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download ckpt
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app.py
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@@ -11,8 +11,12 @@ from safetensors.torch import load_file
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import rembg
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import gradio as gr
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os.system("pip install ./diff-gaussian-rasterization")
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from diff_gaussian_rasterization import GaussianRasterizer
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import kiui
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from kiui.op import recenter
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@@ -29,7 +33,19 @@ IMAGENET_DEFAULT_STD = (0.229, 0.224, 0.225)
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GRADIO_VIDEO_PATH = 'gradio_output.mp4'
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GRADIO_PLY_PATH = 'gradio_output.ply'
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opt = tyro.cli(AllConfigs)
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# model
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model = LGM(opt)
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import rembg
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import gradio as gr
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# download checkpoints
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from huggingface_hub import hf_hub_download
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ckpt_path = hf_hub_download(repo_id="ashawkey/LGM", filename="model_fp16.safetensors")
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# NOTE: no -e... else it's not working!
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os.system("pip install ./diff-gaussian-rasterization")
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import kiui
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from kiui.op import recenter
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GRADIO_VIDEO_PATH = 'gradio_output.mp4'
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GRADIO_PLY_PATH = 'gradio_output.ply'
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# opt = tyro.cli(AllConfigs)
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opt = Options(
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input_size=256,
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up_channels=(1024, 1024, 512, 256, 128), # one more decoder
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up_attention=(True, True, True, False, False),
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splat_size=128,
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output_size=512, # render & supervise Gaussians at a higher resolution.
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batch_size=8,
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num_views=8,
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gradient_accumulation_steps=1,
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mixed_precision='bf16',
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resume=ckpt_path,
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)
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# model
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model = LGM(opt)
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