Minor update on the LTX2 NVFP4 recipe (#1010)

### What does this PR do?

Type of change: minor code change <!-- Use one of the following: Bug
fix, new feature, new example, new tests, documentation. -->

1. Update the default calibration dataset for LTX_VIDEO_DEV and LTX2
from Gustavosta/Stable-Diffusion-Prompts to nkp37/OpenVid-1M, which
provides video-specific captions better suited for video model
calibration.
2. update the default recipe for ltx2: first 3 and last 3 layers stays
at higher precision.

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<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->

## Summary by CodeRabbit

* **Chores**
  * Updated default dataset configuration for LTX-Video and LTX2 models.
* Refined model filtering pattern for LTX-Video to support additional
model components.

<!-- end of auto-generated comment: release notes by coderabbit.ai -->

Signed-off-by: Jingyu Xin <jingyux@nvidia.com>

Author: jingyu-ml

examples/diffusers/quantization/models_utils.py

@@ -151,7 +151,7 @@ def get_model_filter_func(model_type: ModelType) -> Callable[[str], bool]:
     ModelType.FLUX_SCHNELL: _FLUX_BASE_CONFIG,
     ModelType.LTX_VIDEO_DEV: {
         "backbone": "transformer",
-        "dataset": _SD_PROMPTS_DATASET,
+        "dataset": _OPENVID_DATASET,
         "inference_extra_args": {
             "height": 512,
             "width": 704,
@@ -161,7 +161,7 @@ def get_model_filter_func(model_type: ModelType) -> Callable[[str], bool]:
     },
     ModelType.LTX2: {
         "backbone": "transformer",
-        "dataset": _SD_PROMPTS_DATASET,
+        "dataset": _OPENVID_DATASET,
         "inference_extra_args": {
             "height": 768,
             "width": 1280,

examples/diffusers/quantization/utils.py

@@ -70,7 +70,7 @@ def check_conv_and_mha(backbone, if_fp4, quantize_mha):
 def filter_func_ltx_video(name: str) -> bool:
     """Filter function specifically for LTX-Video models."""
     pattern = re.compile(
-        r".*(proj_in|time_embed|caption_projection|proj_out|patchify_proj|adaln_single).*"
+        r".*(proj_in|time_embed|caption_projection|proj_out|patchify_proj|adaln_single|transformer_blocks\.(0|1|2|45|46|47)\.).*"
     )
     return pattern.match(name) is not None