Eastern European Female Anatomy NSFW LoRA v1

Anatomy improved. Perfection remains on back order. 👋

This training run mainly targets the accuracy and diversity of adult female human anatomy. Most ordinary poses and many difficult viewpoints are more usable, but defects still exist. Hands can negotiate their own anatomy, limbs can lose track of the original plan, and intimate details may still require a different seed, prompt, or another attempt.

In other words: the model studied very hard, passed most of the practical exam, and still occasionally draws something that would make an anatomy textbook quietly close itself.

Eastern European Female Anatomy NSFW LoRA v1 is an experimental photorealistic LoRA for Qwen/Qwen-Image-2512 Text-to-Image. It was trained on a varied adult Eastern European photographic dataset to improve body proportions, pose diversity, natural skin rendering, and local anatomical detail across indoor, outdoor, portrait, full-body, and difficult-angle compositions.

Adult-content notice: This repository contains explicit adult material and is intended only for adults. All subjects represented by the training objective and all people described in the examples are adults.

✨ Features

• Trained on 10,649 adult images
• Greater variety in adult female body shape, pose, angle, and composition
• Improved attention to breast, vulva, perineum, buttocks, and anus detail
• Photorealistic indoor, outdoor, domestic, studio, and environmental imagery
• Supports full-body, medium, portrait, close-up, front, rear, and low-angle views
• Includes 10,000 reusable national-park testing prompts
• Designed and tested for Qwen-Image-2512 T2I

🧪 Experimental Goal

The goal is not to force one face, body type, pose, or photographic style. The training set emphasizes variation so that the LoRA can respond to a wider range of adult anatomy prompts without collapsing into one repeated composition.

The intended improvement is anatomical tendency, not anatomical enforcement. Results still depend on prompt wording, seed, resolution, LoRA weight, framing, occlusion, and the base model. Difficult poses can still produce incorrect hands, feet, joints, proportions, or intimate anatomy.

🖥️ Training Details

Hardware

• GPU: NVIDIA RTX PRO 6000 Blackwell 96GB

Dataset and Network

• Base model: Qwen/Qwen-Image-2512
• Training images: 10,649
• Dataset type: Varied adult Eastern European photography
• LoRA rank: 64
• Batch size: 8
• Training steps: 10,000

Trigger Words

Use the main trigger for normal generation:

zl_nubiles_v1

For anus-focused compositions learned from the dedicated verified subset, the optional detail token can be added after the main trigger:

zl_nubiles_v1, anusdetail

The detail token is most useful when the relevant anatomy is actually visible in the requested pose and camera angle.

⚠️ Base Model Compatibility

This LoRA is intended for:

• Qwen/Qwen-Image-2512 for Text-to-Image generation

Compatibility with Qwen-Image-Edit or unrelated model architectures is not guaranteed. A different base checkpoint may produce weak effects, artifacts, incorrect colors, or a loading error.

🔍 Scope and Limitations

Possible limitations include:

• incorrect hands, fingers, feet, limbs, or joints
• duplicated, missing, merged, or disconnected body parts
• inaccurate intimate anatomy in difficult angles or heavy occlusion
• over-smoothed skin or repeated facial characteristics
• inconsistent body proportions between seeds and prompts
• conflicts between the requested pose and learned photographic composition
• background artifacts, especially in geometrically complex environments
• occasional failure to expose a requested detail when framing hides it

Most results are usable, but this model does not guarantee anatomical correctness. Review generated output carefully and regenerate or edit visible defects when necessary.

🖼️ Examples

The cover image is intentionally shown without a prompt. The three test samples below include their complete prompts. All depicted people are adults.

Example 1

Prompt

A nude woman, kneeling backbend with thighs apart and abdomen extended, visible labia and vulva emphasized by the pose and camera angle, full-body frontal view, near a historic stone bridge in a prairie national historical park, muted storm-front light, fine-art outdoor photography, adult subject, realistic body proportions.

Example 2

Prompt

A nude woman, open-knee seated pose with one hand braced behind her, open pelvic angle revealing the vulva and labial contours, wide environmental portrait, along an empty parkway turnout in a windswept national seashore, diffused light after rain, subtle film-grain fine-art photography, adult subject, realistic body proportions.

Example 3

Prompt

An adult woman is nude except for socks, performing a forward bend with hands on the floor and legs straight. Her vulva, breasts, areolae, and nipples are visible. Visible anatomy: vulva, breasts, areolae, and nipples.

🏞️ About the 10,000 National-Park Prompts

This repository includes national_park_10000_prompts.txt, containing 10,000 adult-only prompts with varied national-park environments, weather, lighting, camera angles, poses, and photographic styles.

