import torch import kiui import numpy as np import argparse from pipeline_mvdream import MVDreamPipeline pipe = MVDreamPipeline.from_pretrained( # "./weights_mvdream", # local weights 'ashawkey/mvdream-sd2.1-diffusers', # remote weights torch_dtype=torch.float16, trust_remote_code=True, ) pipe = pipe.to("cuda") parser = argparse.ArgumentParser(description="MVDream") parser.add_argument("prompt", type=str, default="a cute owl 3d model") args = parser.parse_args() for i in range(5): image = pipe(args.prompt, guidance_scale=5, num_inference_steps=30, elevation=0) grid = np.concatenate( [ np.concatenate([image[0], image[2]], axis=0), np.concatenate([image[1], image[3]], axis=0), ], axis=1, ) # kiui.vis.plot_image(grid) kiui.write_image(f'test_mvdream_{i}.jpg', grid)