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dfberry merged 1 commit into from
Jul 8, 2026
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Fix meta information #73

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18 changes: 14 additions & 4 deletions website/blog/2026-07-07-surprises-self-hosting-image-model.md
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Original file line number Diff line number Diff line change
@@ -1,9 +1,20 @@
---
title: "Self-Hosting SDXL on Azure Container Apps: What the Vendor API Was Hiding"
date: 2026-07-07
slug: /2026-07-07-surprises-self-hosting-image-model
date: 2026-07-07
canonical_url: https://dfberry.github.io/blog/2026-07-07-surprises-self-hosting-image-model
custom_edit_url: null
sidebar_label: "2026.07.07 Self-hosting image model"
title: "Self-Hosting SDXL on Azure Container Apps: What the Vendor API Was Hiding"
description: "Self-hosting SDXL on Azure Container Apps means taking responsibility for the model runtime, storage lifecycle, readiness state, and deployment behavior."
tags: ["AI", "Azure", "Docker", "SDXL", "Azure Container Apps", "Cloud Deployment", "Architecture", "Lessons Learned"]
tags:
- ai
- azure
- docker
- sdxl
- azure container apps
- cloud deployment
- architecture
- lessons learned
keywords:
- self-hosting sdxl
- sdxl azure container apps
Expand All @@ -15,7 +26,6 @@ keywords:
- diffusers cpu optimization
- self-hosted image generation
- vendor api lock-in

---

This project started as hands-on image generation, not an abstract model experiment. I was working with SDXL (Stable Diffusion XL), an open text-to-image generation model, and the path felt natural: first run it locally on my own machine, then package the same work in a local container with Docker, then deploy that container to Azure Container Apps.
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