This example demonstrates how to use LightX2V with Wan2.2 model for I2V generation.
--linear_type int8 \
"""
--non_linear_dtype torch.bfloat16 \
--model_type wan_dit \
fromlightx2vimportLightX2VPipeline
--quantized\
--save_by_block
# Initialize pipeline for Wan2.2 I2V task
# For wan2.1, use model_cls="wan2.1"
pipe=LightX2VPipeline(
model_path="/path/to/Wan2.2-I2V-A14B",
model_cls="wan2.2_moe",
task="i2v",
)
# Alternative: create generator from config JSON file
# pipe.create_generator(
# config_json="configs/wan22/wan_moe_i2v.json"
# )
# Enable offloading to significantly reduce VRAM usage with minimal speed impact
# Suitable for RTX 30/40/50 consumer GPUs
pipe.enable_offload(
cpu_offload=True,
offload_granularity="block",# For Wan models, supports both "block" and "phase"
text_encoder_offload=True,
image_encoder_offload=False,
vae_offload=False,
)
# Create generator manually with specified parameters
pipe.create_generator(
attn_mode="sage_attn2",
infer_steps=40,
height=480,# Can be set to 720 for higher resolution
width=832,# Can be set to 1280 for higher resolution
num_frames=81,
guidance_scale=[3.5,3.5],# For wan2.1, guidance_scale is a scalar (e.g., 5.0)
sample_shift=5.0,
)
# Generation parameters
seed=42
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."
