--- title: "Run Flux LoRA training on a cloud GPU from $0.163/hr | PowerGPU" description: "Flux Gym on a fixed-price cloud GPU: one-click template, running in ~30 s, from $0.163/hr on RTX 4090. Best GPUs, volumes, per-second billing." url: https://powergpu.ai/templates/flux-gym last_modified: 2026-09-14T11:04:20+00:00 prices_as_of: 2026-09-14 site: PowerGPU (powergpu.ai) --- Template · Training & fine-tuning # Run Flux LoRA training on a cloud GPU, in 30 seconds A dead-simple UI for training Flux LoRAs, built on the Kohya scripts. Flux Gym is the simplest UI for training Flux LoRAs, built on the Kohya scripts with sensible defaults and low-VRAM modes. Upload images, write captions, pick a VRAM profile, press train. From **$0.163** /hr on an interruptible RTX 4090. Flux Gym powergpu/fluxgym (ARM) (SSH) (Jupyter) Pinned image, rebuilt on upstream releases. Override env, ports and disk at deploy. ### 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: Flux Gym on a RTX 4090 is $0.327/hr on-demand, $0.163/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 Flux Gym 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 | | | --- | --- | --- | --- | --- | --- | --- | | (Good) | [RTX 4090](https://powergpu.ai/gpu/rtx-4090) | 24 GB | $0.327 | $0.163 | 24 GB: the 20 GB profile trains a Flux dev LoRA in about an hour. | [Deploy](https://cloud.powergpu.ai/?gpu=rtx-4090) | | (Better) | [RTX 5090](https://powergpu.ai/gpu/rtx-5090) | 32 GB | $0.439 | $0.219 | 32 GB for faster runs and higher resolutions. | [Deploy](https://cloud.powergpu.ai/?gpu=rtx-5090) | | (Best) | [RTX PRO 6000 WS](https://powergpu.ai/gpu/rtx-pro-6000-ws) | 96 GB | $1.040 | $0.520 | 96 GB for full-precision Flux with big batches. | [Deploy](https://cloud.powergpu.ai/?gpu=rtx-pro-6000-ws) | Need more VRAM? The [full catalogue](https://powergpu.ai/gpus) lists all 80 models with live availability; the [VRAM guide](https://powergpu.ai/guides/llm-vram-requirements) sizes models to cards. ## Deploy Flux Gym from the console, CLI or API Pick the template in the [console](https://cloud.powergpu.ai/) deploy bar, or script it: - **Console** — filter by GPU, choose *Flux Gym* in the template picker, set disk and env, deploy. - **CLI** — pip install powergpu, then the command on the right. [CLI reference](https://powergpu.ai/cli). - **API** — POST /v1/instances with "template": "flux-gym". [REST reference](https://powergpu.ai/api). - **Own image** — any OCI reference works too; we inject the NVIDIA runtime. [Template docs](https://powergpu.ai/docs/templates). *deploy — flux-gym* ``` $ powergpu launch --gpu rtx-4090 --template flux-gym \ --disk 100 --volume models:/workspace/models ✓ instance i-7a41c0e2 running (27.9s) # Flux Gym · RTX 4090 · $0.327/hr · per second # https://i-7a41c0e2.powergpu.ai:8888 (TLS) $ powergpu stop i-7a41c0e2 # billing ends this second ``` ## What is inside the Flux Gym template - **Image**: powergpu/fluxgym - **CUDA**: inherits host driver (any 12.x / 13.x) - **Access**: also builds for ARM hosts · SSH shell · JupyterLab on a mapped port - **Category**: [Training & fine-tuning](https://powergpu.ai/templates#tune) - **Storage**: Instance NVMe disk (sized at deploy) + optional [network volumes](https://powergpu.ai/products/volumes) - **Billing**: GPU price only, per second — no template fee, no setup fee ## Other training & fine-tuning templates - [Axolotl — Fine Tuning on a cloud GPU](https://powergpu.ai/templates/axolotl-fine-tuning) — Fine-tune Llama, Qwen or Mistral from one YAML — LoRA, QLoRA and multi-GPU FSDP. - [Unsloth Studio on a cloud GPU](https://powergpu.ai/templates/unsloth-studio) — 2× faster, lower-VRAM fine-tuning — Unsloth kernels with a notebook workflow. - [Kohya's GUI on a cloud GPU](https://powergpu.ai/templates/kohya-s-gui) — Train SDXL and Flux image LoRAs in a browser GUI — dataset in,.safetensors out. - [Ostris AI Toolkit on a cloud GPU](https://powergpu.ai/templates/ostris-ai-toolkit) — The AI-Toolkit trainer for Flux and diffusion models, with a web UI. - [All 37 templates](https://powergpu.ai/templates) ## Flux Gym on a cloud GPU: FAQ Environment variables, ports and custom images are covered in the [template docs](https://powergpu.ai/docs/templates). **How much does it cost to run Flux Gym on a cloud GPU?** Only the GPU price — the template is free. From $0.163/hr on an interruptible RTX 4090, $0.327/hr on-demand on a RTX 4090. Billing is per second, so an hour of tinkering costs an hour, not a day. Storage is $0.08/GB/month. **How long does Flux Gym 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. **Does Flux training fit in 16 GB?** Flux Gym's 12 GB and 16 GB profiles use quantized bases and gradient checkpointing. They work on a 16 GB card at reduced speed; 24 GB is the comfortable minimum. --- *About PowerGPU:* PowerGPU (powergpu.ai) is a cloud GPU rental service offering 80 NVIDIA GPU models — from the RTX A2000 at $0.024/hr to the B300 — at fixed prices set at least 30% below the public GPU marketplace median and re-checked weekly (H100 SXM: $1.428/hr on-demand). Billing is per second with no minimums; payment is crypto only (USDT, BTC, XMR, ETH, SOL, LTC, TRX) with no KYC. Instances run in Tier-III datacenters across 32 regions with a 99.9% uptime SLA and deploy in about 30 seconds from the web console (cloud.powergpu.ai) or the REST API. Source: https://powergpu.ai/templates/flux-gym · Site index for AI assistants: https://powergpu.ai/llms.txt · Full content: https://powergpu.ai/llms-full.txt