Self-Hosted AI Image Generation
Stable Diffusion Hosting
for Every Scale
Deploy SDXL, SD 3.5, SD 2, and SD 1.5 on dedicated GPU servers or GPU VPS with full control — fully compatible with ComfyUI, AUTOMATIC1111, LoRA, and ControlNet. Enable private, offline AI generation workflows with no third-party APIs.
NVIDIA A100 / H100 / RTX 5090
100% Private Deployment
LoRA + ControlNet Support
Offline AI Generation
Compatible SD Models
SD 1.5 / 2.1
SDXL Base + Refiner
SD 3 / SD 3.5 Large
Stable Video Diffusion
GPU utilization · High-performance inference
Choose the Best GPU for Stable Diffusion Hosting
From lightweight SD 1.5 pipelines to high-memory SDXL and SD 3.5 setups — we have the hardware for every workflow.
Basic Dedicated GPU Server - RTX 4060
$ 89.50/mo
50% OFF (Was $179.00)
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Order Now- GPU Model: RTX 4060
- CPU: 8-Core Xeon E5-2690
- Memory: 64GB RAM
- Disk: 120GB SSD + 960GB SSD
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Professional GPU VPS - RTX Pro 2000
$ 95.20/mo
20% OFF (Was $119.00)
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Order Now- GPU Model: RTX Pro 2000
- CPU: 16 CPU Cores
- Memory: 28GB RAM
- Disk: 240GB SSD
- Bandwidth: 300Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
- Backup: Once per 2 Weeks
Advanced Dedicated GPU Server - RTX 3060 Ti
$ 107.55/mo
55% OFF (Was $239.00)
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Order Now- GPU Model: RTX 3060 Ti
- CPU: 24-Core Dual E5-2697v2
- Memory: 128GB RAM
- Disk: 240GB SSD+2TB SSD
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Professional GPU VPS - RTX A4000
$ 119.00/mo
20% OFF (Was $149.00)
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Order Now- GPU Model: RTX A4000
- CPU: 24 CPU Cores
- Memory: 28GB RAM
- Disk: 320GB SSD
- Bandwidth: 300Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
- Backup: Once per 2 Weeks
Advanced Dedicated GPU Server - RTX A5000
$ 269.00/mo
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Order Now- GPU Model: RTX A5000
- CPU: 24-Core Dual E5-2697v2
- Memory: 128GB RAM
- Disk: 240GB SSD+2TB SSD
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Advanced GPU VPS - RTX 5090
$ 399.00/mo
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Order Now- GPU Model: RTX 5090
- CPU: 32 CPU Cores
- Memory: 84GB RAM
- Disk: 400GB SSD
- Bandwidth: 500Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
- Backup: Once per 2 Weeks
Enterprise Dedicated GPU Server - A100
$ 359.55/mo
55% OFF (Was $799.00)
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Order Now- GPU Model: A100
- CPU: 36-Core Dual E5-2697v4
- Memory: 256GB RAM
- Disk: 240GB SSD+2TB NVMe+8TB SATA
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Enterprise Dedicated GPU Server - A100(80GB)
$ 1559.00/mo
8% OFF (Was $1699.00)
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Order Now- GPU Model: A100(80GB)
- CPU: 36-Core Dual E5-2697v4
- Memory: 256GB RAM
- Disk: 240GB SSD+2TB NVMe+8TB SATA
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Explore 20 more GPU server plans for Stable Diffusion Hosting.
Model Compatibility
Stable Diffusion Model
Hosting Matrix
Detailed overview of GPU requirements, UI compatibility, LoRA support, ControlNet hosting, Refiner suitability, additional components, and license terms for every major SD model.
