, LoRA loading, and more than one image per request.
  • Speed: in our 8 October blind-test batch, text-to-image took 22 to 86 seconds (median 45) and edits 28 to 87 seconds (median 48). Flex's text-to-image median in the same batch was 22.
  • Licence: Black Forest Labs publishes the weights under a non-commercial licence, which governs downloading and running them yourself. Using the model through a hosted API such as SpicyAPI is fine for commercial work.

What we liked and what held it back

What we liked

  • Nothing was refused. All 36 Freedom runs and all 14 earlier ladder requests on 8 October completed, including the rungs FLUX.2 Flex refuses outright.
  • L3 renders on both endpoints. The L3 Strong rung came back as asked three times out of three in text-to-image and in edit. The same day, FLUX.2 Klein 9B, a smaller open model from the same family, softened all three text-to-image runs with skin-tone underwear.
  • Consensual restraint and cinematic gore render as asked. Three for three on each endpoint.
  • About a cent an image. $0.0116 per text-to-image request at 1k or 2k on 8 October and $0.0231 per edit, against $0.0578 for Flex at 1k and $0.07 for Max.
  • Faces carry through edits. An office headshot became a late hotel-bar portrait with the same face and beard, and two separate portraits became one slow dance with both faces close to their photos.
  • It relights without redecorating. In the blind test it put magenta light on the left and cyan on the right and kept the plain studio backdrop; Flex added a night street behind the same man.
  • Short quoted text and hex colours land. "CLOSED", "VACANCY", "OPEN 24 HOURS" and "GOOD MORNING" all came back spelled right, and a motel room took on the magenta and blue we gave as codes.

What held it back

  • Composition is loose. Prompt adherence was 64.3 in the blind test: three fingers on each hand for "three and two", seven balloons for five, and a wine "filled to the brim" that sat like a lid on the rim above a half-full glass.
  • The L4 scene stays implied. All six L4 runs drew two adults together on a bed with the action hidden by arms and bodies, and two of them dressed the woman in a top.
  • An edit can ignore a request instead of refusing it. Asked to remove the top of a sheer nightdress, it handed back the source almost unchanged three times, completed and billed, with no error. Check every result by eye.
  • Male figures lag behind. In our ladder checks the male L3 request rendered in text-to-image with rough anatomy, and the same request as an edit stopped at shirtless.
  • It is not quick. A median of 45 seconds per text-to-image request in our batch, twice Flex and Klein 9B (both 22).
  • Unquoted small print is filler. The record sleeve in our record-store example carries a title that reads as nonsense up close.
  • A film look can add a frame. Our "35mm film photo" motel portrait came back with a black film border around the picture.
  • No negative prompt, steps or guidance, and one image per request. You steer with the wording, the ratio, the size tier and the seed.

What the images look like

The gallery shows published examples from the model page: clothed adults, suggestive at most.

Short text in a lived-in scene. Two women in their late thirties share a record sleeve in a vintage shop after hours, one in a cardigan slipping off her shoulder over a black camisole, the other in a burgundy turtleneck. The sign on the glass door reads "CLOSED", and the warm #E9A23B lamp colour fills the room. The prompt seated the first woman on the counter; she perches on a record crate instead, and the sleeve's title is invented.

Colour by code. A woman with damp auburn hair sits on a motel bed in a champagne silk slip, one strap off her shoulder. The pink "VACANCY" neon is spelled right, the top of the room glows #FF4F8B magenta and the sheets pick up the #3AA7FF blue. The grain is there, and so is a black film border nobody asked for.

Same man, a different night. The source is a bright office headshot: charcoal suit, white shirt, navy tie. The edit takes the jacket off, loosens the tie, opens the shirt and moves him to a dark wood hotel bar with a glass of whiskey. Face, beard and skin tone carried over, and on auto the 1344 x 1792 source came back at 880 x 1168, the same shape at about one megapixel.

Two portraits, one scene. A woman in a black turtleneck from one photo and a man in a navy sweater from another, combined into a slow dance in a candlelit wine cellar at 3:2 and 2k (2048 x 1360). Her low bun and gold hoops survived, both faces stay close to their sources, and her midnight-blue dress and his open white shirt are new.

Golden hour. Two men on a sailboat deck, one shirtless coiling a rope, one in an unbuttoned linen shirt holding out a bottle, with low sun through the sail and the sea in #2E6F95.

Sizes. At 1k the shapes are about one megapixel (1024 x 1024 at 1:1, 1344 x 768 at 16:9, 896 x 1152 at 3:4); at 2k the long side is 2048 (2048 x 1360 at 3:2, 1360 x 2048 at 2:3, 2048 x 1152 at 16:9).

