[misc]: point DreamX-World at published FastVideo Diffusers repos

Advertise FastVideo/DreamX-World-5B-Cam-Diffusers and
FastVideo/DreamX-World-5B-Diffusers as the loadable ids in the registry
(raw GD-ML path detection is kept via the pattern detectors), default the
example and local tests to the hub ids so they no longer skip when local
converted dirs are absent, and drop the now-redundant pipeline class
override in the example (model_index.json carries DreamXWorldPipeline).

examples/inference/basic/basic_dreamx_world.py

@@ -1,3 +1,10 @@
+"""DreamX-World-5B-Cam camera-controlled video generation.
+
+Uses the pre-converted Diffusers checkpoint FastVideo/DreamX-World-5B-Cam-Diffusers.
+To convert the raw GD-ML/DreamX-World-5B-Cam checkpoint yourself, see
+scripts/checkpoint_conversion/dreamx_world_to_diffusers.py.
+"""
+
 import os
 
 from fastvideo import VideoGenerator
@@ -15,7 +22,7 @@ def _env_float(name: str, default: float) -> float:
 
 
 def main():
-    model_name = os.getenv("DREAMX_WORLD_MODEL_DIR", "GD-ML/DreamX-World-5B-Cam")
+    model_name = os.getenv("DREAMX_WORLD_MODEL_DIR", "FastVideo/DreamX-World-5B-Cam-Diffusers")
     generator = VideoGenerator.from_pretrained(
         model_name,
         num_gpus=1,
@@ -24,7 +31,6 @@ def main():
         vae_cpu_offload=True,
         text_encoder_cpu_offload=True,
         pin_cpu_memory=False,
-        override_pipeline_cls_name="DreamXWorldPipeline",
     )
 
     prompt = os.getenv(