Update app.py
Browse files
app.py
CHANGED
@@ -111,7 +111,7 @@ state_dict = torch.load(model_ckpt_path, map_location='cpu')['state_dict']
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state_dict = {k[14:]: v for k, v in state_dict.items() if k.startswith('lrm_generator.')}
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model.load_state_dict(state_dict, strict=True)
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model = model.to(device_1)
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-
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@spaces.GPU
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def lrm_reconstructions(image, input_cameras, save_path=None, name="temp", export_texmap=False, if_save_video=False):
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images = image.unsqueeze(0).to(device_1)
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@@ -199,7 +199,8 @@ def local_normal_global_transform(local_normal_images, azimuths_deg, elevations_
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@spaces.GPU(duration=120)
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def generate_multi_view_images(prompt, seed):
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# torch.cuda.empty_cache()
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generator = torch.manual_seed(seed)
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with torch.no_grad():
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images = flux_pipe(
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prompt=prompt,
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state_dict = {k[14:]: v for k, v in state_dict.items() if k.startswith('lrm_generator.')}
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model.load_state_dict(state_dict, strict=True)
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model = model.to(device_1)
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torch.cuda.empty_cache()
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@spaces.GPU
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def lrm_reconstructions(image, input_cameras, save_path=None, name="temp", export_texmap=False, if_save_video=False):
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images = image.unsqueeze(0).to(device_1)
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@spaces.GPU(duration=120)
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def generate_multi_view_images(prompt, seed):
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# torch.cuda.empty_cache()
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# generator = torch.manual_seed(seed)
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generator = torch.Generator().manual_seed(seed)
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with torch.no_grad():
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images = flux_pipe(
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prompt=prompt,
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