checkpoint

examples/inference/basic/basic.py

@@ -1,6 +1,6 @@
 from fastvideo import VideoGenerator
-
-# from fastvideo.configs.sample import SamplingParam
+import time
+from fastvideo.configs.sample import SamplingParam
 
 OUTPUT_PATH = "video_samples"
 def main():
@@ -9,9 +9,10 @@ def main():
     # If a local path is provided, FastVideo will make a best effort
     # attempt to identify the optimal arguments.
     generator = VideoGenerator.from_pretrained(
+        # "weizhou03/Wan2.1-Fun-1.3B-InP-Diffusers",
         "Wan-AI/Wan2.1-T2V-1.3B-Diffusers",
         # FastVideo will automatically handle distributed setup
-        num_gpus=2,
+        num_gpus=1,
         use_fsdp_inference=True,
         dit_cpu_offload=False,
         vae_cpu_offload=False,
@@ -19,7 +20,16 @@ def main():
         # image_encoder_cpu_offload=False,
     )
 
-    # sampling_param = SamplingParam.from_pretrained("Wan-AI/Wan2.1-T2V-1.3B-Diffusers")
+    sampling_param = SamplingParam.from_pretrained("Wan-AI/Wan2.1-T2V-1.3B-Diffusers")
+    sampling_param.num_inference_steps = 50
+
+    # with open('Prompts.txt', 'r') as file:
+    #     prompts = file.readlines()
+
+    # for prompt in prompts:
+    #     prompt = prompt.strip()
+    #     video = generator.generate_video(prompt, output_path=OUTPUT_PATH, save_video=True, sampling_param=sampling_param)
+        
     # 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
@@ -28,7 +38,10 @@ def main():
         "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)
+    end_time = time.perf_counter()
+    gen_time = end_time - start_time
     # video = generator.generate_video(prompt, sampling_param=sampling_param, output_path="wan_t2v_videos/")
 
     # Generate another video with a different prompt, without reloading the
@@ -39,7 +52,12 @@ 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.")
+    start_time = time.perf_counter()
     video2 = generator.generate_video(prompt2, output_path=OUTPUT_PATH, save_video=True)
+    end_time = time.perf_counter()
+    gen_time2 = end_time - start_time
+    print(f"Time taken to generate video: {gen_time} seconds")
+    print(f"Time taken to generate video: {gen_time2} seconds")
 
 
 if __name__ == "__main__":