SDXL
Model ● Covered in 4 stories + Follow
SDXL is a 3.5 billion-parameter text-to-image generation model developed by Stability AI that has become a widely-used baseline for image synthesis tasks. Recent work has focused on optimizing SDXL's inference speed and memory efficiency through techniques such as Latent Consistency LoRAs (which reduce generation steps from 25-50 to 4-8), precision reduction, and compiled attention mechanisms, enabling faster image generation on consumer hardware and real-time applications. The model is actively used in community applications and is available through services like Hugging Face's Inference API.
Updated 8 August 2026
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Latest developments
2024
2023
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Products & technology
- AI Comic Factory integrated with this model · 1 source
- Stability AI develops this model · 1 source
- Latent Consistency LoRAs derived from this model · 1 source