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Migrate from Stability AI to Dedicated GPU: Savings Calculator

Calculate how much you can save by migrating from Stability AI to a dedicated GPU server. Cost comparison, migration steps, and projected annual savings.

Migrate from Stability AI to Dedicated GPU: Savings Calculator

How much can you save by moving from Stability AI (Stable Diffusion API) to a dedicated GPU server?

Projected Savings

Stability AI charges per image through their API — ironic, given that Stable Diffusion itself is open source and runs freely on any capable GPU. At a typical £350/month spend:

  • £261/month (75% reduction)
  • £3,132/year in total savings

Savings by Current Stability AI Spend

Current Stability AI SpendGigaGPU RTX 3090 CostMonthly SavingsAnnual Savings
£100/mo£89/mo£11/mo£132/yr
£250/mo£89/mo£161/mo£1,932/yr
£500/mo£89/mo£411/mo£4,932/yr
£1000/mo£89/mo£911/mo£10,932/yr
£2500/mo£89/mo£2411/mo£28,932/yr
£5000/mo£89/mo£4911/mo£58,932/yr

GigaGPU pricing is fixed monthly. No per-token, per-image, or per-request fees.

Why Pay Per Image for an Open-Source Model?

Stability AI charges per image generation for API access to models that are freely available. Self-hosted SDXL or FLUX.1 on a dedicated GPU gives you unlimited generations for a fixed monthly fee. You also gain access to LoRA fine-tuning, ControlNet, and the full ecosystem of community extensions that API access restricts.

Unlimited Image Generation on Your Hardware

  • Dedicated hardware: A full RTX 3090 server exclusively for your workloads. No sharing, no noisy neighbours.
  • Recommended alternative: SDXL / FLUX.1 delivers comparable quality to Stable Diffusion API for most production use cases.
  • Fixed pricing: £89/month regardless of how many tokens, images, or requests you process.
  • Full control: LoRA training, ControlNet, custom pipelines, img2img workflows — the full ComfyUI or Automatic1111 ecosystem.
  • Data sovereignty: Your prompts and generated images stay on your server. No content filtering surprises.

Migration Is Straightforward

  1. Audit current usage: Review your Stability AI usage — note image dimensions, model versions, and daily generation volumes.
  2. Select your GPU server: Based on your throughput needs, choose from GigaGPU dedicated plans starting at £89/month.
  3. Deploy your model: GigaGPU servers come with CUDA, Docker, and inference frameworks pre-installed. Deploy SDXL / FLUX.1 in under 15 minutes.
  4. Replicate your pipeline: Set up ComfyUI or A1111 with your existing workflows, LoRAs, and generation settings.
  5. Run parallel testing: Compare output quality between Stability AI API and self-hosted for your specific use cases.
  6. Cut over: Once validated, switch fully to your dedicated server and cancel your Stability AI subscription.

Full Model Access

Since Stability AI’s API serves the same open-source models you can self-host, image quality is identical. The only difference is throughput, which depends on your GPU hardware. An RTX 3090 generates SDXL images in 3-5 seconds, matching or exceeding API response times.

Generate Unlimited Images for £89/Month

Stop paying per-image for open-source models. Get a dedicated RTX 3090 server and generate without limits.

View Dedicated GPU Plans   Calculate Exact Savings

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