Davids048andClaude Opus 5.5
f571621ae7
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
45 lines
1.5 KiB
Python
45 lines
1.5 KiB
Python
import os
|
|
|
|
# Set SLA attention backend BEFORE fastvideo imports
|
|
os.environ["FASTVIDEO_ATTENTION_BACKEND"] = "SLA_ATTN"
|
|
|
|
from fastvideo import VideoGenerator
|
|
|
|
# Use local model path
|
|
MODEL_PATH = "loayrashid/TurboWan2.2-I2V-A14B-Diffusers"
|
|
OUTPUT_PATH = "video_samples_turbodiffusion_i2v"
|
|
|
|
|
|
def main() -> None:
|
|
# TurboDiffusion I2V: 1-4 step image-to-video generation
|
|
generator = VideoGenerator.from_pretrained(
|
|
MODEL_PATH,
|
|
num_gpus=2,
|
|
)
|
|
|
|
# Example prompt and image for I2V
|
|
prompt = (
|
|
"Summer beach vacation style, a white cat wearing sunglasses sits on a surfboard. The fluffy-furred feline gazes directly at the camera with a relaxed expression. Blurred beach scenery forms the background featuring crystal-clear waters, distant green hills, and a blue sky dotted with white clouds. The cat assumes a naturally relaxed posture, as if savoring the sea breeze and warm sunlight. A close-up shot highlights the feline's intricate details and the refreshing atmosphere of the seaside."
|
|
)
|
|
|
|
# Use an example image path
|
|
image_path = "https://huggingface.co/datasets/YiYiXu/testing-images/resolve/main/wan_i2v_input.JPG"
|
|
|
|
video = generator.generate({
|
|
"prompt": prompt,
|
|
"inputs": {
|
|
"image_path": image_path,
|
|
},
|
|
"sampling": {
|
|
"seed": 42,
|
|
},
|
|
"output": {
|
|
"output_path": OUTPUT_PATH,
|
|
"save_video": True,
|
|
},
|
|
})
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|