Make (Integromat) vs Stable Diffusion (Stability AI): Complete Comparison (2026)

Updated: March 12, 20268 min read

Choosing between Make (Integromat) and Stable Diffusion (Stability AI) is a common decision for ai & machine learning buyers in 2026. Make (Integromat) has been in the market since 2012, giving it a 8-year head start over Stable Diffusion (Stability AI) (founded 2020). Make (Integromat) serves 800K+ users while Stable Diffusion (Stability AI) has 10M+ users globally. Make (Integromat) differentiates with visual workflow builder and 1500+ app integrations, while Stable Diffusion (Stability AI) leads with text-to-image and image-to-image. In this head-to-head comparison, Make (Integromat) earns a higher hiltonsoftware.co score of 94/100 — but the right choice depends on your specific needs, budget, and team size.

⚙️
Make (Integromat)
AI & Machine Learning
94
hiltonsoftware.co Score
RECOMMENDED
VS
🌌
Stable Diffusion (Stability AI)
AI & Machine Learning
88
hiltonsoftware.co Score

Quick Comparison

Make (Integromat)
Stable Diffusion (Stability AI)
Starting Price
$9/mo
Free (self-hosted)
Free Plan
Yes
Yes
Users
800K+
10M+
Founded
2012
2020
Rating
4.7/5
4.4/5
Best For
Power users building complex, multi-step automatio...
Developers and researchers wanting open-source, se...

Feature-by-Feature Comparison

Make (Integromat)Stable Diffusion (Stability AI)
97Ease of Use88
96Features90
99Value for Money88
93Customer Support89
90Integrations88
91Scalability88
92Learning Curve91

Pros & Cons at a Glance

Make (Integromat)
+Very powerful and flexible automation
+Better than Zapier for complex flows
-Steeper learning curve than Zapier
-Operations-based pricing confuses users
Stable Diffusion (Stability AI)
+Fully open source and free
+Highly customizable with fine-tuning
-Requires GPU for quality results
-Output quality lags Midjourney
AI Verdict

After comparing Make (Integromat) and Stable Diffusion (Stability AI) across features, pricing, and user satisfaction, Make (Integromat) takes the lead with a score of 94/100 versus Stable Diffusion (Stability AI)'s 88/100. Make (Integromat)'s key advantages include "very powerful and flexible automation" and "better than zapier for complex flows". That said, Stable Diffusion (Stability AI) has its own strengths — particularly "fully open source and free" — making it a viable alternative for specific use cases.

Both Make (Integromat) and Stable Diffusion (Stability AI) offer free plans, lowering the barrier to entry. Make (Integromat)'s paid plans start at $9/mo while Stable Diffusion (Stability AI) begins at Free (self-hosted). Evaluate which paid features — AI tools, Error handling (Make (Integromat)) vs Inpainting, Fine-tuning (Stable Diffusion (Stability AI)) — justify upgrading for your team.

Bottom line: Choose Make (Integromat) if you need power users building complex, multi-step automations between apps. Go with Stable Diffusion (Stability AI) if your priority is developers and researchers wanting open-source, self-hosted ai image generation. Both are strong ai & machine learning tools — we recommend trying the free plan of each before committing.

CHOOSE MAKE (INTEGROMAT) IF:

Power users building complex, multi-step automations between apps.

CHOOSE STABLE DIFFUSION (STABILITY AI) IF:

Developers and researchers wanting open-source, self-hosted AI image generation.

Frequently Asked Questions

Is Make (Integromat) better than Stable Diffusion (Stability AI) in 2026?
Make (Integromat) scores 94/100 on hiltonsoftware.co compared to Stable Diffusion (Stability AI)'s 88/100. Make (Integromat) stands out for "very powerful and flexible automation" and is best for Power users building complex, multi-step automations between apps. Stable Diffusion (Stability AI) is known for "fully open source and free" and suits Developers and researchers wanting open-source, self-hosted AI image generation. Your specific workflow and team size should guide the decision.
What is the pricing difference between Make (Integromat) and Stable Diffusion (Stability AI)?
Both offer free plans. Make (Integromat) starts at $9/mo and Stable Diffusion (Stability AI) at Free (self-hosted). When comparing value, consider that Make (Integromat) (founded 2012, 800K+ users) includes features like Visual workflow builder, 1500+ app integrations, AI tools. Stable Diffusion (Stability AI) (founded 2020, 10M+ users) offers Text-to-image, Image-to-image, Inpainting. The right choice depends on which features matter most to your team.
What are the main differences between Make (Integromat) and Stable Diffusion (Stability AI)?
The key differences come down to focus and approach. Make (Integromat) excels at Visual workflow builder, 1500+ app integrations, AI tools, while Stable Diffusion (Stability AI) focuses on Text-to-image, Image-to-image, Inpainting. Make (Integromat)'s main advantage is "very powerful and flexible automation", though some users note "steeper learning curve than zapier". Stable Diffusion (Stability AI)'s strength is "fully open source and free", but "requires gpu for quality results" can be a drawback. Both serve the AI & Machine Learning market but target different user profiles.
Can I switch from Make (Integromat) to Stable Diffusion (Stability AI)?
Switching between Make (Integromat) and Stable Diffusion (Stability AI) is possible since both operate in the AI & Machine Learning space. Before migrating, export your data from Make (Integromat) and check Stable Diffusion (Stability AI)'s import capabilities. Key features to verify compatibility: Visual workflow builder, 1500+ app integrations, AI tools (Make (Integromat)) vs Text-to-image, Image-to-image, Inpainting (Stable Diffusion (Stability AI)). Consider running both tools in parallel during a trial period to ensure a smooth transition.
Which is better for small teams: Make (Integromat) or Stable Diffusion (Stability AI)?
Both tools offer free plans, so evaluate based on features. Make (Integromat) is ideal for Power users building complex, multi-step automations between apps, while Stable Diffusion (Stability AI) fits Developers and researchers wanting open-source, self-hosted AI image generation. Try both during their trial periods to see which fits your team's workflow.

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