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

DreamVerse, FastVideo Studio, the ComfyUI node, the README, and the
inference docs call VideoGenerator.generate with nested requests and
VideoGenerator.from_config with typed configs, and read GenerationResult
attributes instead of result dict keys.

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

docs/inference/inference_quick_start.md

@@ -45,11 +45,13 @@ def main():
     prompt = "A curious raccoon peers through a vibrant field of yellow sunflowers, its eyes wide with interest."
 
     # Generate the video
-    video = generator.generate_video(
-        prompt,
-        output_path="my_videos/",  # Controls where videos are saved
-        save_video=True
-    )
+    video = generator.generate({
+        "prompt": prompt,
+        "output": {
+            "output_path": "my_videos/",  # Controls where videos are saved
+            "save_video": True,
+        },
+    })
 
 if __name__ == '__main__':
     main()
@@ -75,23 +77,24 @@ Please see the [support matrix](support_matrix.md) for the list of supported mod
 You can generate a video starting from an initial image:
 
 ```python
-from fastvideo import VideoGenerator, SamplingParam
+from fastvideo import VideoGenerator
 
 def main():
     # Create the generator
     model_name = "Wan-AI/Wan2.1-I2V-14B-480P-Diffusers"
     generator = VideoGenerator.from_pretrained(model_name, num_gpus=1)
 
-    # Set up parameters with an initial image
-    sampling_param = SamplingParam.from_pretrained(model_name)
-    sampling_param.image_path = "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/astronaut.jpg"
-    sampling_param.num_frames = 107
-
     # Generate video based on the image
     prompt = "A photograph coming to life with gentle movement"
-    generator.generate_video(prompt, sampling_param=sampling_param,
-                             output_path="my_videos/",
-                             save_video=True)
+    generator.generate({
+        "prompt": prompt,
+        # Set up parameters with an initial image
+        "inputs": {
+            "image_path": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/astronaut.jpg",
+        },
+        "sampling": {"num_frames": 107},
+        "output": {"output_path": "my_videos/", "save_video": True},
+    })
 
 if __name__ == '__main__':
     main()