_base_ = ['lmm.py'] | |
model = dict( | |
model=dict( | |
latent_part_dim=64, | |
num_layers=8, | |
num_cond_layers=2, | |
dropout=0.1, | |
ca_block_cfg=dict( | |
num_experts=16, | |
topk=4 | |
), | |
guidance_cfg=dict( | |
humanml3d_t2m=dict(type='linear', scale=10.5), | |
), | |
), | |
diffusion_test_dict=dict( | |
humanml3d_t2m='15,15,8,6,6', | |
), | |
) | |
data = dict(samples_per_gpu=32) |