Software · head to head
Make vs Stable Diffusion
The short version
- Each has a real cost: Make free tier limited to 1,000 credits per month; Stable Diffusion generated images have lower resolution and quality at non-standard dimensions
- They diverge on capability: Make covers Visual workflow builder, Stable Diffusion covers Text-to-image.
Where they differ
Only the attributes on which Make and Stable Diffusion actually diverge.
| Attribute | Make | Stable Diffusion |
|---|---|---|
| Pricing model | freemium | Unknown |
| Platforms | Web | Web, Local (GPU-based), Cloud APIs |
| Founded | 2013 | 2019 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Make
- Visual workflow builder
- Webhooks
- API connectors
- Conditional logic
- Data transformation
- Error handling
- Scheduling
- Team collaboration
Only in Stable Diffusion
- Text-to-image
- Image-to-image
- Inpainting
- LoRA support
- ComfyUI
- Automatic1111
- Multiple UIs
- Local support
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Make
- Automating integrations between 3,000+ pre-built applicationsnot Stable Diffusion
- Building AI agents and workflow automation without extensive codingnot Stable Diffusion
- Enterprise automation with GDPR, SOC 2 Type II compliancenot Stable Diffusion
- Rapid deployment of automations from concept to livenot Stable Diffusion
Stable Diffusion
- ai tools managementnot Make
- Workflow automationnot Make
- Reportingnot Make
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Make
- Free tier limited to 1,000 credits per month
- Free tier restricted to 2 active scenarios maximum
- Free tier enforces 15-minute minimum scheduling interval
- Credit-based model means costs scale with usage volume, not just features
Stable Diffusion
- Generated images have lower resolution and quality at non-standard dimensions
- Struggles with complex multi-object prompts and text generation
- Poor rendering of human hands, limbs, and faces due to training data limitations
- Trained primarily on English-language descriptions, reinforcing Western cultural bias
- Requires significant GPU computational resources for local deployment
Pricing, plan by plan
Make
FreeNo published plan breakdown. See the Make review.
Stable Diffusion
FreeNo published plan breakdown. See the Stable Diffusion review.
Which should you pick?
Choose Make if
- You need visual workflow builder.
- You want to start without paying.
- You also want webhooks.
Choose Stable Diffusion if
- You need text-to-image.
- You want to start without paying.
- You work on Web, Local (GPU-based), Cloud APIs.
- You also want image-to-image.
Questions people ask
- Is Make or Stable Diffusion better?
- Neither clearly leads. Make starts at Free and Stable Diffusion at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Make or Stable Diffusion?
- Make starts at Free and Stable Diffusion at Free.
- Does Make or Stable Diffusion run on more platforms?
- Make runs on Web. Stable Diffusion runs on Web, Local (GPU-based), Cloud APIs.
- Can I use Make for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Make best used for?
- Make is most often used for automating integrations between 3,000+ pre-built applications, building ai agents and workflow automation without extensive coding, enterprise automation with gdpr, soc 2 type ii compliance, rapid deployment of automations from concept to live. Of those, automating integrations between 3,000+ pre-built applications and building ai agents and workflow automation without extensive coding are not what Stable Diffusion is typically brought in for.
- What can Make do that Stable Diffusion cannot?
- Make covers Visual workflow builder, Webhooks, API connectors, Conditional logic. Stable Diffusion covers Text-to-image, Image-to-image, Inpainting, LoRA support. Both handle Web support.
Answered from the vendors’ own pages
Stable Diffusion: Is Stable Diffusion truly free and open-source?
Yes. Stable Diffusion is released under the CreativeML Open RAIL-M license, allowing free use for both commercial and non-commercial purposes, and the code is open-source on GitHub.
SourceStable Diffusion: Can I use Stable Diffusion commercially for free?
Yes, if your organization has less than $1M annual revenue. Organizations exceeding $1M annually must obtain an Enterprise License from Stability AI.
SourceStable Diffusion: What are Stable Diffusion's image resolution limitations?
The base model was trained on 512x512 pixel images, and image quality degrades noticeably when deviating from this resolution. Newer models like SDXL support higher resolutions.
SourceStable Diffusion: Can I run Stable Diffusion locally on my computer?
Yes. Stable Diffusion is open-source and can run locally on compatible hardware, though it requires a GPU for reasonable performance.
SourceRelated pages
More on Stable Diffusion
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