TRELLIS-image-large / pipeline.json
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{
"name": "TrellisImageTo3DPipeline",
"args": {
"models": {
"sparse_structure_decoder": "ckpts/ss_dec_conv3d_16l8_fp16",
"sparse_structure_flow_model": "ckpts/ss_flow_img_dit_L_16l8_fp16",
"slat_decoder_gs": "ckpts/slat_dec_gs_swin8_B_64l8gs32_fp16",
"slat_decoder_rf": "ckpts/slat_dec_rf_swin8_B_64l8r16_fp16",
"slat_decoder_mesh": "ckpts/slat_dec_mesh_swin8_B_64l8m256c_fp16",
"slat_flow_model": "ckpts/slat_flow_img_dit_L_64l8p2_fp16"
},
"sparse_structure_sampler": {
"name": "FlowEulerGuidanceIntervalSampler",
"args": {
"sigma_min": 1e-5
},
"params": {
"steps": 25,
"cfg_strength": 5.0,
"cfg_interval": [0.5, 1.0],
"rescale_t": 3.0
}
},
"slat_sampler": {
"name": "FlowEulerGuidanceIntervalSampler",
"args": {
"sigma_min": 1e-5
},
"params": {
"steps": 25,
"cfg_strength": 5.0,
"cfg_interval": [0.5, 1.0],
"rescale_t": 3.0
}
},
"slat_normalization": {
"mean": [
-2.1687545776367188,
-0.004347046371549368,
-0.13352349400520325,
-0.08418072760105133,
-0.5271206498146057,
0.7238689064979553,
-1.1414450407028198,
1.2039363384246826
],
"std": [
2.377650737762451,
2.386378288269043,
2.124418020248413,
2.1748552322387695,
2.663944721221924,
2.371192216873169,
2.6217446327209473,
2.684523105621338
]
},
"image_cond_model": "dinov2_vitl14_reg"
}
}