Running in ~30 s
Pre-cached image, ports mapped, TLS terminated — the stack is working before you finish reading this.
Products
Developers & company
GPUs · on-demand per hour
Template · Image generation · CUDA 12.8
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.
Pre-cached image, ports mapped, TLS terminated — the stack is working before you finish reading this.
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.
Models, datasets and outputs live on a $0.08/GB/mo volume; the instance stays disposable.
Dedicated GPU, encrypted disk, crypto payments, no KYC, no stored IPs — Jupyter and SSH behind your own credentials.
Three price points that run this template well — Good, Better, Best. Every model in the catalogue works; these are the value picks.
| Tier | GPU | VRAM | On-demand | Interruptible | Why this card | Action |
|---|---|---|---|---|---|---|
| Good | RTX 3060 | 12 GB | $0.041 | $0.020 | 12 GB is enough for SD 1.5 and SDXL at modest sizes. | Deploy |
| Better | RTX 4090 | 24 GB | $0.262 | $0.131 | 24 GB: Flux dev and heavy ControlNet stacks. | Deploy |
| Best | RTX 5090 | 32 GB | $0.318 | $0.159 | 32 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.
Pick the template in the console deploy bar, or script it:
$ 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
| Image | powergpu/sd-forge |
|---|---|
| CUDA | CUDA 12.8 |
| Access | also builds for ARM hosts · SSH shell · JupyterLab on a mapped port |
| Category | Image generation |
| Storage | Instance NVMe disk (sized at deploy) + optional network volumes |
| Billing | GPU price only, per second — no template fee, no setup fee |
Environment variables, ports and custom images are covered in the template docs.
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.
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.
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.
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.
Top up in crypto, benchmark us against your current provider. Per-second billing, fixed prices ≥ 30% below market — cancel by just stopping the instance.