fix: update torchao FP8 quantization API for HF Spaces compatibility

src/video_generator_hf.py

@@ -60,8 +60,8 @@ def _get_pipe():
 
     # Quantize transformer to FP8 to fit in 24GB ZeroGPU VRAM
     # (~28GB bf16 → ~14GB fp8). VAE + image encoder stay float32.
-    from torchao.quantization import quantize_, float8_weight_only
-    quantize_(_pipe.transformer, float8_weight_only())
+    from torchao.quantization import quantize_, Float8WeightOnlyConfig
+    quantize_(_pipe.transformer, Float8WeightOnlyConfig())
 
     _pipe.to("cuda")