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from diffusers import MochiPipeline
from diffusers.utils import export_to_video
import torch

pipe = MochiPipeline.from_pretrained("genmo/mochi-1-preview", torch_dtype = torch.float16)
pipe.load_lora_weights("svjack/mochi_mickey_mice_early_lora")
pipe.enable_model_cpu_offload()
pipe.enable_sequential_cpu_offload()
pipe.vae.enable_slicing()
pipe.vae.enable_tiling()

i = 50
generator = torch.Generator("cpu").manual_seed(i) 
pipeline_args = {
        "prompt": "A black and white animated scene unfolds with two anthropomorphic Mickey Mice sitting at a table, each holding a glass of wine. The musical notes and symbols float around them, suggesting a playful environment. One Mickey leans forward in curiosity, while the other remains still, sipping his drink. The dynamics shift as one Mickey raises his glass in a toast, and the other responds by clinking glasses. The scene captures the camaraderie and enjoyment between the two characters in a whimsical, animated setting, emphasizing their interactions and emotions.",
        "guidance_scale": 6.0,
        "num_inference_steps": 64,
        "height": 480,
        "width": 848,
        "max_sequence_length": 256,
        "output_type": "np",
        "num_frames": 19,
        "generator": generator
    }
    
video = pipe(**pipeline_args).frames[0]
export_to_video(video, "black_white_drinking_scene.mp4")
from IPython import display 
display.clear_output(wait = True)
display.Video("black_white_drinking_scene.mp4")

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