Add `clip_sample=False` to scheduler to make model compatible with DDIM.

.gitattributes

@@ -7,6 +7,7 @@
 *.h5 filter=lfs diff=lfs merge=lfs -text
 *.joblib filter=lfs diff=lfs merge=lfs -text
 *.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
 *.model filter=lfs diff=lfs merge=lfs -text
 *.msgpack filter=lfs diff=lfs merge=lfs -text
 *.npy filter=lfs diff=lfs merge=lfs -text
@@ -20,6 +21,7 @@
 *.pt filter=lfs diff=lfs merge=lfs -text
 *.pth filter=lfs diff=lfs merge=lfs -text
 *.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
 saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.tar.* filter=lfs diff=lfs merge=lfs -text
 *.tflite filter=lfs diff=lfs merge=lfs -text
@@ -29,7 +31,3 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
-safety_checker/pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
-text_encoder/pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
-unet/diffusion_pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
-vae/diffusion_pytorch_model.bin filter=lfs diff=lfs merge=lfs -text

scheduler/scheduler_config.json

@@ -4,6 +4,7 @@
   "beta_end": 0.012,
   "beta_schedule": "scaled_linear",
   "beta_start": 0.00085,
+  "clip_sample": false,
   "num_train_timesteps": 1000,
   "trained_betas": null
 }

vae/diffusion_pytorch_model.bin

@@ -1,3 +1,3 @@
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-size 169796545
+oid sha256:805ef111543a7a746ce2cff89f8cbbbb52fff576da0df6910e2693732278722d
+size 167351143