Stable Diffusion XL

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Stable Diffusion XL (SDXL) 1.0 is Stability AI's latent diffusion text-to-image model for native 1024x1024 generation.

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Provider

Stability AI

Model family

Stable Diffusion

Diffusion image model

Cost tier

Status

Current

Release Jul 26, 2023

Why teams choose it

🧠

The base checkpoint can run standalone; add the refiner only when its measured quality g…

ain justifies the extra inference work.

📎

Safety filters, watermarking, and abuse controls are deployment responsibilities for self-hosted workflows.

⚙️

Pin the exact checkpoint, scheduler, inference steps, resolution, and hardware when comparing latency or cost.

Tradeoffs to know

The official model card notes imperfect photorealism, unreliable legible text, compositional errors, and possible face-generation failures.
The base-and-refiner workflow adds inference work compared with running the base checkpoint alone.
Track CreativeML Open RAIL++-M license obligations and complete a deployment-specific safety review.

When not to use this

Self-hosting outcomes depend on hardware, quantization, and ops maturity—budget time beyond swapping an API hostname.
May demand more instrumentation than SaaS-managed APIs to duplicate latency, failover, and support guarantees.
Benchmark prompts and regressions continuously before rewriting entire routing tables around weights.

Technical specs

Inputs: text, image
Outputs: image
Capabilities: text-to-image, img2img, base-and-refiner workflow
License: CreativeML Open RAIL++-M
Model string: stable-diffusion-xl

Benchmarks

No benchmark data yet.

See comparisons →

What is Stable Diffusion XL?

Stable Diffusion XL (SDXL) 1.0 is an open-weight latent diffusion model for text-to-image generation. Stability AI published a base checkpoint that can run on its own and an optional refiner checkpoint for the final denoising steps. The architecture increases the UNet size relative to earlier Stable Diffusion releases, uses a second text encoder, and adds size and crop conditioning.

Stable Diffusion XL 1.0 specifications

Reference details for the published SDXL 1.0 base checkpoint. Verify the exact checkpoint and inference pipeline before production benchmarking.

Specification	Value
Release date	July 26, 2023
Native image size	1024 x 1024
Workflow	Run the base checkpoint standalone or use the optional refiner for the final denoising steps.
Architecture	Latent diffusion with a larger UNet than earlier Stable Diffusion releases, a second text encoder, and size and crop conditioning.
Published weights	SDXL 1.0 base and refiner checkpoints are published by Stability AI on Hugging Face.
License	CreativeML Open RAIL++-M

Stable Diffusion XL vs Stable Diffusion 1.5

Dimension	SDXL 1.0	Stable Diffusion 1.5
Native image size	1024 x 1024	512 x 512
Architecture	Larger UNet, second text encoder, and additional size and crop conditioning.	Earlier latent diffusion architecture with one text encoder.
Inference workflow	Base checkpoint can run standalone or pass latents to an optional refiner.	Single-checkpoint text-to-image workflow in the published v1.5 model card.
Migration consideration	Budget for native 1024 workflows and benchmark the optional refiner separately.	Keep when existing 512 pipelines, extensions, or hardware targets are the stronger operational fit.
Decision rule	Start here when evaluating SDXL-family image generation.	Retain when the existing SD 1.5 pipeline wins on measured cost, latency, extension compatibility, or output requirements.

Benchmark the exact workflow you plan to deploy. Compare base-only SDXL, base-plus-refiner SDXL, and the current SD 1.5 pipeline on the same prompts, resolutions, safety controls, and hardware before migrating.

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