Image-to-3D
JasonYinnnn commited on
Commit
4985d19
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1 Parent(s): f7c14cd

upload ckpts

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Upload pre-trained ckpts of 3D-Fixer.

ckpts/scene_slat_flow_img_dit_L_64l8p2_fp16.json ADDED
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+ {
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+ "name": "SceneSLatFlowModel",
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+ "args": {
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+ "resolution": 64,
5
+ "in_channels": 8,
6
+ "out_channels": 8,
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+ "model_channels": 1024,
8
+ "cond_channels": 1024,
9
+ "cond_slat_channels": 32,
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+ "num_blocks": 12,
11
+ "num_heads": 16,
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+ "mlp_ratio": 4,
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+ "patch_size": 2,
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+ "num_io_res_blocks": 2,
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+ "io_block_channels": [128],
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+ "pe_mode": "ape",
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+ "qk_rms_norm": true,
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+ "use_fp16": true
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+ }
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+ }
ckpts/scene_ss_coarse_flow_img_dit_L_16l8_fp16.json ADDED
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+ {
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+ "name": "SceneSparseStructureFlowModule",
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+ "args": {
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+ "resolution": 16,
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+ "in_channels": 8,
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+ "out_channels": 8,
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+ "model_channels": 1024,
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+ "cond_channels": 1024,
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+ "num_blocks": 12,
10
+ "num_heads": 16,
11
+ "mlp_ratio": 4,
12
+ "patch_size": 1,
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+ "pe_mode": "ape",
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+ "qk_rms_norm": true,
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+ "use_fp16": true
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+ }
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+ }
ckpts/scene_ss_fine_flow_img_dit_L_16l8_fp16.json ADDED
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+ {
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+ "name": "SceneSparseStructureFlowModule",
3
+ "args": {
4
+ "resolution": 16,
5
+ "in_channels": 8,
6
+ "out_channels": 8,
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+ "model_channels": 1024,
8
+ "cond_channels": 1024,
9
+ "num_blocks": 12,
10
+ "num_heads": 16,
11
+ "mlp_ratio": 4,
12
+ "patch_size": 1,
13
+ "pe_mode": "ape",
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+ "qk_rms_norm": true,
15
+ "use_fp16": true
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+ }
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+ }
ckpts/slat_dec_gs_swin8_B_64l8gs32_fp16.json ADDED
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+ {
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+ "name": "SLatGaussianDecoder",
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+ "args": {
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+ "resolution": 64,
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+ "model_channels": 768,
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+ "latent_channels": 8,
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+ "num_blocks": 12,
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+ "num_heads": 12,
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+ "mlp_ratio": 4,
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+ "attn_mode": "swin",
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+ "window_size": 8,
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+ "use_fp16": true,
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+ "representation_config": {
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+ "lr": {
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+ "_xyz": 1.0,
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+ "_features_dc": 1.0,
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+ "_opacity": 1.0,
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+ "_scaling": 1.0,
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+ "_rotation": 0.1
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+ },
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+ "perturb_offset": true,
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+ "voxel_size": 1.5,
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+ "num_gaussians": 32,
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+ "2d_filter_kernel_size": 0.1,
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+ "3d_filter_kernel_size": 9e-4,
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+ "scaling_bias": 4e-3,
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+ "opacity_bias": 0.1,
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+ "scaling_activation": "softplus"
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+ }
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+ }
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+ }
ckpts/slat_dec_mesh_swin8_B_64l8m256c_fp16.json ADDED
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+ {
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+ "name": "SLatMeshDecoder",
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+ "args": {
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+ "resolution": 64,
5
+ "model_channels": 768,
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+ "latent_channels": 8,
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+ "num_blocks": 12,
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+ "num_heads": 12,
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+ "mlp_ratio": 4,
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+ "attn_mode": "swin",
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+ "window_size": 8,
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+ "use_fp16": true,
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+ "representation_config": {
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+ "use_color": true
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+ }
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+ }
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+ }
ckpts/slat_dec_rf_swin8_B_64l8r16_fp16.json ADDED
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+ {
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+ "name": "SLatRadianceFieldDecoder",
3
+ "args": {
4
+ "resolution": 64,
5
+ "model_channels": 768,
6
+ "latent_channels": 8,
7
+ "num_blocks": 12,
8
+ "num_heads": 12,
9
+ "mlp_ratio": 4,
10
+ "attn_mode": "swin",
11
+ "window_size": 8,
12
+ "use_fp16": true,
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+ "representation_config": {
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+ "rank": 16,
15
+ "dim": 8
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+ }
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+ }
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+ }
ckpts/slat_enc_swin8_B_64l8_fp16.json ADDED
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+ {
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+ "name": "SLatEncoder",
3
+ "args": {
4
+ "resolution": 64,
5
+ "in_channels": 1024,
6
+ "model_channels": 768,
7
+ "latent_channels": 8,
8
+ "num_blocks": 12,
9
+ "num_heads": 12,
10
