Category: Models

FLUX has 3 models: Schnell, Dev and Prod. Schnell is lowest quality, meant for prototyping. Dev is higher quality, and Prod is even higher quality than that.

• FLUX Dev – https://huggingface.co/spaces/black-forest-labs/FLUX.1-dev
• FLUX Schnell – https://huggingface.co/spaces/black-forest-labs/FLUX.1-schnell
• FLUX Prod – TBD
• Alternative Web App: Try Pornjoy-AI

General Prompts

High quality, detailed, ultrarealistic photography, very cute completely naked 24-year-old woman resembling Cassie Cage, blond hair, broad chin, skin imperfections, completely naked breasts, black transparent panties, black garter belt, thigh high black stockings, cute round butt, gold heart necklace with diamonds, luxury penthouse background, volumetric lighting, taken by Canon R5, 85mm lens.

18 yo woman kneeling on the floor, looking at viewer, pov, nude, shot from above, woman waits in eager anticipation

18 yo woman kneeling on the floor, looking at viewer, pov, completely nude, small breasts, beautiful body, shot from above, woman looks at a banana eagerly

18 yo nude woman sitting on the floor, shot from above, pov, close up, woman holds and licks a cucumber, sensual

an athletic woman in red lingerie, perky nipples, looking at viewer, slight pout, she has blonde hair, brown eyes, hair in a ponytail, around 25 years old, large breasts

gorgeous korean woman, 20 year old, completely nude, tied up many ropes, thin waist, medium breasts, wide hips, deep depth of field, photography, Natural geographic photo, Hyper-realistic, 16k resolution, (masterpiece, award winning artwork)

a naked athletic woman, view from behind, a hairy man’s hand on her bottom, full body photograph, looking at viewer, slight pout, she has blonde hair, brown eyes, hair in a ponytail, around 30 years old, large breasts

Woman stands in front of a mirror, capturing a selfie. The image quality is grainy, with a slight blur softening the details. The lighting is dim, casting shadows that obscure her features. The room is cluttered, with clothes strewn across the bed and an unmade blanket. Her expression is casual, full of concentration, while the old iPhone struggles to focus, giving the photo an authentic, unpolished feel. The mirror shows smudges and fingerprints, adding to the raw, everyday atmosphere of the scene.

Gorgeous persian woman, 25 year old, completely nude, thin waist, medium breasts, wide hips, deep depth of field, photography, Natural geographic photo, Hyper-realistic, 16k resolution, (masterpiece, award winning artwork)

Gorgeous korean woman, 25 year old, completely nude, thin waist, medium breasts, wide hips, deep depth of field, photography, Natural geographic photo, Hyper-realistic, 16k resolution, (masterpiece, award winning artwork)

Gorgeous nordic woman, 25 year old, completely nude, thin waist, medium breasts, wide hips, deep depth of field, photography, Natural geographic photo, Hyper-realistic, 16k resolution, (masterpiece, award winning artwork).

Very beautiful sexy light red ponytail hair, breasts exposed nude, pink, cat green big eyes, Highly detailed, 25 years old, slim, full body, innocent face, naturally wavy hair, full nude body, High resolution, Masterpiece, best quality, intricate high detail, Highly detailed, Sharp focus, Detailed skin, realistic skin texture, texture, detailed eyes, professional, 4k, Charming smile, shot with canon, 85mm, slight depth of field, Kodak color vision, Body in perfect shape, extremely detailed, photographer_( ultra ), photographerrealistic, realistic, Post-processing, maximum details, roughness, real life, ultrarealistic, photorealism, photography, 8k hd, Netstockings,stands in a seductive pose for the camera inside her bedroom, playing with her hair, Naked.

Russian girl lying in bed, blonde, she is dressed in tight (transparent:1.2) smoky gray latex suit with long sleeves and (gloves:1.3), beautiful tattoos visible through transparent latex, transparent latex is very shiny, latex socks, crotch zipper, very detailed, clear image with dramatic lighting, detailed face skin, stroking herself, full body view.

