[misc] yapf pass under CI's interpreter (3.12) + pin hook language_version (#1702)

examples/inference/basic/basic.py

@@ -3,6 +3,8 @@ from fastvideo import VideoGenerator
 # from fastvideo.api.sampling_param import SamplingParam
 
 OUTPUT_PATH = "video_samples"
+
+
 def main():
     # FastVideo will automatically use the optimal default arguments for the
     # model.
@@ -12,11 +14,11 @@ def main():
         "Wan-AI/Wan2.1-T2V-1.3B-Diffusers",
         # FastVideo will automatically handle distributed setup
         num_gpus=1,
-        use_fsdp_inference=False, # set to True if GPU is out of memory
+        use_fsdp_inference=False,  # set to True if GPU is out of memory
         dit_cpu_offload=False,
         vae_cpu_offload=False,
         text_encoder_cpu_offload=True,
-        pin_cpu_memory=True, # set to false if low CPU RAM or hit obscure "CUDA error: Invalid argument"
+        pin_cpu_memory=True,  # set to false if low CPU RAM or hit obscure "CUDA error: Invalid argument"
         # image_encoder_cpu_offload=False,
     )
 
@@ -24,22 +26,19 @@ def main():
     # 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."
-    )
+    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/")
 
     # Generate another video with a different prompt, without reloading the
     # model!
-    prompt2 = (
-        "A majestic lion strides across the golden savanna, its powerful frame "
-        "glistening under the warm afternoon sun. The tall grass ripples gently in "
-        "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.")
+    prompt2 = ("A majestic lion strides across the golden savanna, its powerful frame "
+               "glistening under the warm afternoon sun. The tall grass ripples gently in "
+               "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)