Files
hao-ai-lab-FastVideo/examples/inference/basic/basic_mps.py
T
SolitaryThinker bbbb7ab021 [refactor]: migrate examples/scripts to typed VideoGenerator API; rename api/compat.py to api/translation.py
Move all examples/inference and scripts off the legacy
VideoGenerator.from_pretrained(model, **kwargs) +
generate_video(prompt, **kwargs) surface onto the typed
from_config(GeneratorConfig(...)) + generate(GenerationRequest(...))
convention, including the Kandinsky-5 and DreamX-World examples added
on main after the original migration. git-mv api/compat.py to
api/translation.py ('compat' implied a temporary shim; the forward
translation is its honest permanent role) and repoint all importers,
tests, and doc links.
2026-07-11 03:26:24 -07:00

57 lines
2.0 KiB
Python

from fastvideo import VideoGenerator, PipelineConfig
from fastvideo.api import (
EngineConfig,
GenerationRequest,
GeneratorConfig,
OffloadConfig,
PipelineSelection,
SamplingConfig,
)
def main():
config = PipelineConfig.from_pretrained("Wan-AI/Wan2.1-T2V-1.3B-Diffusers")
config.text_encoder_precisions = ["fp16"]
generator = VideoGenerator.from_config(
GeneratorConfig(
model_path="Wan-AI/Wan2.1-T2V-1.3B-Diffusers",
engine=EngineConfig(
num_gpus=1,
use_fsdp_inference=False, # Disable FSDP for MPS
disable_autocast=False,
offload=OffloadConfig(
dit=True,
text_encoder=True,
pin_cpu_memory=True,
),
),
pipeline=PipelineSelection(
experimental={"pipeline_config": config},
),
)
)
# Reduce from default 81 to 25 frames bc we have to use the SDPA attn backend for mps
sampling = SamplingConfig(
num_frames=25,
height=256,
width=256,
)
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(GenerationRequest(prompt=prompt, sampling=sampling))
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(GenerationRequest(prompt=prompt2, sampling=sampling))
if __name__ == "__main__":
main()