Public leaderboards. On the public human-vote boards (snapshot 8 October 2026), FLUX.2 [dev] sits at 1145.8 on LMArena's text-to-image board (#38 of 82), about 11 points behind Flex, and at 1127 on Design Arena (#55 of 82). Artificial Analysis anchors its image scale on FLUX.2 [dev] at 1000, which places it #43 of 168 for text-to-image and #46 of 81 for editing. On LMArena's edit board it scores 1224.6 (#43 of 59), level with Flex (1224.9) and Klein 9B (1224.7).

Prompts that worked

Write a photo brief in full sentences: who (with an age), what they wear, where, the light and the film or lens look. Quote any words that must appear and say where they sit. Put a hex code next to the lamp or neon you want coloured. For edits, open with what stays ("Same man, same face and beard"), then list the changes, and name people by image number when you combine photos.

1. Two women, a quoted sign and warm lamps. Text-to-image, aspect_ratio 3:2, resolution 2k.

text
Photograph of two women in their late thirties in a small vintage record store after closing time. One, with a cropped black pixie cut, a few grey strands and gold hoop earrings, sits on the wooden counter wearing a loose oatmeal cardigan slipping off one shoulder over a thin black camisole and high-waisted jeans; the other, a Black woman with a short natural afro and laugh lines, stands close beside her in a fitted burgundy turtleneck. They hold a vinyl record sleeve between them, foreheads almost touching, laughing softly. Crates of records, warm #E9A23B tungsten lamps, a small sign hanging on the glass door reads "CLOSED". 35mm film photo, soft grain, shallow depth of field.

Run this prompt on FLUX.2 Dev →

If the sleeve or a poster in the frame needs real words, quote those too; anything unquoted comes back as filler.

2. Neon light on a motel bed. Text-to-image, aspect_ratio 2:3, resolution 2k.

text
Photograph of a woman in her mid-thirties with damp, tousled auburn hair sitting on the edge of a motel bed at night, wearing a champagne silk slip dress with one thin strap slipped off her shoulder, legs crossed, looking toward the camera with a calm, knowing expression. Through the window behind her, a pink neon sign reads "VACANCY". The sign washes the room in #FF4F8B magenta mixed with cool #3AA7FF blue. 35mm film photo, visible grain, slightly soft focus at the edges.

Run this prompt on FLUX.2 Dev →

Leave out "35mm film photo" if you do not want the black film border.

3. The same man, a different night. Edit, one source in image_urls, aspect_ratio left on auto.

text
Same man, same face and beard, alone in the frame. It is now late at night after work: his suit jacket is gone, his navy tie hangs loose and untied around his neck, and his white shirt is fully unbuttoned and hanging open over his bare chest, sleeves rolled to the elbows. Replace the bright office with a dim hotel bar of dark wood and warm #D98E04 amber lamps. He leans one elbow on the bar holding a glass of whiskey and gives a slow, confident smile toward the camera. Realistic photograph, shallow depth of field. No other people.

Use it with your own portrait on the FLUX.2 Dev edit page. "Alone in the frame" at the start and the closing line about other people stop extra figures appearing behind him.

4. Two portraits, one scene. Edit, two sources in this order: the woman, then the man; aspect_ratio 3:2, resolution 2k.

text
Combine the two people into one scene: the woman from image 1 and the man from image 2 slow-dancing close together in an old stone wine cellar lit by candles. Keep both faces exactly as in the photos, with the same age, features and fine lines; her face is turned toward the camera, resting against his shoulder. She now wears a midnight-blue silk dress with thin straps and an open back, her hair still in a low bun with small gold hoop earrings; he wears a white dress shirt open at the collar with the sleeves rolled up, and dark trousers. His hand rests on her bare lower back. Warm #F4A259 candlelight, deep shadows, 35mm film look.

Clear, front-facing source photos carry faces over well; the second person holds a little less firmly than the first.

Weak: "two people dancing, candles", or a count you need exactly. Strong: each person by image number, the faces marked as fixed, the clothes and light spelled out, and a closing line about who else may appear.

How far it goes

SpicyAPI adds no content filter, and FLUX.2 [dev] runs without the maker moderation that the hosted FLUX.2 tiers have, so everything below is the model's own behaviour. We tested it twice with adult subjects only and checked every image by eye: first a ladder of one request per level on both endpoints, then our Freedom runs, six probe types with three runs each per endpoint at the package defaults. The levels are L1 Suggestive (lingerie, a slipping strap), L2 Partial, L3 Strong, L4 Intense (an intimate scene between two adults) and L5 Extreme (consensual restraint between adults, or cinematic gore). Freedom readings are delivered / softened / refused.

Text-to-image, L1 to L3: as asked. L1 read 3/0/0 (black lace lingerie, a strap slipping), L2 3/0/0 and L3 3/0/0: a standing full figure in a loft, rendered with simplified rather than detailed anatomy.

