Stable Diffusion XL Models

About

SDXL, or Stable Diffusion XL, is an advanced model that offers increased visual fidelity and specialized refiner capabilities, allowing for the handling of high-quality, high-resolution data. The refiner model improves the visual fidelity of samples using a post hoc image-to-image diffusion technique, making the image generation process simpler and quicker.

Features

• Two Stage Architecture: SDXL features a two-stage architecture, including a base model with 3.5 billion parameters and a refiner model with 6.6 billion parameters.
• Ensemble of Experts: The base model empowers users to create a diverse range of photorealistic outputs, while the refiner model provides more control over the final output's visual fidelity, focusing on the final denoising step in image generation.

Limitations

• Hands, Feet, Faces, and Text: Sometimes miss the mark on hands, feet, faces, and text
• Prompt Understanding: Not as good as DALL·E 3 in following the prompt

Usage Tips

• Be Specific and Detailed: Include elements like setting, objects, colors, mood.
• Describe Mood and Atmosphere: Use words like "serene," "chaotic," "mystical."
• Use Descriptive Adjectives: For instance, "a fluffy, small, brown dog."
• Consider Perspective and Composition: Mention views like close-up, wide shot.