Anime Face Generator - DCGAN π¨β¨
This is a Deep Convolutional Generative Adversarial Network (DCGAN) trained to generate anime-style faces. The model learns patterns from real anime images and creates unique, high-quality anime faces from scratch.
πΌοΈ Sample Generated Image
π Model Details
- Architecture: Deep Convolutional GAN (DCGAN)
- Dataset: 10,000 anime images
- Framework: TensorFlow/Keras
- File Format:
.h5 - Trained On: GPU (Recommended for inference)
- Image Size: 64 x 64
π How to Use the Model
You can download and load the model in Python using TensorFlow/Keras:
from tensorflow.keras.models import load_model
# Load the model
model = load_model("anime-face-generator.h5")
# Generate new anime faces (example code)
import numpy as np
random_latent_vector = np.random.normal(size=(1, 100)) # Adjust size based on your latent space
generated_image = model.predict(random_latent_vector)
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