Text-to-Image Generation
Generates images from natural language text prompts, supporting photorealistic and artistic styles with control over composition and detail.
Stability
SDXL
SDXL (Stable Diffusion XL) is an open-source image generation model developed by Stability AI and released in July 2023. It accepts text prompts and optional image inputs to produce images, and supports workflows including text-to-image generation, image-to-image editing, and inpainting. The model is available in two configurations: SDXL 1.0, optimized for out-of-the-box use, and SDXL 1.0 Open, which allows fine-tuning with custom data and inference code. Both variants are deployable via AWS SageMaker and Amazon Bedrock. SDXL is designed for designers, creative professionals, and developers who need generative imagery at scale. Its open model variant supports customization through fine-tuning, making it usable for specialized image pipelines beyond general-purpose prompting. Inputs include image URLs, numeric parameters for dimensions, and a seed value for reproducible outputs. The model is tagged as open source and multi-modal, reflecting its support for both text and image inputs.
Unknown
10,000 context
N/A output
Text-to-Image Generation
Image-to-Image Editing
Inpainting
Seed-Based Reproducibility
Open Fine-Tuning
Dimension Control
Model Overview
High-signal model metadata in a structured two-column overview table.
Provider
The entity that provides this model.
Stability
Input Context Window
The number of tokens supported by the input context window.
10,000
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
N/A
tokens
Open Source
Whether the model's code is available for public use.
No
Release Date
When the model was first released.
Unknown
Knowledge Cut-off Date
When the model's knowledge was last updated.
Unknown
API Providers
The providers that offer this model. This is not an exhaustive list.
Amazon Bedrock
Modalities
Types of data this model can process.
Image
Text
Code
What is SDXL
A fuller summary of positioning, capabilities, and source-specific details for SDXL.
SDXL (Stable Diffusion XL) is an open-source image generation model developed by Stability AI and released in July 2023. It accepts text prompts and optional image inputs to produce images, and supports workflows including text-to-image generation, image-to-image editing, and inpainting. The model is available in two configurations: SDXL 1.0, optimized for out-of-the-box use, and SDXL 1.0 Open, which allows fine-tuning with custom data and inference code. Both variants are deployable via AWS SageMaker and Amazon Bedrock.
SDXL is designed for designers, creative professionals, and developers who need generative imagery at scale. Its open model variant supports customization through fine-tuning, making it usable for specialized image pipelines beyond general-purpose prompting. Inputs include image URLs, numeric parameters for dimensions, and a seed value for reproducible outputs. The model is tagged as open source and multi-modal, reflecting its support for both text and image inputs.
Capabilities
What SDXL supports
Image-to-Image Editing
Transforms or refines an existing image using a source image URL and text guidance as inputs.
Inpainting
Fills or replaces specific regions within an image based on text prompts, enabling targeted edits to existing visuals.
Seed-Based Reproducibility
Accepts a seed value as input so that identical prompts and settings produce consistent, reproducible image outputs.
Open Fine-Tuning
The SDXL 1.0 Open variant supports fine-tuning with custom datasets and custom inference code for specialized use cases.
Dimension Control
Accepts numeric width and height parameters as inputs, allowing explicit control over output image dimensions.
Pricing for SDXL
Primary API pricing shown in the same “quick compare” spirit as the reference page.
Input tokens
N/A
Per million tokens
Output tokens
N/A
Per million tokens
API Access & Providers
Places where this model is available, based on the synced detail-page metadata.
Amazon Bedrock
Configuration & Parameters
The configurable options currently documented for this model.
Width
NumberHeight
NumberSeed
SeedA specific value that is used to guide the 'randomness' of the generation.
Supported Request Parameters
Parameters currently listed by OpenRouter or the local catalog for this model.
Resources & Documentation
Official model cards, release notes, docs, and other references synced from the source page.
Community discussion
What people think about SDXL
SDXL discussions are most active in r/StableDiffusion, r/comfyui. Top Reddit threads cluster around benchmark and model-comparison threads, safety and censorship questions, coding workflow discussions.
The strongest match in this snapshot has 2909 upvotes and 313 comments.
When will this change? Yeah you might get an extra arm and have to regenerate a couple times. But you get what you ask for. I have high hopes for Flux Klein but progress is slow.
Objectively are the new models including nanobanana, qwen, flux2, zit any better to sdxl? I feel if you compare a good output of sdxl with the newer models its pretty much same and sdxl might be better in some cases. the only difference new models bring is prompt adherence etc. but then sdxl always had control net and faceID which kind of achieved similar if not better outcome ? so have we really progressed so much ?
FAQ
Common questions about SDXL
What is the context window for SDXL?
The metadata lists a context window of 10,000 tokens for SDXL, which governs the length of text prompt input the model can process.
Is SDXL open source?
Yes. SDXL is tagged as open source. The SDXL 1.0 Open variant specifically allows developers to fine-tune the model with custom data and run custom inference code.
What input types does SDXL accept?
SDXL accepts an image URL (for image-to-image or inpainting workflows), two numeric values (typically width and height), and a seed value for reproducible generation.
Where can SDXL be deployed?
According to the metadata, SDXL is available for deployment via AWS SageMaker and Amazon Bedrock, in addition to Stability AI's own platform API.
When was SDXL trained and released?
The model's training date is listed as July 2023, which aligns with Stability AI's public announcement of SDXL 1.0.
What are the two deployment configurations for SDXL?
SDXL is available as SDXL 1.0, optimized for speed and quality out of the box, and SDXL 1.0 Open, which provides full access for fine-tuning and extending the model for specialized use cases.
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