+ "mlp_ratio": 4,
11
+ "attn_mode": "swin",
12
+ "window_size": 8,
13
+ "use_fp16": true
14
+ }
15
+ }
ckpts/slat_flow_img_dit_L_64l8p2_fp16.json ADDED
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+ {
2
+ "name": "SLatFlowModel",
3
+ "args": {
4
+ "resolution": 64,
5
+ "in_channels": 8,
6
+ "out_channels": 8,
7
+ "model_channels": 1024,
8
+ "cond_channels": 1024,
9
+ "num_blocks": 24,
10
+ "num_heads": 16,
11
+ "mlp_ratio": 4,
12
+ "patch_size": 2,
13
+ "num_io_res_blocks": 2,
14
+ "io_block_channels": [128],
15
+ "pe_mode": "ape",
16
+ "qk_rms_norm": true,
17
+ "use_fp16": true
18
+ }
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+ }
ckpts/ss_dec_conv3d_16l8_fp16.json ADDED
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+
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+ {
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+ "name": "SparseStructureDecoder",
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+ "args": {
5
+ "out_channels": 1,
6
+ "latent_channels": 8,
7
+ "num_res_blocks": 2,
8
+ "num_res_blocks_middle": 2,
9
+ "channels": [512, 128, 32],
10
+ "use_fp16": true
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+ }
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+ }
ckpts/ss_enc_conv3d_16l8_fp16.json ADDED
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+
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+ {
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+ "name": "SparseStructureEncoder",
4
+ "args": {
5
+ "in_channels": 1,
6
+ "latent_channels": 8,
7
+ "num_res_blocks": 2,
8
+ "num_res_blocks_middle": 2,
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+ "channels": [32, 128, 512],
10
+ "use_fp16": true
11
+ }
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+ }
ckpts/ss_flow_img_dit_L_16l8_fp16.json ADDED
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1
+ {
2
+ "name": "SparseStructureFlowModel",
3
+ "args": {
4
+ "resolution": 16,
5
+ "in_channels": 8,
6
+ "out_channels": 8,
7
+ "model_channels": 1024,
8
+ "cond_channels": 1024,
9
+ "num_blocks": 24,
10
+ "num_heads": 16,
11
+ "mlp_ratio": 4,
12
+ "patch_size": 1,
13
+ "pe_mode": "ape",
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+ "qk_rms_norm": true,
15
+ "use_fp16": true
16
+ }
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+ }
pipeline.json ADDED
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+ {
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+ "name": "ThreeDFixerPipeline",
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+ "args": {
4
+ "models": {
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+ "sparse_structure_encoder": "ckpts/ss_enc_conv3d_16l8_fp16",
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+ "sparse_structure_decoder": "ckpts/ss_dec_conv3d_16l8_fp16",
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+ "sparse_structure_flow_model": "ckpts/ss_flow_img_dit_L_16l8_fp16",
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+ "scene_sparse_structure_flow_coarse_model": "ckpts/scene_ss_coarse_flow_img_dit_L_16l8_fp16",
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+ "scene_sparse_structure_flow_fine_model": "ckpts/scene_ss_fine_flow_img_dit_L_16l8_fp16",
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+ "slat_decoder_gs": "ckpts/slat_dec_gs_swin8_B_64l8gs32_fp16",
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+ "slat_decoder_rf": "ckpts/slat_dec_rf_swin8_B_64l8r16_fp16",
12
+ "slat_decoder_mesh": "ckpts/slat_dec_mesh_swin8_B_64l8m256c_fp16",
13
+ "slat_flow_model": "ckpts/slat_flow_img_dit_L_64l8p2_fp16",
14
+ "scene_slat_flow_model": "ckpts/scene_slat_flow_img_dit_L_64l8p2_fp16"
15
+ },
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+ "coarse_sparse_structure_sampler": {
17
+ "name": "FlowEulerGuidanceIntervalSampler",
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+ "args": {
19
+ "sigma_min": 1e-5
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+ },
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+ "params": {
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+ "steps": 25,
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+ "cfg_strength": 5.0,
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+ "cfg_interval": [0.5, 1.0],
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+ "rescale_t": 3.0
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+ }
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+ },
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+ "sparse_structure_sampler": {
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+ "name": "FlowEulerGuidanceIntervalSampler",
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+ "args": {
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+ "sigma_min": 1e-5
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+ },
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+ "params": {
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+ "steps": 25,
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+ "cfg_strength": 5.0,
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+ "cfg_interval": [0.5, 1.0],
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+ "rescale_t": 3.0
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+ }
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+ },
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+ "slat_sampler": {
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+ "name": "FlowEulerGuidanceIntervalSampler",
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+ "args": {
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+ "sigma_min": 1e-5
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+ },
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+ "params": {
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+ "steps": 25,
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+ "cfg_strength": 5.0,
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+ "cfg_interval": [0.5, 1.0],
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+ "rescale_t": 3.0
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+ }
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+ },
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+ "slat_normalization": {
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+ "mean": [
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+ -2.1687545776367188,
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+ -0.004347046371549368,
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+ -0.13352349400520325,
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+ -0.08418072760105133,
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+ -0.5271206498146057,
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+ 0.7238689064979553,
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+ -1.1414450407028198,
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+ 1.2039363384246826
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+ ],
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+ "std": [
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+ 2.377650737762451,
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+ 2.386378288269043,
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+ 2.124418020248413,
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+ 2.1748552322387695,
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+ 2.663944721221924,
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+ 2.371192216873169,
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+ 2.6217446327209473,
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+ 2.684523105621338
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+ ]
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+ },
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+ "image_cond_model": "dinov2_vitl14_reg",
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+ "scene_cond_model": "Ruicheng/moge-2-vitl"
76
+ }
77
+ }