SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
by Stability AI · open-source · Last verified 2026-03-17
Presented SDXL, a significantly improved latent diffusion model architecture featuring a 3.5B parameter UNet backbone with a secondary refiner model, conditioning on image size and crop parameters, and a curated high-aesthetic dataset. SDXL substantially improves visual quality and prompt adherence over prior Stable Diffusion versions.
https://arxiv.org/abs/2307.01952 ↗B+
B+—Good
Adoption: A+Quality: A+Freshness: ACitations: B+Engagement: F
Specifications
- License
- OpenRAIL++
- Pricing
- open-source
- Capabilities
- text-to-image, image-to-image, inpainting, high-resolution-synthesis
- Integrations
- huggingface, stability-ai-api, comfyui
- Use Cases
- high-quality-image-generation, creative-design, commercial-art
- API Available
- Yes
- Tags
- sdxl, stable-diffusion, text-to-image, latent-diffusion, high-resolution
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
74.5Adoption
92
Quality
91
Freshness
83
Citations
78
Engagement
0
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