Files
hao-ai-lab-FastVideo/examples/inference/basic/basic_wan2_2.py
T
Davids048andClaude Opus 5.5 f571621ae7 [refactor]: move examples to generate(request) and from_config
Every example calls VideoGenerator.generate with a nested request instead
of generate_video keywords, and passes settings outside the from_pretrained
convenience keywords through VideoGenerator.from_config at their typed
paths. Each request and generator config equals what the keyword call built.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012M91wnVFmPEvJ9h39r5BH7
2026-10-03 02:14:36 +00:00

64 lines
2.3 KiB
Python

from fastvideo import VideoGenerator
OUTPUT_PATH = "video_samples_wan2_2_14B_t2v"
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(
"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
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
pin_cpu_memory=True,
# image_encoder_cpu_offload=False,
)
# 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({
"prompt": prompt,
"sampling": {
"height": 720,
"width": 1280,
"num_frames": 81,
},
"output": {
"output_path": OUTPUT_PATH,
"save_video": True,
},
})
# 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({
"prompt": prompt2,
"sampling": {
"height": 720,
"width": 1280,
"num_frames": 81,
},
"output": {
"output_path": OUTPUT_PATH,
"save_video": True,
},
})
if __name__ == "__main__":
main()