working endpoint with pwV5

handler.py

@@ -103,18 +103,19 @@ 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
+        # increase step to avoid high contrast num_inference_steps=30
+        # 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 sha256:38a67003cd791d4fc008ae1fd24615b8b168f83cc8e853b746a7ec7bb3d64f42
+oid sha256:41844a711a087b43222654f31e6035c98215e25b041834331282e9288edb11be
 size 492306077

unet/diffusion_pytorch_model.bin

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

vae/diffusion_pytorch_model.bin

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