Our take on Stable Diffusion
Stable Diffusion is an open-source text-to-image model with full commercial rights under $1M revenue.
Good for
- Teams needing full control over image generation pipeline
- Users requiring commercial rights without per-image fees under $1M revenue
- Those wanting to run models locally on consumer GPUs
Consider first
- Users without ML/hardware expertise who need hosted convenience
- Cases prioritizing maximum photorealism above all else
- Low-volume generation where API overhead exceeds GPU costs
Strengths
- Open weights with genuinely free commercial license for most users
- Largest LoRA/fine-tune ecosystem via Civitai integration
- Three model sizes fit from RTX 3060 to A100 hardware
- Prompt adherence superior to older SDXL generation
Trade-offs
- Self-hosting requires real GPU infrastructure cost
- Photorealism lags behind closed API models
- Learning curve for local deployment and prompt engineering
- API pricing pay-as-you-go with no subscription tiers
Details
Frequently asked questions
What does Stable Diffusion do?
Stable Diffusion is an open-source text-to-image model family with SDXL and SD3 for photorealistic output. Free self-hosted or $20/month. Best for creators.
Is Stable Diffusion free?
Yes, Stable Diffusion offers a free tier.
What category is Stable Diffusion?
Stable Diffusion is an AI tool in the Image category.
Is Stable Diffusion free for commercial use?
Yes, under the Community License for organizations with <$1M annual revenue. Above $1M, Enterprise License required.
What is the API cost?
API pricing is pay-as-you-go at $10 per 1,000 credits. SD 3.5 Large costs ~6.5 credits/image ($0.065), Turbo 4 credits ($0.04), Medium 3.5 credits ($0.035).
Can I run it locally?
Yes. SD 3.5 Medium runs on 12GB GPUs, Large needs 24GB+ or quantized 16GB. Weights are free from Hugging Face.
How does it compare to closed models?
Open weights and license are the key advantages. Photorealism trails FLUX 1.1 Pro; aesthetic output trails Midjourney v6 without prompt engineering.