diff --git a/ldm/models/diffusion/ksampler.py b/ldm/models/diffusion/ksampler.py
index cc4677f47e..c48e533410 100644
--- a/ldm/models/diffusion/ksampler.py
+++ b/ldm/models/diffusion/ksampler.py
@@ -67,7 +67,7 @@ class KSampler(object):
             x = torch.randn([batch_size, *shape], device=self.device) * sigmas[0] # for GPU draw
         model_wrap_cfg = CFGDenoiser(self.model)
         extra_args = {'cond': conditioning, 'uncond': unconditional_conditioning, 'cond_scale': unconditional_guidance_scale}
-        return (K.sampling.sample_lms(model_wrap_cfg, x, sigmas, extra_args=extra_args, disable=not self.accelerator.is_main_process),
+        return (K.sampling.__dict__[f'sample_{self.schedule}'](model_wrap_cfg, x, sigmas, extra_args=extra_args, disable=not self.accelerator.is_main_process),
                 None)
 
     def gather(samples_ddim):
diff --git a/ldm/simplet2i.py b/ldm/simplet2i.py
index bd53ebb362..c01981afe4 100644
--- a/ldm/simplet2i.py
+++ b/ldm/simplet2i.py
@@ -18,7 +18,7 @@ t2i = T2I(outdir      = <path>        // outputs/txt2img-samples
           batch_size       = <integer>     // how many images to generate per sampling (1)
           steps       = <integer>     // 50
           seed        = <integer>     // current system time
-          sampler_name= ['ddim','plms','klms']  // klms
+          sampler_name= ['ddim', 'k_dpm_2_a', 'k_dpm_2', 'k_euler_a', 'k_euler', 'k_heun', 'k_lms', 'plms']  // k_lms
           grid        = <boolean>     // false
           width       = <integer>     // image width, multiple of 64 (512)
           height      = <integer>     // image height, multiple of 64 (512)
@@ -448,19 +448,29 @@ The vast majority of these arguments default to reasonable values.
             except AttributeError:
                 raise SystemExit
 
+            msg = f'setting sampler to {self.sampler_name}'
             if self.sampler_name=='plms':
-                print("setting sampler to plms")
                 self.sampler = PLMSSampler(self.model)
             elif self.sampler_name == 'ddim':
-                print("setting sampler to ddim")
                 self.sampler = DDIMSampler(self.model)
-            elif self.sampler_name == 'klms':
-                print("setting sampler to klms")
+            elif self.sampler_name == 'k_dpm_2_a':
+                self.sampler = KSampler(self.model,'dpm_2_ancestral')
+            elif self.sampler_name == 'k_dpm_2':
+                self.sampler = KSampler(self.model,'dpm_2')
+            elif self.sampler_name == 'k_euler_a':
+                self.sampler = KSampler(self.model,'euler_ancestral')
+            elif self.sampler_name == 'k_euler':
+                self.sampler = KSampler(self.model,'euler')
+            elif self.sampler_name == 'k_heun':
+                self.sampler = KSampler(self.model,'heun')
+            elif self.sampler_name == 'k_lms':
                 self.sampler = KSampler(self.model,'lms')
             else:
-                print(f"unsupported sampler {self.sampler_name}, defaulting to plms")
+                msg = f'unsupported sampler {self.sampler_name}, defaulting to plms'
                 self.sampler = PLMSSampler(self.model)
 
+            print(msg)
+
         return self.model
                 
     def _load_model_from_config(self, config, ckpt):
diff --git a/scripts/dream.py b/scripts/dream.py
index c57597f32e..b6a29627aa 100755
--- a/scripts/dream.py
+++ b/scripts/dream.py
@@ -226,6 +226,7 @@ def _reconstruct_switches(t2i,opt):
     switches.append(f'-W{opt.width        or t2i.width}')
     switches.append(f'-H{opt.height       or t2i.height}')
     switches.append(f'-C{opt.cfg_scale    or t2i.cfg_scale}')
+    switches.append(f'-m{t2i.sampler_name}')
     if opt.init_img:
         switches.append(f'-I{opt.init_img}')
     if opt.strength and opt.init_img is not None:
@@ -266,9 +267,9 @@ def create_argv_parser():
                         help="number of images to produce per iteration (faster, but doesn't generate individual seeds")
     parser.add_argument('--sampler','-m',
                         dest="sampler_name",
-                        choices=['plms','ddim', 'klms'],
-                        default='klms',
-                        help="which sampler to use (klms) - can only be set on command line")
+                        choices=['ddim', 'k_dpm_2_a', 'k_dpm_2', 'k_euler_a', 'k_euler', 'k_heun', 'k_lms', 'plms'],
+                        default='k_lms',
+                        help="which sampler to use (k_lms) - can only be set on command line")
     parser.add_argument('--outdir',
                         '-o',
                         type=str,