Sahin Boydas
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Nobody Talks About Stable Diffusion XL for Creators

What creators should know about Stable Diffusion XL beyond the hype: what the open image model does well, where it falls short, and how to start.

2024-10-178 min read536 words

As a VC and serial founder, I see what's really happening with Stable Diffusion XL behind the scenes. This is the insider perspective for for creators that you won't find on any news site.

The Reality Nobody Talks About

A lot of the advice on Stable Diffusion XL rests on assumptions that made sense five years ago. The world has moved on.

The first thing to understand is that the data tells a different story than your gut. I've seen this play out across dozens of companies. The pattern is unmistakable.

Many teams spend months on the wrong path before realizing that your team matters more than your technology. Once they make the switch, everything changes.

What I've Learned From 98 Companies

A few patterns in Stable Diffusion XL come up again and again.

The founders who handle Stable Diffusion XL well understand that the market doesn't care about your roadmap.

The Counterintuitive Truth

In Stable Diffusion XL, the best practitioners often do less, not more.

The lesson: you should focus on one thing and do it exceptionally well. It sounds simple. It's incredibly hard to execute.

The AI Angle

Any discussion of Stable Diffusion XL in 2026 has to include AI. As someone who's invested in Anthropic, OpenAI, Scale AI, and Hugging Face, I have a front-row seat to how AI is transforming this space.

The short version: AI makes good practitioners better and bad practitioners worse. It's an amplifier, not a replacement.

Some teams use AI to get far more out of Stable Diffusion XL. Others spend heavily on AI that solves the wrong problem. The difference comes down to understanding what you're actually trying to achieve.

This connects to broader themes around AI design tools, AI video, Midjourney, Stable Diffusion that I've been thinking about a lot lately.

Wrapping Up

I've shared a lot here, and I know it can feel overwhelming. But you don't need to get Stable Diffusion XL right on day one. You just need to get started and keep improving.

Founders who do well at Stable Diffusion XL tend to share one trait: they're relentlessly practical. They don't chase perfection. They chase progress.

That's the mindset I'd encourage you to adopt. Start where you are. Use what you have. Do what you can. And keep pushing forward.

As always, I'm rooting for you.

FAQ

Frequently Asked Questions

Q:What experience informs this perspective?

This perspective comes from over a decade of building companies in Silicon Valley, two successful exits (RemoteTeam to Gusto, MovieLaLa to Gfycat), and investing in 234 startups including Anthropic, OpenAI, and Scale AI. I write about what I've lived.

Q:How can I apply this thinking to my own situation?

Start by identifying the core principle behind the opinion, not the specific example. Then ask yourself: does this principle apply to my context? If yes, test it in a small, low-risk way before going all in.

Q:What's the most common pushback you get on this?

People often push back by citing exceptions or edge cases. And they're usually right that exceptions exist. But building a strategy around exceptions rather than patterns is a losing game for most founders.

Written by

Sahin Boydas

Serial entrepreneur, #1 angel investor, author of Becoming Top 1%

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