ldm_configs: # scheduler_config: # target: sgm.lr_scheduler.LambdaLinearScheduler # params: # warm_up_steps: [10000] # cycle_lengths: [10000000000000] # f_start: [1.e-6] # f_max: [1.] # f_min: [1.] # denoiser_config: # target: sgm.modules.diffusionmodules.denoiser.DiscreteDenoiser # params: # num_idx: 1000 # scaling_config: # target: sgm.modules.diffusionmodules.denoiser_scaling.EpsScaling # discretization_config: # target: sgm.modules.diffusionmodules.discretizer.LegacyDDPMDiscretization conditioner_config: target: sgm.modules.GeneralConditioner params: emb_models: # - is_trainable: False # input_key: 'img' # ucg_rate: 0.33 # # legacy_ucg_value: None # target: sgm.modules.encoders.modules.FrozenOpenCLIPImageEmbedder # params: # arch: 'ViT-L-14' # version: 'openai' # # version: 'laion2b_s32b_b82k' # freeze: True # output_tokens: True # # inp_size: 364 - is_trainable: False input_key: 'img' ucg_rate: 0.1 # legacy_ucg_value: None target: sgm.modules.encoders.modules.FrozenDinov2ImageEmbedder params: freeze: True arch: vitg # inp_size: 364 - is_trainable: False input_key: 'fps-xyz' ucg_rate: 0.0 target: sgm.modules.encoders.modules.PCD_Scaler params: scaling_factor: 0.45 perturb_pcd_scale: 0.05 loss_fn_config: target: sgm.modules.diffusionmodules.loss.FMLoss params: transport_config: target: transport.create_transport params: # all follow default # snr_type: lognorm # too noisy? snr_type: uniform # path_type: Linear path_type: GVP guider_config: target: sgm.modules.diffusionmodules.guiders.VanillaCFG params: # scale: 1.0 scale: 5.0