Stable Diffusion XL Models by Stability AI
1 model2023
About
Stable Diffusion XL (SDXL) is Stability AI's large-scale image generation model released in July 2023, representing a significant upgrade from the 1.x series. SDXL uses a two-stage pipeline (base + refiner) with a larger UNet backbone and multiple text encoders, producing higher-resolution and more detailed images. It became a widely adopted foundation for fine-tuning and community model development.
Current Variants
Use-when guidance is derived from seed capabilities, context, release, and replacement fields.
1 in view
Stable Diffusion XLCurrent
Use when the workload needs image, 3K parameters, and multimodal inputs.
2023-07image3K parametersmultimodal inputs
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Stable Diffusion XL | Use when the workload needs image, 3K parameters, and multimodal inputs. | 2023-07 | image3K parametersmultimodal inputs | Current |
Release Timeline
1 release group2023-07
1 current
Stable Diffusion XL
Currentimage3K parametersmultimodal inputs
Specifications(1 models)
| Model | Released | Parameters | Multimodal |
|---|---|---|---|
| Stable Diffusion XL | 2023-07 | 3K | Yes |
Available From(1 provider)
Frequently Asked Questions
- What is Stable Diffusion XL used for?
- Stable Diffusion XL is used for image, vision and multimodal work, and coding. The family description and listed model capabilities point to those workloads as the best fit.
- How does Stable Diffusion XL compare to Stable Virtual Assistant?
- Stable Diffusion XL by Stability AI is strongest where you need image, while Stable Virtual Assistant by Stability AI is the closest related family to check for adjacent model selection. Stable Diffusion XL has 1 listed variant, so compare the specs and pricing tables before choosing a production model.
- Which Stable Diffusion XL model should I use?
- If price is the main constraint, use the pricing table first because Stable Diffusion XL does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate Stable Diffusion XL with multimodal inputs.
