scripts/run-cloud-job.sh

#!/bin/bash
# Hugging Face Job Script — Cloud GPU Video Generation
# Usage: hf jobs run --flavor t4-small --image python:3.12 bash scripts/run-cloud-job.sh

set -e

echo "=== HF Cloud Video Job ==="
echo "Hardware: $(nvidia-smi --query-gpu=name --format=csv,noheader 2>/dev/null || echo 'CPU')"
echo ""

# Install dependencies
pip install -q diffusers transformers torch accelerate safetensors

# Download LTX-2.3 model from HF cache
HF_HOME=/root/.cache/huggingface
mkdir -p $HF_HOME

# Sync input assets from bucket
hf sync hf://buckets/kritnatee/Creator360.Studio-storage/images ./input-images
hf sync hf://buckets/kritnatee/Creator360.Studio-storage/audio ./input-audio

# Run LTX-2.3 inference
python -c "
from diffusers import LTXPipeline
import torch

pipe = LTXPipeline.from_pretrained(
    'Lightricks/LTX-2.3',
    torch_dtype=torch.bfloat16
).to('cuda')

# Generate
video = pipe(
    prompt='Your video prompt here',
    negative_prompt='',
    num_frames=49,
    width=512,
    height=512,
    num_inference_steps=20,
).frames[0]

# Save
import imageio
imageio.mimwrite('output.mp4', video, fps=24, codec='libx264')
print('Video generated: output.mp4')
"

# Sync results back to bucket
hf sync ./output.mp4 hf://buckets/kritnatee/Creator360.Studio-storage/video/
echo "=== Job Complete ==="