Full sex in FLUX is not possible

But we can try some sexual interactions however:

A young surprised and shy man sitting on a old bed, stares fearfully at a woman’s cleavage, dressed in old cheap torn pyjama from the 18th century, a cute young curvy woman is next to him, smiling lasciviously and pulling his pyjama off, ripping off her dress, her girlfriend is bathing next to them, cinematic light, breathtaking movie scene, shallow depth of field

A young man sitting on an old bed, stares at a woman’s cleavage, both are wearing old style pajamas, cute young curvy woman smiling lasciviously and touching the man, breathatking scene, cinematic light

Incredible text comprehension

an athletic 20 year old woman, nude, perky nipples, looking at viewer, slight pout, she has dirty blonde hair, brown eyes, hair in a ponytail, medium breasts, “DADDYS LITTLE SLUT” written with sharpie on stomach

8k, natural lighting, a beautiful petite 18 yo girl at the gym working out, beautiful smile, green eyes, shoulder length blonde wavy hair, skimpy gray lycra shorts, cropped pink tshirt, tshirt has centered text: ” cock is the best protein “

age 21 nude woman sitting on the floor, shot from above, pov, close up, maths, engineering, physics, equations all over her naked body in permanent marker to try and remember them for the exam, overwhelmed, anxious, quirky, facing viewer, close up face, seductive deep depth of field, photography, Natural geographic photo, Hyper-realistic, 16k resolution, (masterpiece, award winning artwork), many details

FLUX NSFW

Creating a program to assess whether an image of a person is at risk of being manipulated by tools like DeepNude AI requires a combination of ethical AI practices and advanced machine learning models to detect potential vulnerabilities. Here’s an outline of how to approach this:

1. Understanding the Manipulation Methods

DeepNude AI typically uses generative adversarial networks (GANs) to manipulate or generate altered images of people. To build an AI that can assess whether an image is vulnerable to such manipulation, the model needs to identify factors that make images susceptible, such as:

• Clear visibility of body features.
• Specific clothing types (like swimsuits or light-colored clothing).
• Image quality and resolution (higher resolution can lead to better manipulation results).

2. Data Collection and Model Training

To detect potential risks, you’ll need a dataset that includes both images that have been manipulated using AI tools (such as DeepNude) and original, unaltered images. This dataset will be used to train a model to distinguish between images that have been manipulated or are vulnerable to manipulation.

3. Choosing an AI Model

The model should focus on image analysis and detection of possible indicators of manipulation. You can start with convolutional neural networks (CNNs), which are widely used in image classification and object detection. Pre-trained models such as InceptionV3 or ResNet can be fine-tuned on a dataset related to image manipulation and deepfake detection.

Alternatively, models developed specifically for deepfake detection, like XceptionNet or EfficientNet, have been shown to perform well in detecting AI-generated manipulations.

4. Detecting Vulnerabilities

The AI would be designed to scan the photo for signs such as:

• How much skin is exposed.
• Image angles or lighting that could make manipulation easier.
• The presence of face and body features that are often targeted by manipulative AI tools.

By analyzing these factors, the model could provide a risk score indicating the likelihood of the image being susceptible to AI-based manipulation.

5. Implementing the Program

Here’s a basic Python structure for such a program using Keras and TensorFlow:

pythonCopy codeimport tensorflow as tf
from tensorflow.keras.preprocessing import image
from tensorflow.keras.applications.inception_v3 import preprocess_input, InceptionV3
import numpy as np

# Load the pre-trained InceptionV3 model
model = InceptionV3(weights='imagenet')

def assess_image_risk(img_path):
    # Load and preprocess the image
    img = image.load_img(img_path, target_size=(299, 299))  # InceptionV3 requires 299x299 images
    img_array = image.img_to_array(img)
    img_array = np.expand_dims(img_array, axis=0)
    img_array = preprocess_input(img_array)

    # Get model predictions
    preds = model.predict(img_array)

    # Analyze the prediction results to determine risk
    # For simplicity, this part would need to be customized based on the dataset and further analysis.
    risk_score = np.random.rand()  # Placeholder: You would replace this with real analysis logic
    return risk_score

# Example usage
risk = assess_image_risk('path_to_image.jpg')
print(f"Risk of DeepNude manipulation: {risk:.2f}")

6. Ethical Considerations

• Data Privacy: Ensure that any images processed by your system are handled in compliance with privacy regulations, such as GDPR.
• Transparency: Clearly inform users what your AI is detecting and provide educational material about the risks associated with photo manipulation.
• Limiting Abuse: Build safeguards into your system to prevent misuse and ensure it is not used for unethical purposes.

7. Enhancing Detection

You can improve detection by:

• Using models specialized in deepfake detection.
• Leveraging face detection algorithms to focus only on parts of the image most likely to be manipulated.
• Training on synthetic images generated by tools like DeepNude AI to understand the manipulation patterns.

Future Improvements:

• Collaborating with research communities that work on detecting deepfake and AI-manipulated content.
• Including additional AI methods for detecting image tampering using GAN-generated features.

By building this system, you can help individuals assess the vulnerability of their images to AI manipulation and promote awareness about the misuse of AI for unethical purposes.