| target: patch_flow.trainer.LatentPatchForcingTrainer | |
| params: | |
| model: ${oc.select:model, null} | |
| first_stage: ${oc.select:autoencoder, null} | |
| # patch flow forcing | |
| flow: | |
| target: patch_flow.flow_pf.PatchFlowForcing | |
| params: | |
| patch_size: 2 | |
| timestep_sampler: | |
| target: patch_flow.timestep_schedules.LogitNormalTruncatedGaussian | |
| params: | |
| std: 0.6 | |
| loc: 0.7 | |
| scale: 1.0 | |
| # learning | |
| lr: 1e-4 | |
| weight_decay: 0.0 | |
| ema_rate: 0.9999 | |
| lr_scheduler_cfg: ${oc.select:lr_scheduler, null} | |
| # sampling | |
| sample_kwargs: | |
| num_steps: 50 | |
| progress: False |