Documentation Index
Fetch the complete documentation index at: https://runcrate.ai/docs/llms.txt
Use this file to discover all available pages before exploring further.
Render AI-generated videos on a dedicated cloud GPU. AnimateDiff turns text prompts into animated sequences. Both tools are VRAM-hungry — a cloud GPU avoids tying up your local machine.
GPU requirements
| Tool | Min VRAM | Recommended GPU |
|---|
| AnimateDiff (SD 1.5) | 12 GB | RTX 4090 |
| AnimateDiff (SDXL) | 20 GB | RTX 4090 |
| CogVideoX | 24 GB+ | A100 80 GB |
1. Deploy a GPU instance
runcrate instances create --name video-gen --gpu RTX4090 --template ubuntu-devbox
runcrate instances status video-gen
2. Install AnimateDiff
runcrate ssh video-gen -- "
cd /workspace &&
git clone https://github.com/guoyww/AnimateDiff.git &&
cd AnimateDiff &&
pip install -r requirements.txt
"
runcrate ssh video-gen -- "
cd /workspace/AnimateDiff &&
mkdir -p models/Motion_Module models/StableDiffusion &&
huggingface-cli download guoyww/animatediff-motion-adapter-v1-5-3 \
--local-dir models/Motion_Module &&
huggingface-cli download runwayml/stable-diffusion-v1-5 \
--local-dir models/StableDiffusion/stable-diffusion-v1-5
"
3. Generate a video
runcrate ssh video-gen -- "cd /workspace/AnimateDiff && python -m scripts.animate \
--config configs/prompts/v3/v3-1-T2V.yaml \
--pretrained_model_path models/StableDiffusion/stable-diffusion-v1-5 \
--L 16 --W 512 --H 512"
4. Download rendered videos
runcrate cp video-gen:/workspace/AnimateDiff/output/ ./rendered-videos/
Monitor GPU during rendering
runcrate ssh video-gen -- nvidia-smi
runcrate ssh video-gen -- "ls -la /workspace/AnimateDiff/output/"
Tips
- AnimateDiff at 512x512 with 16 frames fits on an RTX 4090. Higher resolutions need an A100.
- Use
--L 32 for longer animations. Memory scales linearly with frame count.
- Convert frames to video with ffmpeg:
ffmpeg -framerate 12 -i frame_%04d.png -c:v libx264 output.mp4.
- Attach a volume to persist models across sessions.
Cleanup
runcrate instances delete video-gen
