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
47 lines
1.8 KiB
Python
47 lines
1.8 KiB
Python
from fastvideo import VideoGenerator, PipelineConfig
|
|
|
|
|
|
def main():
|
|
config = PipelineConfig.from_pretrained("Wan-AI/Wan2.1-T2V-1.3B-Diffusers")
|
|
config.text_encoder_precisions = ["fp16"]
|
|
|
|
generator = VideoGenerator.from_config({
|
|
"model_path": "Wan-AI/Wan2.1-T2V-1.3B-Diffusers",
|
|
"engine": {
|
|
"use_fsdp_inference": False, # Disable FSDP for MPS
|
|
"offload": {
|
|
"dit": True,
|
|
"text_encoder": True,
|
|
"pin_cpu_memory": True,
|
|
},
|
|
"disable_autocast": False,
|
|
"num_gpus": 1,
|
|
},
|
|
"pipeline": {"experimental": {"pipeline_config": config}},
|
|
})
|
|
|
|
# Create sampling parameters with reduced number of frames
|
|
sampling = {
|
|
"num_frames": 25, # Reduce from default 81 to 25 frames bc we have to use the SDPA attn backend for mps
|
|
"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({"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({"prompt": prompt2, "sampling": sampling})
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|