nodes/hao-ai-lab-FastVideo
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

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

Browse Source
This commit is contained in:
William Lin
2026-08-08 22:24:17 -07:00
committed by GitHub
parent 6eb95693a1
commit 9028953625
582 changed files with 19387 additions and 23526 deletions
Download Patch File Download Diff File Expand all files Collapse all files
examples/inference/basic/basic_wan2_2.py
+25 -16
View File
@@ -3,6 +3,8 @@ from fastvideo import VideoGenerator
# from fastvideo.api.sampling_param import SamplingParam
OUTPUT_PATH = "video_samples_wan2_2_14B_t2v"
def main():
# FastVideo will automatically use the optimal default arguments for the
# model.
@@ -12,8 +14,8 @@ def main():
"Wan-AI/Wan2.2-T2V-A14B-Diffusers",
# FastVideo will automatically handle distributed setup
num_gpus=2,
use_fsdp_inference=False, # set to True if GPU is out of memory
dit_cpu_offload=True, # DiT need to be offloaded for MoE
use_fsdp_inference=False, # set to True if GPU is out of memory
dit_cpu_offload=True, # DiT need to be offloaded for MoE
vae_cpu_offload=False,
text_encoder_cpu_offload=True,
# Set pin_cpu_memory to false if CPU RAM is limited and there're no frequent CPU-GPU transfer
@@ -25,24 +27,31 @@ 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."
)
_ = generator.generate_video(prompt, output_path=OUTPUT_PATH, save_video=True, height=720, width=1280, num_frames=81)
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.")
_ = generator.generate_video(prompt,
output_path=OUTPUT_PATH,
save_video=True,
height=720,
width=1280,
num_frames=81)
# 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.")
_ = generator.generate_video(prompt2, output_path=OUTPUT_PATH, save_video=True, height=720, width=1280, num_frames=81)
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.")
_ = generator.generate_video(prompt2,
output_path=OUTPUT_PATH,
save_video=True,
height=720,
width=1280,
num_frames=81)
if __name__ == "__main__":
main()
main()