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Rename app2.py to app.py
Browse files- app2.py → app.py +9 -5
app2.py → app.py
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@@ -17,12 +17,16 @@ from ldm.models.diffusion.ddpm import LatentDiffusion
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model = create_model('./models/cldm_v21_512_latctrl_coltrans.yaml').cpu()
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model.load_state_dict(load_state_dict('xywwww/scene_diffusion/checkpoints/epoch=25-step=112553.ckpt', location='cuda'),strict=False)
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pipeline = TrellisImageTo3DPipeline.from_pretrained("JeffreyXiang/TRELLIS-image-large")
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model = model.cuda()
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ddim_sampler = DDIMSampler(model)
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# model = create_model('./models/cldm_v21_512_latctrl_coltrans.yaml').cpu()
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# # /checkpoints/epoch=25-step=112553.ckpt
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# pipeline = TrellisImageTo3DPipeline.from_pretrained("xywwww/scene_diffusion/checkpoints/epoch=25-step=112553.ckpt")
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# model.load_state_dict(load_state_dict('xywwww/scene_diffusion/checkpoints/epoch=25-step=112553.ckpt', location='cuda'),strict=False)
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# pipeline = TrellisImageTo3DPipeline.from_pretrained("JeffreyXiang/TRELLIS-image-large")
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# model = model.cuda()
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# ddim_sampler = DDIMSampler(model)
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model = create_model('./models/cldm_v21_512_latctrl_coltrans.yaml').cpu()
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ckpt = hf_hub_download(repo_id="xywwww/scene_diffusion", filename="checkpoints/epoch=25-step=112553.ckpt")
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model.load_state_dict(load_state_dict(ckpt), strict=False)
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ddim_sampler = DDIMSampler(model)
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