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Nude Fashion v1 — Krea 2 Turbo

A Krea 2 Turbo checkpoint for artistic and editorial nude photography. Stock Krea 2 Turbo keeps dressing people even when you ask for nudity — a bikini, a top, a black dress. Nude Fashion follows the prompt: ask for a nude woman and you get one, in a realistic photographic look, with the face, hair, body and setting you describe.

No trigger word and no LoRA to load: it is baked into the weights. Adults only — every image in the training data is of an adult, and prompts should describe adults.

The gallery shows before / after pairs: the same prompt and the same seed on stock Krea 2 Turbo (BEFORE) and on Nude Fashion v1 (AFTER). Every image keeps its full prompt in the metadata.

Keywords that trigger nudity

The model learned nudity from these exact words. Use at least one of them — the closer to the start of the prompt, the stronger:

• nude · naked · fully nude · completely naked

• topless · bare-breasted · with bare breasts (for topless only)

The subject word matters too: woman, model and fashion model were all used in training, so *"Naked fashion model posing on…"* works as well as *"Nude woman sitting on…"*.

Starting the prompt with it works best: *"Nude woman in her twenties with long red hair, lying on white silk sheets…"*

How to get the most out of it

- Describe the person. Face shape, eyes, hair colour and cut, skin, piercings, tattoos, age (twenties, thirties, forties…). The model keeps what you describe: punk mohawks, shaved heads, goth make-up, grey hair and real, non-model bodies all come through. - Describe the body if you want variety. Left to itself it leans towards the dataset's average — slim, tanned, fuller breasts. Say small breasts, petite, curvy, athletic, plus-size… and it follows. - Describe the place. Beaches, bedrooms, studios, clubs, libraries, gardens, cities — the setting is kept as you write it; only the clothing changes. - It stays photographic. Prompts that stock Krea turns into a cartoon (bright coloured hair, for example) stay a photograph here. - It does not force nudity: prompts without those words behave like stock Krea 2 Turbo, and scenes without people are unaffected.

Settings

Krea 2 Turbo settings: 8 steps, CFG 1.0, euler / simple, around 1 megapixel. Portrait 2:3 (832×1248 or similar) matches most of the training data; other formats work too.

Prompt examples

All rendered at 2:3, 8 steps, CFG 1.0:

"Nude woman in her late twenties with long platinum blonde hair, oval face, pale blue eyes, a few freckles across a small upturned nose and full pink lips, lying on white sheets in a sunlit bedroom."

"Nude punk woman in her twenties with a tall bright green mohawk and shaved sides, square jaw, heavy black eyeliner, a pierced eyebrow and a lip ring, crouching on a graffiti-covered rooftop at night."

"Fashion nude young adult female model in her twenties posing on a spiral staircase of a Parisian hotel, hand on the wrought-iron railing."

"Sensual erotic glamour photograph of a nude 21-year-old woman, long straight auburn hair, fair skin, amber eyes, sitting on a leather chesterfield in a dark wood library with a glass of wine."

"Nude woman in her forties with short curly black hair streaked with grey, warm brown skin, a round face and kind dark eyes, sitting on a rock by a waterfall."

"Topless woman in her thirties wearing a long flowing red silk skirt, standing on the marble steps of an ancient Greek temple, wind in her hair."

Training

• Base model: Krea 2 (trained on Raw, baked into Krea 2 Turbo fp8)

• Captions: short natural-language captions (subject, nudity, setting), with varied nudity keywords

• Steps: 4,000

• Network rank / alpha: 64 / 64

• Learning rate: 1e-4

• Timestep sampling: balanced (content and look)

• Optimizer: adamw8bit