Stable Diffusion WebUI hosting

The AUTOMATIC1111 interface — GPU-bound, listed for completeness.

Speech, image & videoAGPL-3.0on request
In short

Stable Diffusion WebUI is in our catalogue but not yet orderable: it needs GPU capacity, and we would rather list it honestly than sell a CPU plan that disappoints. Tell us what you need and we will tell you where it stands.

ExtensionsInpaintingUpscalingGPU required

Stable Diffusion WebUI is the browser interface written by AUTOMATIC1111 on top of Gradio and PyTorch, and for several years the default way to run diffusion models yourself. It covers txt2img and img2img, inpainting, outpainting, upscaling, LoRA and textual inversion, checkpoint merging and an optional HTTP API, and its extension ecosystem adds ControlNet and much more. It runs SD 1.5, SD 2.x, SDXL and, since version 1.10, SD3 Medium checkpoints.

Image generation is dominated by the GPU: each step is a large tensor workload that a CPU completes many times more slowly. That is why the project’s own guidance starts at an NVIDIA card with 4 GB of VRAM, and why we list it without selling a plan. The latest tagged release, 1.10.1, dates from February 2025, so newer model families tend to arrive in forks and in ComfyUI first.

What Stable Diffusion WebUI needs

When GPU plans launch: a single Python container running the WebUI with PyTorch and CUDA, with models, outputs and extensions on persistent volumes.

What we configure for you

  • --listen with --gradio-auth so the interface is never open without a password
  • --api enabled if you want HTTP access from other tools
  • Checkpoint, LoRA and VAE folders on a persistent volume you can fill over SFTP
  • Extensions folder persisted across updates
  • TLS on your hostname

Which plan fits

There are no tiers yet. A realistic plan would need an NVIDIA GPU with at least 8 GB of VRAM for SDXL, plus 16 GB of system RAM for loading checkpoints and enough disk for several multi-gigabyte models.

The honest limits

Not orderable today: we will not offer it on CPU. Upstream development has slowed since the 1.10.1 release, so support for the newest model families is limited.

What people run Stable Diffusion WebUI for

Inpainting and outpainting

Repair or extend existing images with masked regeneration.

LoRA and style experiments

Stack LoRAs and embeddings on a base checkpoint and compare results side by side.

Image API for other apps

Run with --api so scripts and bots can request images over HTTP.

Licence and version policy

ItemPosition
Upstream licenceAGPL-3.0
Sold as managed hostingNo
TenancySingle tenant — one customer per instance
PatchingCritical advisories within 24 hours, high severity within 72

Our full position on licences, including the applications we decline to sell, is on the licensing page.

Reading on Stable Diffusion WebUI

Works well with Stable Diffusion WebUI

More Speech, image & video we host

Questions

Stable Diffusion WebUI hosting: your questions

Why can I not order Stable Diffusion WebUI now?
Our current plans are CPU-only, and on CPU a single SDXL image takes minutes rather than seconds. Rather than sell a plan that disappoints, we list the app as coming soon until GPU plans are available.
What GPU would it need?
The README lists an NVIDIA card with 4 GB of VRAM as the floor, which is enough for SD 1.5 with the --medvram or --lowvram options. SDXL checkpoints are much more comfortable with 8 GB or more, and larger batches or high-resolution upscaling want 12 GB and above.
Should I choose WebUI, ComfyUI or InvokeAI?
WebUI has the most familiar form-based interface and a huge body of guides. ComfyUI uses a node graph and tends to support new model families first. InvokeAI offers a polished canvas for artists. All three are GPU-bound in the same way.
Does it have an API?
Yes. Launching with --api exposes HTTP endpoints for txt2img, img2img and other operations, documented at /docs on the running instance. The --gradio-auth option adds a password to the web interface when it is reachable over a network.
Which licence does it use?
AGPL-3.0. You can use and host it freely, but modified versions offered to users over a network must make their source available. Model checkpoints carry their own separate licences, which you should check for commercial use.

Tell us what you need

If this is the app you need, say so — demand is how things move up the list.