Deploy Stable Diffusion
ImageStable Diffusion by Stability AI is the most widely adopted image generation family with the largest ecosystem of fine-tunes and LoRAs. SDXL generates 1024x1024 images, while SD 3.5 offers improved text rendering.
Deploy Stable Diffusion in minutes
Starting at $0.53/hr on dedicated GPU
Available Variants (5)
| Model | GPU | VRAM | Price | Action |
|---|---|---|---|---|
Stable Diffusion XL XL | L4 | 24 GB | $0.53/hr | Deploy |
Stable Diffusion 3.5 Large Large | RTX A6000 | 48 GB | $0.66/hr | Deploy |
Stable Diffusion 3.5 Medium Medium | L4 | 24 GB | $0.53/hr | Deploy |
Stable Diffusion 3.5 Turbo Turbo | L4 | 24 GB | $0.53/hr | Deploy |
Stable Diffusion 1.5 1.5 (Legacy) | L4 | 24 GB | $0.53/hr | Deploy |
Prices include the service fee. Charges follow actual running time.
Requirements
ModelPilot assigns 24–48GB cloud GPUs across the listed variants. Actual local VRAM requirements vary with model variant, precision, quantization, resolution, and workflow settings.
On ModelPilot, deploy on a dedicated cloud GPU (up to 80GB VRAM) starting at $0.53/hr with no setup required.
Compare Stable Diffusion
Source-backed GPU, VRAM, and cost comparisons for nearby deployment choices.
FLUX.2 Dev Full (64GB) vs Stable Diffusion XL
Compare Stable Diffusion XL against FLUX.2 Dev Full (64GB) by GPU tier, VRAM, and base hourly cost.
FLUX.2 Dev Full (64GB) vs Stable Diffusion 3.5 Large
Compare Stable Diffusion 3.5 Large against FLUX.2 Dev Full (64GB) by GPU tier, VRAM, and base hourly cost.
FLUX.2 Dev Full (64GB) vs Stable Diffusion 3.5 Medium
Compare Stable Diffusion 3.5 Medium against FLUX.2 Dev Full (64GB) by GPU tier, VRAM, and base hourly cost.
FLUX.2 Dev Full (64GB) vs Stable Diffusion 3.5 Turbo
Compare Stable Diffusion 3.5 Turbo against FLUX.2 Dev Full (64GB) by GPU tier, VRAM, and base hourly cost.
FLUX.2 Dev Full (64GB) vs Stable Diffusion 1.5 (Legacy)
Compare Stable Diffusion 1.5 (Legacy) against FLUX.2 Dev Full (64GB) by GPU tier, VRAM, and base hourly cost.
Stable Diffusion 3.5 Medium vs Stable Diffusion 3.5 Turbo
Compare Stable Diffusion 3.5 Medium and Stable Diffusion 3.5 Turbo variants by GPU tier, VRAM, and base hourly cost.
Use Cases
- ✓LoRA and fine-tune deployment
- ✓Custom model training base
- ✓Established workflow integration
- ✓Community model ecosystem
Related Models
Frequently Asked Questions
How much GPU memory is allocated for Stable Diffusion?
The listed ModelPilot variants use 24–48GB cloud GPUs. Local memory needs vary with the variant, precision, quantization, and workflow settings.
How much does it cost to run Stable Diffusion?
Starting at $0.53/hr on a dedicated GPU. Charges are calculated from actual running time, with auto-stop when credits run out.
How long does Stable Diffusion take to deploy?
Most deployments complete in 10–20 minutes including model download and environment setup.
Can I run Stable Diffusion on my local GPU?
It depends on the selected variant, precision, quantization, and workflow settings. Compare the variants below with your available VRAM; the table shows ModelPilot's cloud GPU allocation, not a universal local minimum.
Ready to deploy Stable Diffusion?
Pick your GPU and have it running in minutes. No infrastructure setup required.