changed to DPM++ 2M Karras scheduler

handler.py

@@ -27,7 +27,7 @@ from PIL import Image
 REPO_DIR = Path(__file__).resolve().parent
 
 # if local avoid repo url
-print(os.getcwd())
+# print(os.getcwd())
 
 # set device
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
@@ -103,19 +103,18 @@ class EndpointHandler:
 
         # DPM++ 2M SDE Karras
         # increase step to avoid high contrast num_inference_steps=30
-        self.pipe.scheduler = DPMSolverMultistepScheduler.from_config(
-            self.pipe.scheduler.config,
-            use_karras_sigmas=True,
-            algorithm_type="sde-dpmsolver++",
-        )
-
-        # DPM++ 2M Karras
-        # increase step to avoid high contrast num_inference_steps=30
         # self.pipe.scheduler = DPMSolverMultistepScheduler.from_config(
         #     self.pipe.scheduler.config,
         #     use_karras_sigmas=True,
+        #     algorithm_type="sde-dpmsolver++",
         # )
 
+        # DPM++ 2M Karras
+        self.pipe.scheduler = DPMSolverMultistepScheduler.from_config(
+            self.pipe.scheduler.config,
+            use_karras_sigmas=True,
+        )
+
         # Mode boulardus
         self.pipe.safety_checker = None
 

text_encoder/pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:41844a711a087b43222654f31e6035c98215e25b041834331282e9288edb11be
+oid sha256:38a67003cd791d4fc008ae1fd24615b8b168f83cc8e853b746a7ec7bb3d64f42
 size 492306077

unet/diffusion_pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e00ae441399298118f144e556f9517042faa352fdb4410a70f28c739ae4ee25d
+oid sha256:b64c917a491e553494fa0eb452824cc068296273a09436ca0803b06c42046c7d
 size 3438366373

vae/diffusion_pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1b01618945554d9840701d3453d4a9fe3db0db090164a5ed6305641306285b6f
+oid sha256:a425a89f2e522790b3975b93ed380814e68ec77a04841dced0832cad70eab929
 size 334712113