| Model | VRAM (fp16) | Recommended GPU | Img/sec | LoRA Support | ControlNet Support | Recommended UI | Refiner? | Additional Components | License Agreement |
|---|---|---|---|---|---|---|---|---|---|
| stabilityai/stable-diffusion-v1-4 v1-4 |
~4.27 GB | RTX3060 / 5060 | 1.5–2.0 | ✓ | ✓ (needs expansion) | AUTOMATIC1111 | ✗ | none | CreativeML OpenRAIL-M |
| stabilityai/stable-diffusion-v1-5 v1-5 |
~4.27 GB | RTX3060 / 5060 | 1.8–2.2 | ✓ | ✓ | AUTOMATIC1111 | ✗ | none | CreativeML OpenRAIL-M |
| stabilityai/stable-diffusion-2 v2 / 2.1 |
~5.2 GB | RTX3060 / 5060 | 1.6–2.0 | ✓ | ✓ | AUTOMATIC1111 | ✗ | none | CreativeML OpenRAIL-M |
| stabilityai/stable-diffusion-xl-base-1.0 SDXL Base |
~6.76 GB | A4000 / A5000 | 1.2–1.5 | ✓ | ✓ (SDXL ver.) | ComfyUI | ✓ | none | CreativeML OpenRAIL++-M |
| stabilityai/stable-diffusion-xl-refiner-1.0 SDXL Refiner |
~6.74 GB | A4000 / A5000 | 0.8–1.1 | ✓ | ✗ | ComfyUI | ✓ (As Refiner) | none | CreativeML OpenRAIL++-M |
| stabilityai/stable-audio-open-1.0 Stable Audio |
~7.6 GB | A4000 / A5000 | - | ✗ | ✗ | Web UI | ✗ | FFmpeg, TTS preprocessing | Non-commercial RAIL |
| stabilityai/stable-video-diffusion-img2vid-xt Stable Video Diffusion |
~8 GB | A4000 / A5000 | Depends on frame rate | ✗ | ✗ | Web UI | ✗ | FFmpeg | Non-commercial RAIL |
| stabilityai/stable-diffusion-3-medium SD 3 Medium |
~10 GB | RTX4090 / 5090 | 1.0–1.5 | ✓ | Partial | ComfyUI | ✓ | none | Not open source, requires API license |
| stabilityai/stable-diffusion-3.5-large SD 3.5 Large |
~20 GB | A100-40GB / RTX5090 | 0.5–0.9 | unknown | unknown | Web UI / API | ✓ (Combine with Refiner) | unknown | API-only |
| stabilityai/stable-diffusion-3.5-large-turbo SD 3.5 Turbo |
~20 GB | A100-40GB / RTX5090 | >2.0 | unknown | unknown | Web UI / API | ✓ (Combine with Refiner) | unknown | API-only |
SD Hosting Workflow
1
Select GPU Server
RTX 4060 → A100 → H100
↓
2
Deploy SD Model
SD 1.5 / SDXL / SD 3.5
↓
3
Choose Your UI
ComfyUI or AUTOMATIC1111
↓
4
Generate & Fine-Tune
LoRA · ControlNet · Refiner
What Is It?
Stable Diffusion Hosting Service
Stable Diffusion Hosting is running SD models on dedicated GPU servers or cloud infrastructure for AI image generation — without relying on third-party APIs. Self-host SD 1.5, SDXL, or SD 3.5 with your choice of ComfyUI or AUTOMATIC1111, and keep full control of your data, models, and pipelines.
Full Data Privacy
No image or prompt data leaves your server. Ideal for enterprise, NSFW-filtered, or air-gapped offline AI generation environments.
Any Model, Any Pipeline
Switch checkpoints, load LoRA weights, chain ControlNet models, or run SDXL Refiner passes — all inside your ComfyUI hosting environment with a custom node graph.
Scalable for Production
From solo artists to enterprise teams — deploy multi-GPU servers like 4×A100 for batch image generation, video diffusion, or audio SD at scale.
Core Features
Everything You Need for
Self-Hosted SD
Full SD Model Support
Run SD 1.5, SD 2.1, SDXL Base, SDXL Refiner, SD 3, and SD 3.5 on your own GPU server. Switch checkpoints, load LoRA fine-tuning weights, and connect ControlNet models — all without limits from a third-party API.
High-Performance GPU Infrastructure
Deploy on RTX 4090, RTX 5090, A100, or H100 GPUs for lightning-fast inference. Handle GPU AI image generation at scale with memory-efficient backends, batching, and multi-user concurrency on dedicated hardware.
Data Privacy & Offline AI Generation
Self-hosted Stable Diffusion means zero API calls to external services. Your prompts, models, and generated images stay on your infrastructure. Once set up, run fully offline — perfect for secure enterprise or air-gapped deployments.
ComfyUI Hosting & AUTOMATIC1111
Our ComfyUI hosting environment supports advanced node-based workflows with Refiner stages, multi-model chaining, and fine-grained control. Prefer a simpler setup? AUTOMATIC1111 hosting is equally supported — both run on the same dedicated GPU backend with drag-and-drop interfaces.
Why Specialized Hardware?
SD Hosting Needs a
Dedicated Stack
Stable Diffusion isn't just software — it's a hardware-software co-design problem requiring GPU VRAM, CUDA-matched libraries, and persistent model storage.
High VRAM GPU Requirement
Stable Diffusion models require 8–80+ GB of GPU VRAM for real-time image generation. CPUs simply cannot meet the parallel processing demands. A GPU server isn't a luxury — it's a baseline for running SD efficiently.
