model: base_learning_rate: 4.0e-05 target: src.model_mesh.MVRecon params: init_ckpt: logs/instant-nerf-large-train/checkpoints/last.ckpt input_size: 320 render_size: 512 lrm_generator_config: target: src.models.lrm_mesh.InstantMesh params: encoder_feat_dim: 768 encoder_freeze: false encoder_model_name: facebook/dino-vitb16 transformer_dim: 1024 transformer_layers: 16 transformer_heads: 16 triplane_low_res: 32 triplane_high_res: 64 triplane_dim: 80 rendering_samples_per_ray: 128 grid_res: 128 grid_scale: 2.1 data: target: src.data.objaverse.DataModuleFromConfig params: batch_size: 2 num_workers: 8 train: target: src.data.objaverse.ObjaverseData params: root_dir: data/objaverse meta_fname: filtered_obj_name.json input_image_dir: rendering_random_32views target_image_dir: rendering_random_32views input_view_num: 6 target_view_num: 4 total_view_n: 32 fov: 50 camera_rotation: true validation: false validation: target: src.data.objaverse.ValidationData params: root_dir: data/valid_samples input_view_num: 6 input_image_size: 320 fov: 30 lightning: modelcheckpoint: params: every_n_train_steps: 2000 save_top_k: -1 save_last: true callbacks: {} trainer: benchmark: true max_epochs: -1 val_check_interval: 1000 num_sanity_val_steps: 0 accumulate_grad_batches: 1 check_val_every_n_epoch: null # if not set this, validation does not run