Create app.py

app.py

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+import torch
+from diffusers import CogVideoXPipeline
+from diffusers.utils import export_to_video
+
+# Load pipeline
+pipe = CogVideoXPipeline.from_pretrained(
+    "THUDM/CogVideoX-5b",
+    torch_dtype=torch.float16
+)
+pipe.enable_model_cpu_offload()  # Hemat VRAM
+
+# Prompt deskripsi manusia bergerak
+prompt = "A woman in a red dress dancing gracefully in a studio, cinematic lighting, slow motion"
+
+# Generate video
+video = pipe(
+    prompt=prompt,
+    num_inference_steps=50,
+    guidance_scale=6.0,
+    height=480,
+    width=720,
+).frames[0]
+
+# Simpan sebagai video
+export_to_video(video, "human_dance.mp4", fps=8)
+
+print("✅ Video generated: human_dance.mp4")