[Feature] Add DMD inference pipeline (#637)

Co-authored-by: SolitaryThinker <wlsaidhi@gmail.com>

examples/inference/basic/basic_dmd.py

@@ -0,0 +1,46 @@
+import os
+import time
+from fastvideo import VideoGenerator
+
+from fastvideo.v1.configs.sample import SamplingParam
+
+OUTPUT_PATH = "video_samples_dmd2"
+def main():
+    os.environ["FASTVIDEO_ATTENTION_BACKEND"] = "VIDEO_SPARSE_ATTN"
+
+    load_start_time = time.perf_counter()
+    model_name = "FastVideo/FastWan2.1-T2V-1.3B-Diffusers"
+    generator = VideoGenerator.from_pretrained(
+        model_name,
+        # FastVideo will automatically handle distributed setup
+        num_gpus=1,
+        use_fsdp_inference=True,
+        # Adjust these offload parameters if you have < 32GB of VRAM
+        text_encoder_offload=False,
+        use_cpu_offload=False,
+        VSA_sparsity=0.8,
+    )
+    load_end_time = time.perf_counter()
+    load_time = load_end_time - load_start_time
+
+
+    sampling_param = SamplingParam.from_pretrained(model_name)
+
+    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."
+    )
+    start_time = time.perf_counter()
+    video = generator.generate_video(prompt, output_path=OUTPUT_PATH, save_video=True, sampling_param=sampling_param)
+    end_time = time.perf_counter()
+    gen_time = end_time - start_time
+    e2e_gen_time = end_time - start_time
+
+    print(f"Time taken to load model: {load_time} seconds")
+    print(f"Time taken to generate video: {gen_time} seconds")
+    print(f"Time taken for e2e generation: {e2e_gen_time} seconds")
+
+
+if __name__ == "__main__":
+    main()