Price floor Every GPU at least 30% below the market median — re-checked against the marketplace weekly.

See the proof

Template · Image generation · CUDA 12.8

Run SD WebUI Forge on a cloud GPU, in 30 seconds

The Forge fork of the SD WebUI — faster attention, lower VRAM, same extensions. Forge is the performance-focused fork of the Automatic1111 WebUI: faster attention, lower VRAM, native Flux support and the same extension ecosystem. If you know A1111, you know Forge — it is simply quicker and lighter. From $0.020/hr on an interruptible RTX 3060.

Running in ~30 s

Pre-cached image, ports mapped, TLS terminated — the stack is working before you finish reading this.

Template is free

You pay the GPU price only: SD WebUI Forge on a RTX 3060 is $0.041/hr on-demand, $0.020/hr interruptible, billed per second.

Volumes for state

Models, datasets and outputs live on a $0.08/GB/mo volume; the instance stays disposable.

Private by default

Dedicated GPU, encrypted disk, crypto payments, no KYC, no stored IPs — Jupyter and SSH behind your own credentials.

Best GPUs for SD WebUI Forge

Three price points that run this template well — Good, Better, Best. Every model in the catalogue works; these are the value picks.

TierGPUVRAMOn-demandInterruptibleWhy this cardAction
GoodRTX 306012 GB$0.041$0.02012 GB is enough for SD 1.5 and SDXL at modest sizes.Deploy
BetterRTX 409024 GB$0.262$0.13124 GB: Flux dev and heavy ControlNet stacks.Deploy
BestRTX 509032 GB$0.318$0.15932 GB for large batches and high-resolution hires-fix passes.Deploy

Need more VRAM? The full catalogue lists all 76 models with live availability; the VRAM guide sizes models to cards.

Deploy SD WebUI Forge from the console, CLI or API

Pick the template in the console deploy bar, or script it:

  • Console — filter by GPU, choose SD WebUI Forge in the template picker, set disk and env, deploy.
  • CLIpip install powergpu, then the command on the right. CLI reference.
  • APIPOST /v1/instances with "template": "sd-webui-forge". REST reference.
  • Own image — any OCI reference works too; we inject the NVIDIA runtime. Template docs.
deploy — sd-webui-forge
$ powergpu launch --gpu rtx-3060 --template sd-webui-forge \
    --disk 100 --volume models:/workspace/models
 instance i-7a41c0e2 running (27.9s)
# SD WebUI Forge · RTX 3060 · $0.041/hr · per second
# https://i-7a41c0e2.powergpu.io:8888 (TLS)
$ powergpu stop i-7a41c0e2   # billing ends this second

What is inside the SD WebUI Forge template

Imagepowergpu/sd-forge
CUDACUDA 12.8
Accessalso builds for ARM hosts · SSH shell · JupyterLab on a mapped port
CategoryImage generation
StorageInstance NVMe disk (sized at deploy) + optional network volumes
BillingGPU price only, per second — no template fee, no setup fee

Other image generation templates

SD WebUI Forge on a cloud GPU: FAQ

Environment variables, ports and custom images are covered in the template docs.

How much does it cost to run SD WebUI Forge on a cloud GPU?

Only the GPU price — the template is free. From $0.020/hr on an interruptible RTX 3060, $0.041/hr on-demand on a RTX 3060. Billing is per second, so an hour of tinkering costs an hour, not a day. Storage is $0.08/GB/month.

How long does SD WebUI Forge take to start?

About 30 seconds from the deploy click: the image is pre-cached on hosts, ports are mapped and TLS is terminated for you. Restarting a stopped instance is faster, and your disk is exactly as you left it.

Can I keep my models and outputs between sessions?

Yes — attach a volume at deploy. Everything on the volume survives instance destruction and mounts on the next instance in the region in seconds, at $0.08/GB/month. The instance disk itself survives stop/start but not destroy.

Do A1111 extensions work in Forge?

Most do — ControlNet, ADetailer, Regional Prompter and the popular ones are supported natively or via the extension index. A few heavily patched extensions need Forge-specific forks.

Deploy your first GPU in under a minute

Top up in crypto, benchmark us against your current provider. Per-second billing, fixed prices ≥ 30% below market — cancel by just stopping the instance.