Files
hao-ai-lab-FastVideo/examples/inference/basic/basic_kandinsky5_i2v.py
T
Will LinandClaude Fable 5 539884b9ba [bugfix]: keep kandinsky5 example text encoders on GPU
text_encoder_cpu_offload=True makes the Qwen encoder compute on CPU, where
flash-attn has no kernels; with flash_attn installed both examples crash in
the first text-encoding forward. The offloaded path only worked in envs
without flash_attn via the silent SDPA fallback.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-07 14:35:48 -07:00

38 lines
921 B
Python

from fastvideo import VideoGenerator
OUTPUT_PATH = "video_samples_kandinsky5_i2v"
IMAGE_PATH = "assets/girl.png"
def main():
generator = VideoGenerator.from_pretrained(
"kandinskylab/Kandinsky-5.0-I2V-Pro-distilled-5s-Diffusers",
# "kandinskylab/Kandinsky-5.0-I2V-Pro-sft-5s-Diffusers"
# "kandinskylab/Kandinsky-5.0-I2V-Lite-5s-Diffusers"
num_gpus=1,
use_fsdp_inference=False,
dit_cpu_offload=False,
vae_cpu_offload=False,
text_encoder_cpu_offload=False,
pin_cpu_memory=True,
# image_encoder_cpu_offload=False,
)
prompt = (
"A woman stands up and walks away"
)
_ = generator.generate_video(
prompt,
image_path=IMAGE_PATH,
output_path=OUTPUT_PATH,
save_video=True,
height=1024,
width=1024,
num_frames=121,
)
if __name__ == "__main__":
main()