[refactor]: move examples to generate(request) and from_config

Every example calls VideoGenerator.generate with a nested request instead
of generate_video keywords, and passes settings outside the from_pretrained
convenience keywords through VideoGenerator.from_config at their typed
paths. Each request and generator config equals what the keyword call built.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012M91wnVFmPEvJ9h39r5BH7

examples/inference/basic/basic.py

@@ -1,7 +1,5 @@
 from fastvideo import VideoGenerator
 
-# from fastvideo.api.sampling_param import SamplingParam
-
 OUTPUT_PATH = "video_samples"
 
 
@@ -22,15 +20,20 @@ def main():
         # image_encoder_cpu_offload=False,
     )
 
-    # sampling_param = SamplingParam.from_pretrained("Wan-AI/Wan2.1-T2V-1.3B-Diffusers")
-    # sampling_param.num_frames = 45
-    # sampling_param.image_path = "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/astronaut.jpg"
     # Generate videos with the same simple API, regardless of GPU count
     prompt = ("A curious raccoon peers through a vibrant field of yellow sunflowers, its eyes "
               "wide with interest. The playful yet serene atmosphere is complemented by soft "
               "natural light filtering through the petals. Mid-shot, warm and cheerful tones.")
-    video = generator.generate_video(prompt, output_path=OUTPUT_PATH, save_video=True)
-    # video = generator.generate_video(prompt, sampling_param=sampling_param, output_path="wan_t2v_videos/")
+    video = generator.generate({
+        "prompt": prompt,
+        "output": {"output_path": OUTPUT_PATH, "save_video": True},
+    })
+    # video = generator.generate({
+    #     "prompt": prompt,
+    #     "inputs": {"image_path": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/astronaut.jpg"},
+    #     "sampling": {"num_frames": 45},
+    #     "output": {"output_path": "wan_t2v_videos/"},
+    # })
 
     # Generate another video with a different prompt, without reloading the
     # model!
@@ -39,7 +42,10 @@ def main():
                "the breeze, enhancing the lion's commanding presence. The tone is vibrant, "
                "embodying the raw energy of the wild. Low angle, steady tracking shot, "
                "cinematic.")
-    video2 = generator.generate_video(prompt2, output_path=OUTPUT_PATH, save_video=True)
+    video2 = generator.generate({
+        "prompt": prompt2,
+        "output": {"output_path": OUTPUT_PATH, "save_video": True},
+    })
 
 
 if __name__ == "__main__":