feat(diffusers): bump to 0.15.0 + 2 weeks with lpw fix (9965cb5)

Dockerfile

@@ -37,9 +37,9 @@ WORKDIR /api
 ADD requirements.txt requirements.txt
 RUN pip install -r requirements.txt
 
-# [5e5ce13] adds xformers support to train_unconditional.py (#2520)
-# Also includes LoRA safetensors support.
-RUN git clone https://github.com/huggingface/diffusers && cd diffusers && git checkout 5e5ce13e2f89ac45a0066cb3f369462a3cf1d9ef
+# [9965cb5] [Community Pipelines] Update lpw_stable_diffusion pipeline (#3197)
+# Above was reverted shortly afterwards for not being backwards compatible.
+RUN git clone https://github.com/huggingface/diffusers && cd diffusers && git checkout 9965cb50eac12e397473f01535aab43aae76b4ab
 WORKDIR /api
 RUN pip install -e diffusers
 

api/convert_to_diffusers.py

@@ -4,7 +4,7 @@
 import torch
 import json
 from diffusers.pipelines.stable_diffusion.convert_from_ckpt import (
-    load_pipeline_from_original_stable_diffusion_ckpt,
+    download_from_original_stable_diffusion_ckpt,
 )
 from utils import Storage
 from device import device_id
@@ -123,7 +123,7 @@ def main(
     # user overrides
     args.update(checkpoint_args)
 
-    pipe = load_pipeline_from_original_stable_diffusion_ckpt(**args)
+    pipe = download_from_original_stable_diffusion_ckpt(**args)
     pipe.save_pretrained(model_id, safe_serialization=True)