A fully automated RunPod template for WAN 2.2 Image-to-Video generationwith Ollama AI prompt generation built in. Deploy, wait for first boot,and start generating — no manual setup required. ## Template Link<a target="_blank" rel="ugc" href="https://console.runpod.io/deploy?template=08e485o9k7&amp;ref=oz31dyrx">https://console.runpod.io/deploy?template=08e485o9k7&amp;ref=oz31dyrx</a>## What's Included- ComfyUI latest version with WAN 2.2 I2V support- SageAttention for optimized fast generation- Ollama for automatic AI prompt generation from images or text- Modifiable Ollama system prompt — customize the AI prompt style directly in the workflow node- JupyterLab for file management and monitoring- ComfyUI Manager for easy node management- Civicomfy — download models from CivitAI directly inside ComfyUI- LoRA Manager — browse, manage and swap LoRAs without leaving ComfyUI- Pre-installed custom nodes — rgthree, VideoHelperSuite, KJNodes, Easy Use, DaSiWa Nodes, WhiteRabbit, comfyui-ollama- Auto-downloads all required models on first boot via CivitAI- Nova Anime XL included for image generation- Pre-loaded workflow ready to use on first boot## The WorkflowThe included oneclick_workflow is designed to be as simple as possible:- Drop in a reference image and hit generate- Ollama automatically generates a motion prompt from your image- Built in text-to-image section using Nova Anime XL to generate your reference image if you don't have one- Swap LoRAs easily using the Power LoRA Loader node- Bypass the Ollama node and type your own prompt anytime- Everything wired up and ready — no node connecting required## Requirements- RunPod account — <a target="_blank" rel="ugc" href="http://runpod.io">runpod.io</a>- CivitAI account and API token — <a target="_blank" rel="ugc" href="http://civarchive.com">civitai.com</a> → Account Settings → API Keys## Setup1. Click the RunPod template link below2. Select your GPU3. Attach a network volume at /workspace (250GB+ recommended)4. Add your CIVITAI_TOKEN environment variable5. Deploy the pod6. Wait 10-15 minutes on first boot for models to download7. Open ComfyUI on port 81888. Load oneclick_workflow from the workflows menu and start generating## Environment Variables- CIVITAI_TOKEN (required) — your CivitAI API token- VRAM_MODE (optional) — high, normal, or low — default normal- OLLAMA_GPU (optional) — gpu or cpu — default gpu## Recommended GPUs- L40S 48GB — best experience, VRAM_MODE=high OLLAMA_GPU=gpu- RTX 5090 32GB — VRAM_MODE=normal OLLAMA_GPU=gpu- RTX 4090 24GB — VRAM_MODE=low OLLAMA_GPU=cpu## Ports- 8188 — ComfyUI- 8888 — JupyterLab- 11434 — Ollama API## First BootFirst boot takes 10-20 minutes while models download. Monitor progressin JupyterLab on port 8888 by opening a terminal and running:tail -f /workspace/logs/bar.logSubsequent boots are fast since all models are cached on your network volume.## Ollama Prompt GenerationThe workflow uses Ollama for automatic motion prompt generation. The includedmodel runs in text-only mode rather than vision mode — this is intentional.Text-only inference is significantly faster and in practice a brief manualdescription of your reference image tends to produce more accurate andconsistent motion prompts than vision-based analysis. Simply type a shortdescription of your image into the prompt field and let Ollama expand it intoa full motion prompt. The system prompt is fully editable directly in theOllama node within ComfyUI, so you can tailor the prompt style to yourspecific workflow without any technical knowledge required.If the prompts being generated aren't to your liking, try resetting the session via the node in the comfyui workflow, or if that doesn't work try a different system prompt.## Template Link<a target="_blank" rel="ugc" href="https://console.runpod.io/deploy?template=08e485o9k7&amp;ref=oz31dyrx">https://console.runpod.io/deploy?template=08e485o9k7&amp;ref=oz31dyrx</a>If you find this useful please follow and leave a review!Feel free to post your generations in the comments.

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