[refactor]: migrate examples/scripts to typed VideoGenerator API; rename api/compat.py to api/translation.py

Move all examples/inference and scripts off the legacy
VideoGenerator.from_pretrained(model, **kwargs) +
generate_video(prompt, **kwargs) surface onto the typed
from_config(GeneratorConfig(...)) + generate(GenerationRequest(...))
convention, including the Kandinsky-5 and DreamX-World examples added
on main after the original migration. git-mv api/compat.py to
api/translation.py ('compat' implied a temporary shim; the forward
translation is its honest permanent role) and repoint all importers,
tests, and doc links.

examples/inference/basic/basic_lingbotworld_base_cam.py

@@ -1,24 +1,31 @@
 from fastvideo import VideoGenerator
+from fastvideo.api import (
+    EngineConfig, GenerationRequest, GeneratorConfig, InputConfig, OffloadConfig, OutputConfig, SamplingConfig,
+)
 from fastvideo.models.dits.lingbotworld.cam_utils import prepare_camera_embedding
 
-# from fastvideo.api.sampling_param import SamplingParam
 OUTPUT_PATH = "video_samples_lingbotworld"
 def main():
     # FastVideo will automatically use the optimal default arguments for the
     # model.
     # If a local path is provided, FastVideo will make a best effort
     # attempt to identify the optimal arguments.
-    generator = VideoGenerator.from_pretrained(
-         "FastVideo/LingBot-World-Base-Cam-Diffusers",
-        # FastVideo will automatically handle distributed setup
-        num_gpus=1,
-        use_fsdp_inference=False, # set to True if GPU is out of memory
-        dit_cpu_offload=True, # DiT need to be offloaded for MoE
-        vae_cpu_offload=False,
-        text_encoder_cpu_offload=True,
-        # Set pin_cpu_memory to false if CPU RAM is limited and there're no frequent CPU-GPU transfer
-        pin_cpu_memory=True,
-        # image_encoder_cpu_offload=False,
+    generator = VideoGenerator.from_config(
+        GeneratorConfig(
+            model_path="FastVideo/LingBot-World-Base-Cam-Diffusers",
+            engine=EngineConfig(
+                # FastVideo will automatically handle distributed setup
+                num_gpus=1,
+                use_fsdp_inference=False,  # set to True if GPU is out of memory
+                offload=OffloadConfig(
+                    dit=True,  # DiT need to be offloaded for MoE
+                    vae=False,
+                    text_encoder=True,
+                    # Set pin_cpu_memory to false if CPU RAM is limited and there're no frequent CPU-GPU transfer
+                    pin_cpu_memory=True,
+                ),
+            ),
+        )
     )
 
     num_frames = 81
@@ -33,15 +40,23 @@ def main():
         spatial_scale=8,
     )
 
-    generator.generate_video(
-        prompt,
-        image_path=image_path,
-        output_path=OUTPUT_PATH,
-        save_video=True,
-        num_frames=num_frames,
-        height=480,
-        width=832,
-        c2ws_plucker_emb=c2ws_plucker_emb,
+    generator.generate(
+        GenerationRequest(
+            prompt=prompt,
+            inputs=InputConfig(
+                image_path=image_path,
+                c2ws_plucker_emb=c2ws_plucker_emb,
+            ),
+            sampling=SamplingConfig(
+                num_frames=num_frames,
+                height=480,
+                width=832,
+            ),
+            output=OutputConfig(
+                output_path=OUTPUT_PATH,
+                save_video=True,
+            ),
+        )
     )