aiyouthalliance/Free-Image-Generation-CC0

Free Image Generation CC0

A text-to-image generation model based on the Stable Diffusion architecture with Creative Commons Zero (CC0) licensing.

Model Description

Free-Image-Generation-CC0 is a text-to-image model based on the Stable Diffusion architecture with 1.07 billion parameters. All images generated with this model are released under the Creative Commons Zero (CC0) license, making them freely usable for any purpose without attribution requirements.

Features

Text-to-image generation with a 1.07B parameter model
CC0 licensing for all generated content
Built on the Stable Diffusion architecture
Compatible with the Hugging Face Diffusers library

Installation

Prerequisites

Python 3.7 or higher
CUDA-compatible GPU (recommended)

Setup

Install the required dependencies:

pip install diffusers transformers torch

Usage Examples

Basic Usage

from diffusers import DiffusionPipeline
import torch

# Load model from Hugging Face
pipe = DiffusionPipeline.from_pretrained("aiyouthalliance/Free-Image-Generation-CC0")

# Move to GPU if available
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
pipe = pipe.to(device)

# Generate image
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

# Save the generated image
image.save("astronaut_jungle.png")

Memory-Optimized Usage

# Load in half precision for memory efficiency
pipe = DiffusionPipeline.from_pretrained(
    "aiyouthalliance/Free-Image-Generation-CC0", 
    torch_dtype=torch.float16
)
pipe = pipe.to(device)

Advanced Parameter Customization

# Customize generation parameters
image = pipe(
    prompt="A futuristic cityscape with flying cars, neon lights, detailed, 8k",
    num_inference_steps=50,
    guidance_scale=7.5,
    negative_prompt="blurry, low quality, distorted"
).images[0]

Model Structure

The model repository contains the following components:

vae: The variational autoencoder component
unet: The U-Net denoising component
text_encoder: The text encoder for processing prompts
tokenizer: For tokenizing the text inputs
scheduler: Controls the denoising process
safety_checker: For filtering content
feature_extractor: For image processing

Technical Specifications

Feature	Specification
Total Parameters	1.07 Billion
Base Architecture	Stable Diffusion
Output Resolution	512×512 pixels

Citation

If you use this model in academic or research projects, please cite:

@misc{aiyouthalliance2025freeimagegencc0,
  author = {AI Youth Alliance},
  title = {Free-Image-Generation-CC0},
  year = {2025},
  publisher = {Hugging Face},
  journal = {Hugging Face repository},
  howpublished = {\url{https://huggingface.co/aiyouthalliance/Free-Image-Generation-CC0}}
}

Contact & Support

For questions, feedback, or support regarding this model, please contact:

Hugging Face: aiyouthalliance