SDXS - A 1B model that punches high. Model on Hugging Face.
The article discusses SDXS, a 1 billion parameter Stable Diffusion model available on Hugging Face. It provides details on the model's architecture and performance.
Why it matters
SDXS represents a significant advancement in Stable Diffusion technology, offering improved performance and capabilities that could benefit various AI-powered applications.
Key Points
- 1SDXS is a 1 billion parameter Stable Diffusion model
- 2The model includes a 1.5 billion parameter U-Net and 1.8 billion parameter Qwen3.5 component
- 3The VAE (Variational Autoencoder) has 32 channels and 8x16 resolution
- 4The model can generate images at a sampling speed of 29.98 images per second
Details
SDXS is a large-scale Stable Diffusion model with over 1 billion parameters. It consists of a 1.5 billion parameter U-Net and a 1.8 billion parameter Qwen3.5 component. The model also includes a VAE (Variational Autoencoder) with 32 channels and 8x16 resolution. According to the post, the model can generate images at a sampling speed of 29.98 images per second, indicating its high performance. This powerful model is now available on the Hugging Face platform for researchers and developers to explore.
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