Software · head to head
Stable Diffusion vs Together AI
The short version
- Each has a real cost: Stable Diffusion generated images have lower resolution and quality at non-standard dimensions; Together AI fine tuning carries a minimum charge of $4.00 per job regardless of dataset size
- They diverge on capability: Stable Diffusion covers Text-to-image, Together AI covers Open-source models.
Where they differ
Only the attributes on which Stable Diffusion and Together AI actually diverge.
| Attribute | Stable Diffusion | Together AI |
|---|---|---|
| Pricing model | Unknown | usage-based |
| Platforms | Web, Local (GPU-based), Cloud APIs | Api, Cloud |
| Founded | 2019 | 2022 |
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 Stable Diffusion
- Text-to-image
- Image-to-image
- Inpainting
- LoRA support
- ComfyUI
- Automatic1111
- Multiple UIs
- Local support
Only in Together AI
- Open-source models
- Fine-tuning
- Fast inference
- Embeddings
- REST API
- Python SDK
- OpenAI compatible
- Cloud support
Both cover
- Api support
What people use each for
The jobs each tool is most often brought in to do.
Stable Diffusion
- ai tools managementnot Together AI
- Workflow automationnot Together AI
- Reportingnot Together AI
Together AI
- Serverless inference against open source chat, vision, embedding, image and video modelsnot Stable Diffusion
- Renting dedicated single tenant H100, H200 or B200 GPU clusters by the hournot Stable Diffusion
- Fine tuning open weight models on a per token basisnot Stable Diffusion
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
Together AI
- Fine tuning carries a minimum charge of $4.00 per job regardless of dataset size
- Reserved GPU commitments beyond 180 days are priced by contacting sales with no published rate
- Volume and enterprise discounts are quote only with no published threshold
- Reserved dedicated inference pricing is contact sales while only on demand rates of $5.49 to $8.99 per GPU hour are published
Pricing, plan by plan
Stable Diffusion
FreeNo published plan breakdown. See the Stable Diffusion review.
Together AI
Free- FreeFree
- $5 credits
- API access
- Pay-per-use$0.2/per-million-tokens
- All models
- Fine-tuning
Which should you pick?
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.
Choose Together AI if
- You need open-source models.
- You want to start without paying.
- You work on Api, Cloud.
- You also want fine-tuning.
Questions people ask
- Is Stable Diffusion or Together AI better?
- Neither clearly leads. Stable Diffusion starts at Free and Together AI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Stable Diffusion or Together AI?
- Stable Diffusion starts at Free and Together AI at Free.
- Does Stable Diffusion or Together AI run on more platforms?
- Stable Diffusion runs on Web, Local (GPU-based), Cloud APIs. Together AI runs on Api, Cloud.
- Can I use Stable Diffusion for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Stable Diffusion best used for?
- Stable Diffusion is most often used for ai tools management, workflow automation, reporting. Of those, ai tools management and workflow automation are not what Together AI is typically brought in for.
- What can Stable Diffusion do that Together AI cannot?
- Stable Diffusion covers Text-to-image, Image-to-image, Inpainting, LoRA support. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings. Both handle 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.
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
More on Together AI
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