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slat_vae_dec_mesh_swin8_B_64l8_fp16.json
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{
"models": {
"decoder": {
"name": "ElasticSLatMeshDecoder",
"args": {
"resolution": 64,
"model_channels": 768,
"latent_channels": 8,
"num_blocks": 12,
"num_heads": 12,
"mlp_ratio": 4,
"attn_mode": "swin",
"window_size": 8,
"use_fp16": true,
"representation_config": {
"use_color": true
}
}
}
},
"dataset": {
"name": "Slat2RenderGeo",
"args": {
"image_size": 512,
"latent_model": "dinov2_vitl14_reg_slat_enc_swin8_B_64l8_fp16",
"min_aesthetic_score": 4.5,
"max_num_voxels": 32768
}
},
"trainer": {
"name": "SLatVaeMeshDecoderTrainer",
"args": {
"max_steps": 1000000,
"batch_size_per_gpu": 4,
"batch_split": 4,
"optimizer": {
"name": "AdamW",
"args": {
"lr": 1e-4,
"weight_decay": 0.0
}
},
"ema_rate": [
0.9999
],
"fp16_mode": "inflat_all",
"fp16_scale_growth": 0.001,
"elastic": {
"name": "LinearMemoryController",
"args": {
"target_ratio": 0.75,
"max_mem_ratio_start": 0.5
}
},
"grad_clip": {
"name": "AdaptiveGradClipper",
"args": {
"max_norm": 1.0,
"clip_percentile": 95
}
},
"i_log": 500,
"i_sample": 10000,
"i_save": 10000,
"lambda_ssim": 0.2,
"lambda_lpips": 0.2,
"lambda_tsdf": 0.01,
"lambda_depth": 10.0,
"lambda_color": 0.1,
"depth_loss_type": "smooth_l1"
}
}
}