Stable Diffusion
Text-to-image model running on consumer GPUs for speed and quality.
- Status
- Not yet determined
- Last checked
- Unverified
- License
- Open source
- Pricing
- Free tier · from $0
What it is
Stability.Ai's text-to-image model that offers breakthroughs in both speed and image quality, capable of running efficiently on consumer-grade GPUs. Ideal for developers and designers looking to generate high-quality images from textual descriptions quickly.
Stable Diffusion stands out for its balance between high-quality output and accessibility, allowing it to run efficiently on consumer-grade hardware while maintaining state-of-the-art performance in text-to-image synthesis.
When it fits — and when it doesn’t
A good fit for
Design teams needing to rapidly prototype visuals from text descriptions.
Independent developers looking for a high-quality, GPU-friendly image generation model.
Educational projects aiming to demonstrate the capabilities of AI in image synthesis.
Look elsewhere if
Teams requiring real-time image generation without significant latency.
Projects with strict hardware limitations that cannot support consumer-grade GPUs.
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Limited documentation for advanced use cases
Official documentation lacks examples and explanations for complex configurations
- 02
Performance can degrade on lower-end GPUs
Models may require significant VRAM, leading to slower generation times or out-of-memory errors on less powerful hardware
What it does well
Runs on consumer GPUs for accessibility and efficiency.
High-quality image generation from text descriptions.
Open-source with a permissive license.
Pricing
- Free tier
- YesOpen source — free to use
- Paid from
- $0
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up Stable Diffusion
Setup steps, common gotchas and what to check after 30 days.