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Pricing overview
FLUX
Fast and efficient model for quick iterations. Ideal for rapid prototyping and testing concepts.
512×512
SD 1.5
The reliable standard for consistent image generation. Great balance of quality and performance.
SDXL
Enhanced detail and composition for professional quality outputs. Superior artistic capabilities.
SD3
Next-generation model with advanced understanding and improved coherence. Best for complex scenes.
Cost estimations
Cost estimations reflect typical usage patterns and common workflows. You can check real-time pricing in API responses, inside the Playground tool, and in the Usage section in the dashboard.
FLUX Schnell
Ultra-fast model optimized for rapid prototyping and real-time applications. Perfect for quick iterations and immediate feedback.
- Recommended Size: 512x512
- Recommended steps: 4
FLUX Dev
Development-focused model with advanced features for professional image generation. Ideal for high-quality production outputs.
- Recommended Size: 1024x1024
- Recommended steps: 30
SD 3
Stable Diffusion 3 offers enhanced understanding of complex scenes and superior image quality. Best for detailed, photorealistic outputs.
- Recommended Size: 1024x1024
- Recommended steps: 30
SDXL
Stable Diffusion XL excels in creating high-fidelity images with enhanced composition and detail. Optimized for larger resolutions and complex scenes, it's ideal for professional creative work and commercial applications.
- Recommended Size: 1024x1024
- Recommended steps: 30
SD 1.5
Stable Diffusion 1.5 is the reliable foundation of image generation, offering a perfect balance between quality and performance. Well-suited for artistic projects and rapid prototyping, it delivers consistent results across a wide range of creative applications.
- Recommended Size: 512x512
- Recommended steps: 30
Generate ~1000 images on us!
FAQ
Can I use my specific model version?
Yes, for any model in the Stable Diffusion ecosystem. However, it’d be useful to know the exact model version and to double-check with tech team if it’s supported out-of-the-box as there are many versions in the market.
Additionally, for ControlNets - it’s important to clarify the specific ControlNets you want to use. We support the most popular out-of-the-box (e.g. canny, depth, posing) and we can quickly add support for others - but it’s helpful to verify with us.
Is there any reduction in quality that happens when we accelerate performance?
No, quality is completely unaffected.
How do we obtain our performance improvements?
Through a combination of hardware and software optimizations. Part of it is the fact that we run our custom made hardware infrastructure, with our own design of GPU board. But we also accelerate specific parts of Stable Diffusion.
All these optimizations however are compatible with any SD version - there are no limitations to models or quality from our performance gains.
Will my images look like they do now with another provider?
We should be able to achieve the same result because we can configure the setup in the same way - due to the high configuration flexibility we have. However, it’s important to know the precise parameters to achieve the same result. We can also test and iterate over the process, during integration - to ensure the results match as closely as possible.
Is it possible to generate images in any resolution?
Yes. We have pre-defined resolutions but we can add any resolution to suit your needs.
How is the pricing calculated?
Per image - proportional to the generation time compared to the reference image. There are thousands of models and potential configurations so we don’t have a fixed priced list for any possible configuration. But the principle is that if the image takes 2x longer to generate than the reference image, it will cost 2x more. With the fastest inference times in the market, we pass these cost savings directly on to you.
What’s the maximum number of images you can process per day?
We can handle pretty much any scale and currently support customers generating tens of millions of images per day with dedicated capacity. Get in touch to learn more.
Is NSFW content supported? If so, are there ways to filter it in/out?
We do not restrict NSFW generation - therefore this depends on the model you select and how it was trained. We allow the running of any SD model, however we do provide a NSFW detection filter - which adds a flag to the image if NSFW is detected. This is the standard filter created by Stability. It can have both false positives and false negatives - but it is currently the industry standard. Generally, we do not limit content generation in any way. But we of course expect that all content generated will be in legal guidelines.