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Heroku vs Stable Diffusion

Heroku logo

Heroku

Software

Cloud Application Platform

From
$7/month
Rated
-
Stable Diffusion logo

Stable Diffusion

Software

Open-source AI image generation

From
Free
Rated
-

The short version

  • Only Stable Diffusion has a free tier, so it costs nothing to try first.
  • Each has a real cost: Heroku there is no free dyno tier; the cheapest Eco dyno is $5 per month; Stable Diffusion generated images have lower resolution and quality at non-standard dimensions
  • They diverge on capability: Heroku covers Git-based deployment, Stable Diffusion covers Text-to-image.

Where they differ

Only the attributes on which Heroku and Stable Diffusion actually diverge.

Attributes where Heroku and Stable Diffusion differ
AttributeHerokuStable Diffusion
Starting price$7/monthFree
Pricing modelsubscriptionUnknown
Free tierNoYes
PlatformsWeb, Api, WorkersWeb, Local (GPU-based), Cloud APIs
Founded20072019

Identical on both: 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 Heroku

  • Git-based deployment
  • Buildpacks
  • Dynos (containers)
  • Add-ons marketplace
  • Postgres database
  • Environment variables
  • Logging
  • API

Only in Stable Diffusion

  • Text-to-image
  • Image-to-image
  • Inpainting
  • LoRA support
  • ComfyUI
  • Automatic1111
  • Multiple UIs
  • Local support

Both cover

  • Web support
  • Api support

What people use each for

The jobs each tool is most often brought in to do.

Heroku

  • Deploying and scaling web applications with git push and no server administrationnot Stable Diffusion
  • Running managed Postgres, Redis and Kafka as attached data servicesnot Stable Diffusion
  • Isolated production environments in a Private Space for regulated workloadsnot Stable Diffusion

Stable Diffusion

  • ai tools managementnot Heroku
  • Workflow automationnot Heroku
  • Reportingnot Heroku

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Heroku

  • There is no free dyno tier; the cheapest Eco dyno is $5 per month
  • Eco dynos sleep after 30 minutes of inactivity, are restricted to personal accounts and allow only 2 process types
  • Free SSL and 10 process types start at the Basic dyno at $7 per month
  • Private and Shield dyno types require a Private Space, which is billed on top of the dynos
  • Private Space dynos start at $250 per month for Private-M and $500 per month for Private-L
  • Dyno prices are per dyno per month, so an app with several process types multiplies the bill

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

Heroku

$7/month
  • Hobby$7/month
    • 512MB RAM
    • Shared CPU
    • 1 web dyno
  • Standard$50/month
    • 512MB RAM
    • Dedicated CPU
    • Automatic scaling

Stable Diffusion

Free

No published plan breakdown. See the Stable Diffusion review.

Which should you pick?

Choose Heroku if

  • You need git-based deployment.
  • You work on Web, Api, Workers.
  • You also want buildpacks.

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 Heroku or Stable Diffusion better?
Neither clearly leads. Heroku starts at $7/month and Stable Diffusion at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Heroku or Stable Diffusion?
Stable Diffusion has a free tier; the other does not. Paid plans start at $7/month for Heroku and Free for Stable Diffusion.
Does Heroku or Stable Diffusion run on more platforms?
Heroku runs on Web, Api, Workers. Stable Diffusion runs on Web, Local (GPU-based), Cloud APIs.
Can I use Stable Diffusion for free?
Yes. Stable Diffusion has a free tier, so you can try it without paying. Heroku starts at $7/month.
What is Heroku best used for?
Heroku is most often used for deploying and scaling web applications with git push and no server administration, running managed postgres, redis and kafka as attached data services, isolated production environments in a private space for regulated workloads. Of those, deploying and scaling web applications with git push and no server administration and running managed postgres, redis and kafka as attached data services are not what Stable Diffusion is typically brought in for.
What can Heroku do that Stable Diffusion cannot?
Heroku covers Git-based deployment, Buildpacks, Dynos (containers), Add-ons marketplace. Stable Diffusion covers Text-to-image, Image-to-image, Inpainting, LoRA support. Both handle Web support, Api 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.

Source
Stable 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.

Source
Stable 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.

Source
Stable 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.

Source
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