Hot-swap noise scheduler: DDPM 100-step → DDIM 32-step (no retraining)

config.json

@@ -71,7 +71,7 @@
     "n_groups": 8,
     "diffusion_step_embed_dim": 128,
     "use_film_scale_modulation": true,
-    "noise_scheduler_type": "DDPM",
+    "noise_scheduler_type": "DDIM",
     "num_train_timesteps": 100,
     "beta_schedule": "squaredcos_cap_v2",
     "beta_start": 0.0001,
@@ -79,7 +79,7 @@
     "prediction_type": "epsilon",
     "clip_sample": true,
     "clip_sample_range": 1.0,
-    "num_inference_steps": null,
+    "num_inference_steps": 32,
     "compile_model": false,
     "compile_mode": "reduce-overhead",
     "do_mask_loss_for_padding": false,