update diffusers to 0.18.0 on all platforms

docker/requirements-build.txt

@@ -1,4 +1,4 @@
-diffusers[torch]>=0.17.1
+diffusers[torch]>=0.18.0
 ninja
 numpy
 omegaconf==2.2.3

requirements.txt

@@ -1,7 +1,7 @@
 torch==2.0.1 
 torchvision==0.15.2
 transformers==4.29.2
-diffusers[torch]==0.17.1
+diffusers[torch]==0.18.0
 pynvml==11.4.1
 bitsandbytes==0.38.1
 ftfy==6.1.1

utils/convert_original_stable_diffusion_to_diffusers.py

@@ -161,4 +161,5 @@ if __name__ == "__main__":
         # only save the controlnet model
         pipe.controlnet.save_pretrained(args.dump_path, safe_serialization=args.to_safetensors)
     else:
-        pipe.save_pretrained(args.dump_path, safe_serialization=args.to_safetensors)
+        pipe.save_pretrained(args.dump_path, safe_serialization=args.to_safetensors)
+        print(f"Saved diffusers copy of model to {args.dump_path}.")

windows_setup.cmd

@@ -5,7 +5,7 @@ cd .
 python -m pip install --upgrade pip
 pip install torch==2.0.1+cu118 torchvision==0.15.2+cu118 --extra-index-url "https://download.pytorch.org/whl/cu118"
 pip install -U transformers==4.29.2
-pip install -U diffusers[torch]==0.14.0
+pip install -U diffusers[torch]==0.18.0
 pip install pynvml==11.4.1
 pip install -U https://github.com/victorchall/everydream-whls/raw/main/bitsandbytes-0.38.1-py2.py3-none-any.whl
 pip install ftfy==6.1.1