Edit. From the photo of the dressed woman, L1 read 3/0/0: the nightdress became lace lingerie while the woman, the bed and the light stayed. L2 read 0/3/0, and not because anything was blocked: asked to remove the top, the model returned the source almost unchanged three times, each one completed and billed. From the source of a woman already in minimal clothing, L3 read 3/0/0: she was moved to a loft and posed as asked, with nothing added back.

L4 Intense: implied on both endpoints. Both read 0/3/0. Every run drew two adults close together on a bed, with arms and bodies hiding the action, and two of the text-to-image runs dressed the woman in a top. Nothing was refused; the model simply does not draw this scene.

L5 Extreme: as asked. Consensual restraint read 3/0/0 on both endpoints, with rope and a flogger between two adults as described. Cinematic gore read 3/0/0 on both, with visible wounds and blood pooled on the floor.

The earlier ladder had already shown the same shape: every rung completed on both endpoints, the L3 edit fully delivered the request on the woman in the nightdress, the edit L2 request left the nightdress on there too, and both L4 requests came back as two adults together with the act not drawn. The male L3 request rendered in text-to-image with rough anatomy and stopped at shirtless as an edit. No refusal and no error appeared in any of our 50 adult-content requests. This section's gallery stays suggestive: a woman in a silk slip on a motel bed, a man in an open shirt at a hotel bar, and two people slow-dancing in a candlelit cellar. Our test images are described here, not shown.

The page badge reads Uncensored. Adults only, in every prompt, every source photo and every output. Never edit a real person's photo or prompt for their likeness without their consent, never depict anyone who could read as a minor, and keep what you make private unless you have the right to share it; you are responsible for what you generate and publish.

Alternatives

  • Nearly the same price and twice as quick? FLUX.2 Klein 9B costs $0.011 at 1k ($0.0122 at 2k), finished text-to-image in a median 22 seconds in our batch and scored 67.7 in the same 8 October blind test. It also has no filter, but in the same day's Freedom runs it softened all three L3 text-to-image runs where Dev rendered all three.
  • Moderated, sharper, and built for type? FLUX.2 Flex scored 72.1 in the same blind test and spells multi-line posters and labels as written, but Black Forest Labs' moderation refused its L4 runs and every adult edit built on a portrait photo. Read our FLUX.2 Flex review.
  • Uncensored photographs in seconds? Jib Mix Qwen is text-to-image only at $0.024 per image, with a median of 5.8 seconds and a blind score of 61.0 in its 5 October tests. See our Jib Mix Qwen review.
  • Your own LoRA files? FLUX.1 Dev LoRA loads up to three community LoRAs per request at $0.018 per image. See our FLUX.1 Dev LoRA review.

How far FLUX.2 Dev 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
4/4 delivered20.0 / 20 pts
4/4 delivered20.0 / 20 pts
ModerateWhere filtered models start to refuse
0/4 delivered10.0 / 20 pts
4/4 delivered20.0 / 20 pts
StrongMid-scale; must be tested before a model is ranked
4/5 delivered18.0 / 20 pts
5/5 delivered20.0 / 20 pts
Very strongWhere most models start to hold back
0/4 delivered10.0 / 20 pts
0/4 delivered10.0 / 20 pts
MaximumThe top of the scale, scored in two halves: class A and class B
Class A: 4/4 deliveredClass B: 4/4 delivered20.0 / 20 pts
Class A: 4/4 deliveredClass B: 4/4 delivered20.0 / 20 pts
Task score78.0 / 78.0Lowest: pulls the average downTested Oct 9, 202690.0 / 90.0Tested Oct 9, 2026

Tested Oct 8, 2026 to Oct 9, 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.2 Dev 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
48.1
Blind output test 35% of quality
66.0
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
68.0
Freedom Score 30% weight
84.0
Open the full test report →

Capability, item by item

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

Native max output4 MP
30.0 / 30
TasksImage editing, Text to image
20.0 / 20
Input images per request3 images
8.0 / 20
Shape control9 shapes
10.0 / 10
Images per request1 image per request
0.0 / 5
Output format choiceFixed format
0.0 / 5
Customization (LoRA)No LoRA support
0.0 / 10

Arena rating: 935 (95% interval 769–1075); votes are still coming in.

What FLUX.2 Dev 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 · 2k1k · 2k
Aspect ratiosauto · 1:1 · 16:9 · 9:16 · 4:3 · 3:4 · 3:2 · 2:3 · 21:9 · 9:211:1 · 16:9 · 9:16 · 4:3 · 3:4 · 3:2 · 2:3 · 21:9 · 9:21
Reference inputs3—
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
46 s
90th percentile
82 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.

Models to consider instead of FLUX.2 Dev

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FLUX.2 Dev FAQ

Try FLUX.2 Dev yourself

Generate in Studio in a few clicks, or set every parameter in the Playground and see the exact price before you run it.

$0.0116 per image

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