If you like national parks, excellent: here are 10,000 opportunities to test the scenery, the model, and the patience of your GPU. The prompts are much cheaper than 10,000 entrance tickets, require no hiking boots, and have so far caused zero arguments with park rangers. Please keep the actual experiments in the GPU; real parks already have enough paperwork.

🚀 Reference Code — Qwen-Image-2512 T2I

The downloadable reference.py loads Qwen-Image-2512 in BF16, fuses the official community Lightning 4-step adapter, and applies this LoRA. A high-memory CUDA GPU is recommended.

For consumer GPUs, use reference_low_vram.py. It enables sequential CPU offloading plus tiled and sliced VAE decoding. This saves substantially more VRAM at the cost of slower generation and higher system-RAM usage.

Installation

pip install -U diffusers transformers accelerate peft safetensors

Python

import math

import torch
from diffusers import DiffusionPipeline, FlowMatchEulerDiscreteScheduler


BASE_MODEL_ID = "Qwen/Qwen-Image-2512"
LIGHTNING_MODEL_ID = "lightx2v/Qwen-Image-2512-Lightning"
LIGHTNING_WEIGHT_NAME = (
    "Qwen-Image-2512-Lightning-4steps-V1.0-bf16.safetensors"
)
LORA_MODEL_ID = "perpetual3x/Eastern-European-Female-Anatomy-NSFW-LoRA-v1"
LORA_WEIGHT_NAME = "nubiles.safetensors"

scheduler_config = {
    "base_image_seq_len": 256,
    "base_shift": math.log(3),
    "invert_sigmas": False,
    "max_image_seq_len": 8192,
    "max_shift": math.log(3),
    "num_train_timesteps": 1000,
    "shift": 1.0,
    "shift_terminal": None,
    "stochastic_sampling": False,
    "time_shift_type": "exponential",
    "use_beta_sigmas": False,
    "use_dynamic_shifting": True,
    "use_exponential_sigmas": False,
    "use_karras_sigmas": False,
}

scheduler = FlowMatchEulerDiscreteScheduler.from_config(scheduler_config)
pipe = DiffusionPipeline.from_pretrained(
    BASE_MODEL_ID,
    scheduler=scheduler,
    torch_dtype=torch.bfloat16,
).to("cuda")

pipe.load_lora_weights(
    LIGHTNING_MODEL_ID,
    weight_name=LIGHTNING_WEIGHT_NAME,
    adapter_name="lightning",
)
pipe.fuse_lora(adapter_names=["lightning"], lora_scale=1.0)
pipe.unload_lora_weights()

pipe.load_lora_weights(
    LORA_MODEL_ID,
    weight_name=LORA_WEIGHT_NAME,
    adapter_name="nubiles_v1",
)
pipe.set_adapters(["nubiles_v1"], adapter_weights=[1.0])

prompt = (
    "zl_nubiles_v1, an adult woman in a full-body fine-art photograph, "
    "natural anatomy, realistic skin, environmental composition"
)
negative_prompt = (
    "child, minor, underage, youthful-looking, low quality, blurry, "
    "distorted anatomy, malformed hands, extra limbs, watermark, text"
)

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=928,
    height=1328,
    num_inference_steps=8,
    true_cfg_scale=1.0,
    generator=torch.Generator(device="cuda").manual_seed(42),
).images[0]

image.save("eastern_european_female_anatomy_v1.png")

🔞 Responsible Use

This model is intended exclusively for lawful, consensual, adult creative work. Do not use it to:

• create or sexualize minors or youthful-looking persons
• create non-consensual or exploitative sexual content
• depict an identifiable real person without permission
• harass, threaten, exploit, or defame another person
• create illegal content or bypass platform rules

Users are responsible for ensuring that their prompts, source material, and generated content comply with applicable laws and platform policies.

License & Copyright Notice

This LoRA may be used for personal and non-commercial purposes only. See the repository LICENSE file for the complete terms.

For commercial licensing inquiries, please contact the author.

🌿 Now Available — Chinese Female Anatomy NSFW LoRA v8

From a distance, the leaves on the same tree can look almost identical. Look closer and every leaf has its own shape, veins, edges, texture, scars, and odd little decisions. Human anatomy follows roughly the same rule, except it is considerably less cooperative and refuses to stay still for comparison.

The model is now released. It focuses on the anatomical accuracy and natural diversity of adult Asian women across different body types, poses, camera angles, movement, and photographic settings. Apparently, nature never received the copy-and-paste memo. Anatomy training should not pretend otherwise.

View Chinese Female Anatomy NSFW LoRA v8

Preview 1

Preview 2