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import torch
import kiui
import numpy as np
import argparse
from pipeline 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)
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