43 lines
1.9 KiB
Python
43 lines
1.9 KiB
Python
from fastvideo import VideoGenerator
|
|
import json
|
|
# from fastvideo.api.sampling_param import SamplingParam
|
|
|
|
OUTPUT_PATH = "video_samples_hy15_1080p"
|
|
|
|
|
|
def main():
|
|
# FastVideo will automatically use the optimal default arguments for the
|
|
# model.
|
|
# If a local path is provided, FastVideo will make a best effort
|
|
# attempt to identify the optimal arguments.
|
|
generator = VideoGenerator.from_pretrained(
|
|
"weizhou03/HunyuanVideo-1.5-Diffusers-1080p-2SR", # 480p -> 720p -> 1080p
|
|
# or "weizhou03/HunyuanVideo-1.5-Diffusers-1080p" # 720p -> 1080p
|
|
# FastVideo will automatically handle distributed setup
|
|
num_gpus=1,
|
|
use_fsdp_inference=False, # set to True if GPU is out of memory
|
|
dit_cpu_offload=True,
|
|
vae_cpu_offload=True,
|
|
text_encoder_cpu_offload=True,
|
|
pin_cpu_memory=True, # set to false if low CPU RAM or hit obscure "CUDA error: Invalid argument"
|
|
# image_encoder_cpu_offload=False,
|
|
)
|
|
|
|
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, negative_prompt="")
|
|
|
|
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, negative_prompt="")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|