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configs/image.yaml

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+### Input
+# input rgba image path (default to None, can be load in GUI too)
+input: 
+# input text prompt (default to None, can be input in GUI too)
+prompt:
+# input mesh for stage 2 (auto-search from stage 1 output path if None)
+mesh:
+# estimated elevation angle for input image 
+elevation: 0
+# reference image resolution
+ref_size: 256
+# density thresh for mesh extraction
+density_thresh: 1
+
+### Output
+outdir: logs
+mesh_format: obj
+save_path: ???
+
+### Training
+# guidance loss weights (0 to disable)
+lambda_sd: 0
+lambda_zero123: 1
+# training batch size per iter
+batch_size: 1
+# training iterations for stage 1
+iters: 500
+# training iterations for stage 2
+iters_refine: 50
+# training camera radius
+radius: 2
+# training camera fovy
+fovy: 49.1 # align with zero123 rendering setting (ref: https://github.com/cvlab-columbia/zero123/blob/main/objaverse-rendering/scripts/blender_script.py#L61
+# checkpoint to load for stage 1 (should be a ply file)
+load:
+# whether allow geom training in stage 2
+train_geo: False
+# prob to invert background color during training (0 = always black, 1 = always white)
+invert_bg_prob: 0.5
+
+
+### GUI
+gui: False
+force_cuda_rast: False
+# GUI resolution
+H: 800
+W: 800
+
+### Gaussian splatting
+num_pts: 5000
+sh_degree: 0
+position_lr_init: 0.001
+position_lr_final: 0.00002
+position_lr_delay_mult: 0.02
+position_lr_max_steps: 500
+feature_lr: 0.01
+opacity_lr: 0.05
+scaling_lr: 0.005
+rotation_lr: 0.005
+percent_dense: 0.1
+density_start_iter: 100
+density_end_iter: 3000
+densification_interval: 100
+opacity_reset_interval: 700
+densify_grad_threshold: 0.5
+
+### Textured Mesh
+geom_lr: 0.0001
+texture_lr: 0.2

configs/text.yaml

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+### Input
+# input rgba image path (default to None, can be load in GUI too)
+input: 
+# input text prompt (default to None, can be input in GUI too)
+prompt:
+# input mesh for stage 2 (auto-search from stage 1 output path if None)
+mesh:
+# estimated elevation angle for input image 
+elevation: 0
+# reference image resolution
+ref_size: 256
+# density thresh for mesh extraction
+density_thresh: 1
+
+### Output
+outdir: logs
+mesh_format: obj
+save_path: ???
+
+### Training
+# guidance loss weights (0 to disable)
+lambda_sd: 1
+lambda_zero123: 0
+# training batch size per iter
+batch_size: 1
+# training iterations for stage 1
+iters: 500
+# training iterations for stage 2
+iters_refine: 50
+# training camera radius
+radius: 2.5
+# training camera fovy
+fovy: 49.1
+# checkpoint to load for stage 1 (should be a ply file)
+load:
+# whether allow geom training in stage 2
+train_geo: False
+# prob to invert background color during training (0 = always black, 1 = always white)
+invert_bg_prob: 0.5
+
+### GUI
+gui: False
+force_cuda_rast: False
+# GUI resolution
+H: 800
+W: 800
+
+### Gaussian splatting
+num_pts: 1000
+sh_degree: 0
+position_lr_init: 0.001
+position_lr_final: 0.00002
+position_lr_delay_mult: 0.02
+position_lr_max_steps: 500
+feature_lr: 0.01
+opacity_lr: 0.05
+scaling_lr: 0.005
+rotation_lr: 0.005
+percent_dense: 0.1
+density_start_iter: 100
+density_end_iter: 3000
+densification_interval: 50
+opacity_reset_interval: 700
+densify_grad_threshold: 0.01
+
+### Textured Mesh
+geom_lr: 0.0001
+texture_lr: 0.2