Run a image generation bot on RunPod with OpenClaw

Deploy a image generation bot with OpenClaw on RunPod from $0.44/hr. RunPod GPUs run SDXL or Flux locally inside OpenClaw. 30-min setup, real costs, working code — full guide inside.

Why RunPod for a image bot?

RunPod GPUs run SDXL or Flux locally inside OpenClaw. For a image bot workload, you want stable uptime, predictable network latency to the messaging API, and enough RAM to hold OpenClaw's memory store. RunPod delivers all three from $0.44/hr.

Hardware sizing

For a single image bot, start with the entry-level RunPod plan from $0.44/hr. Scale up if you handle more than a few thousand messages per day, or if you add browser automation or local LLM inference to the agent.

Step-by-step setup

1) Provision the RunPod instance. 2) Install Docker and pull the OpenClaw container. 3) Configure the messaging adapter (Telegram bot token, WhatsApp Business API key, Discord application token, etc.). 4) Define your agent's system prompt and tools in YAML. 5) Point the messaging webhook at the OpenClaw endpoint. Total setup is typically 30 minutes.

Monthly cost

At $0.44/hr, this is one of the cheapest production-quality ways to run a image bot. Add LLM API costs (or zero if you self-host the model on a GPU instance), and you have a fully autonomous agent running for less than a single ChatGPT seat per month.