from fastvideo import VideoGenerator from fastvideo.api import (EngineConfig, GenerationRequest, GeneratorConfig, OffloadConfig, OutputConfig, SamplingConfig) OUTPUT_PATH = "video_samples_kandinsky5_t2v" def main(): generator = VideoGenerator.from_config( GeneratorConfig( model_path="kandinskylab/Kandinsky-5.0-T2V-Lite-sft-5s-Diffusers", # "kandinskylab/Kandinsky-5.0-T2V-Pro-sft-5s-Diffusers" # "kandinskylab/Kandinsky-5.0-T2V-Lite-distilled16steps-5s-Diffusers" # "kandinskylab/Kandinsky-5.0-T2V-Pro-distilled-5s-Diffusers" engine=EngineConfig( num_gpus=1, use_fsdp_inference=False, offload=OffloadConfig( dit=False, vae=False, text_encoder=True, pin_cpu_memory=True, # image_encoder=False, ), ), )) 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." ) _ = generator.generate( GenerationRequest( prompt=prompt, sampling=SamplingConfig(height=512, width=768, num_frames=121), output=OutputConfig(output_path=OUTPUT_PATH, save_video=True), )) 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.") _ = generator.generate( GenerationRequest( prompt=prompt2, sampling=SamplingConfig(height=512, width=768, num_frames=121), output=OutputConfig(output_path=OUTPUT_PATH, save_video=True), )) if __name__ == "__main__": main()