Complex Software Dependencies
SD hosting requires a tightly matched stack: PyTorch, CUDA/cuDNN, xformers, diffusers, and transformers — all version-pinned and GPU-accelerated. Our pre-configured environments eliminate setup complexity.
Interactive UI + GPU Backend
ComfyUI and AUTOMATIC1111 run browser-based UIs, but all generation workloads are offloaded to the GPU. Your Stable Diffusion VPS must support both web server frontends and high-throughput GPU runtimes simultaneously.
Heavy Model Storage Demands
Each SD checkpoint is 4–20 GB. ControlNet models, LoRA weights, VAEs, and embeddings multiply this quickly. Fast NVMe SSD storage and stable bandwidth are essential for SD model hosting — standard VPS hosting falls short.
Get Started
Start Your SD Hosting
Quickly
Self-Hosted vs. SaaS
Self-Hosted SD vs.
Stable Diffusion as a Service
Know when to self-host SD on a GPU VPS versus using a cloud SD API service. The right choice depends on your privacy, customization, and scale requirements.
| Feature | Self-Hosted Stable Diffusion | SD as a Service (SDaaS) |
|---|---|---|
| Setup & Maintenance | Requires GPU, drivers, PyTorch, Web UI setup | No setup — instant via browser or API |
| Hardware Cost | Fixed monthly GPU server cost | Pay-per-generation pricing |
| Model Customization | Full — LoRA, ControlNet, custom checkpoints | Limited to service offerings |
| Data Privacy | 100% local — no data leaves your server | Data processed by third-party servers |
| Offline AI Generation | Fully offline after model download | Requires internet connection always |
| Performance Control | Dedicated GPU — peak performance | Shared resources, tier-limited |
| Technical Skill Required | Medium–High (Linux / GPU / Python) | None — beginner-friendly |
| API Integration | Wrap via FastAPI, Flask, or Python | Built-in REST API access |
FAQ
Frequently Asked Questions
About SD Hosting
What's the difference between ComfyUI and AUTOMATIC1111 for Stable Diffusion?
AUTOMATIC1111 offers a feature-rich, web-based interface ideal for quick image generation, prompt crafting, and model switching. ComfyUI is a node-based workflow engine better suited for advanced pipelines, fine-grained control, multi-model setups, and automation. For SD hosting, both run on the same GPU backend.
Which UI should I choose for self-hosting SD?
If you're a beginner or want fast experimentation, start with AUTOMATIC1111. If you need precision control, complex pipelines, or SDXL Refiner integration, ComfyUI is recommended. Both work on our GPU servers with no additional configuration required.
What GPU do I need for efficient Stable Diffusion hosting?
SD 1.5 works on 8–12GB VRAM (e.g., RTX 3060, RTX A4000). SDXL Base + Refiner needs 24–32GB (e.g., RTX 4090, RTX 5090). SD 3.5 Large and video/audio SD models require 40–80GB VRAM (e.g., A100 40GB, A100 80GB, H100).
Can I use LoRA and ControlNet with both UIs?
Yes. AUTOMATIC1111 supports LoRA and ControlNet natively through its extensions system. ComfyUI supports them via custom nodes, often offering deeper customization and more flexible ControlNet hosting workflows for production pipelines.
Is it possible to run multiple users or batch jobs on a Stable Diffusion VPS?
Yes, especially with a high-memory GPU and optimized backend. For production-grade SD hosting with multiple users, containerization and GPU scheduling are recommended. Our multi-GPU servers (4×A100) excel at high-concurrency batch image generation.
Do I need a license to use SD models commercially?
SD 1.5 and SDXL are under CreativeML OpenRAIL-M licenses, which allow commercial use with restrictions. SD 3.x and audio/video models may require API-only licenses or restrict non-commercial use. Always review the specific license terms before deploying any model in production.
Can SD hosting run offline without internet?
Yes. Once models and weights are downloaded to your GPU server, both ComfyUI and AUTOMATIC1111 run fully offline. This makes self-hosted SD ideal for secure, air-gapped, or privacy-sensitive AI image generation environments.
Can I integrate SD Hosting into my own app or API?
Absolutely. Both ComfyUI and AUTOMATIC1111 expose REST APIs that can be wrapped with Python, FastAPI, or Flask for full automation. You can also build custom SD image generation pipelines and expose them as microservices on your GPU server.
Start Today
Launch Your Stable Diffusion
Hosting Server Now
Deploy SDXL, SD 3.5, or SD 1.5 on dedicated GPU hardware with full control, ComfyUI or AUTOMATIC1111 pre-installed, and prices from $89/mo. No APIs, no limits, no data leaks.
Instant GPU provisioning
Windows & Linux OS
24/7 support included