42 lines
1.6 KiB
Python
Executable File
42 lines
1.6 KiB
Python
Executable File
import os
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# os.environ['ATTN_BACKEND'] = 'xformers' # Can be 'flash-attn' or 'xformers', default is 'flash-attn'
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os.environ['SPCONV_ALGO'] = 'native' # Can be 'native' or 'auto', default is 'auto'.
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# 'auto' is faster but will do benchmarking at the beginning.
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# Recommended to set to 'native' if run only once.
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import imageio
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import numpy as np
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import open3d as o3d
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from trellis.pipelines import TrellisTextTo3DPipeline
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from trellis.utils import render_utils, postprocessing_utils
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# Load a pipeline from a model folder or a Hugging Face model hub.
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pipeline = TrellisTextTo3DPipeline.from_pretrained("microsoft/TRELLIS-text-xlarge")
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pipeline.cuda()
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# Load mesh to make variants
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base_mesh = o3d.io.read_triangle_mesh("assets/T.ply")
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# Run the pipeline
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outputs = pipeline.run_variant(
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base_mesh,
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"Rugged, metallic texture with orange and white paint finish, suggesting a durable, industrial feel.",
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seed=1,
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# Optional parameters
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# slat_sampler_params={
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# "steps": 12,
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# "cfg_strength": 7.5,
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# },
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)
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# outputs is a dictionary containing generated 3D assets in different formats:
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# - outputs['gaussian']: a list of 3D Gaussians
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# - outputs['radiance_field']: a list of radiance fields
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# - outputs['mesh']: a list of meshes
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# Render the outputs
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video_gs = render_utils.render_video(outputs['gaussian'][0])['color']
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video_mesh = render_utils.render_video(outputs['mesh'][0])['normal']
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video = [np.concatenate([frame_gs, frame_mesh], axis=1) for frame_gs, frame_mesh in zip(video_gs, video_mesh)]
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imageio.mimsave("sample_variant.mp4", video, fps=30)
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