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import torch |
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import kiui |
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import numpy as np |
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import argparse |
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from mvdream.pipeline_mvdream import MVDreamStableDiffusionPipeline |
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pipe = MVDreamStableDiffusionPipeline.from_pretrained( |
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"ashawkey/mvdream-sd2.1-diffusers", |
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torch_dtype=torch.float16 |
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) |
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pipe = pipe.to("cuda") |
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parser = argparse.ArgumentParser(description="MVDream") |
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parser.add_argument("prompt", type=str, default="a cute owl 3d model") |
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args = parser.parse_args() |
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while True: |
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image = pipe(args.prompt) |
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grid = np.concatenate( |
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[ |
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np.concatenate([image[0], image[2]], axis=0), |
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np.concatenate([image[1], image[3]], axis=0), |
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], |
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axis=1, |
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) |
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kiui.vis.plot_image(grid) |
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