Release: v0.30.2

update to a place holder

setup.py

@@ -254,7 +254,7 @@ version_range_max = max(sys.version_info[1], 10) + 1
 
 setup(
     name="diffusers",
-    version="0.30.1",  # expected format is one of x.y.z.dev0, or x.y.z.rc1 or x.y.z (no to dashes, yes to dots)
+    version="0.30.2",  # expected format is one of x.y.z.dev0, or x.y.z.rc1 or x.y.z (no to dashes, yes to dots)
     description="State-of-the-art diffusion in PyTorch and JAX.",
     long_description=open("README.md", "r", encoding="utf-8").read(),
     long_description_content_type="text/markdown",

src/diffusers/__init__.py

@@ -1,4 +1,4 @@
-__version__ = "0.30.1"
+__version__ = "0.30.2"
 
 from typing import TYPE_CHECKING
 

src/diffusers/loaders/ip_adapter.py

@@ -208,6 +208,8 @@ class IPAdapterMixin:
                             pretrained_model_name_or_path_or_dict,
                             subfolder=image_encoder_subfolder,
                             low_cpu_mem_usage=low_cpu_mem_usage,
+                            cache_dir=cache_dir,
+                            local_files_only=local_files_only,
                         ).to(self.device, dtype=self.dtype)
                         self.register_modules(image_encoder=image_encoder)
                     else:

src/diffusers/loaders/single_file_utils.py

@@ -91,11 +91,11 @@ DIFFUSERS_DEFAULT_PIPELINE_PATHS = {
     "xl_inpaint": {"pretrained_model_name_or_path": "diffusers/stable-diffusion-xl-1.0-inpainting-0.1"},
     "playground-v2-5": {"pretrained_model_name_or_path": "playgroundai/playground-v2.5-1024px-aesthetic"},
     "upscale": {"pretrained_model_name_or_path": "stabilityai/stable-diffusion-x4-upscaler"},
-    "inpainting": {"pretrained_model_name_or_path": "runwayml/stable-diffusion-inpainting"},
+    "inpainting": {"pretrained_model_name_or_path": "Lykon/dreamshaper-8-inpainting"},
     "inpainting_v2": {"pretrained_model_name_or_path": "stabilityai/stable-diffusion-2-inpainting"},
     "controlnet": {"pretrained_model_name_or_path": "lllyasviel/control_v11p_sd15_canny"},
     "v2": {"pretrained_model_name_or_path": "stabilityai/stable-diffusion-2-1"},
-    "v1": {"pretrained_model_name_or_path": "runwayml/stable-diffusion-v1-5"},
+    "v1": {"pretrained_model_name_or_path": "Lykon/dreamshaper-8"},
     "stable_cascade_stage_b": {"pretrained_model_name_or_path": "stabilityai/stable-cascade", "subfolder": "decoder"},
     "stable_cascade_stage_b_lite": {
         "pretrained_model_name_or_path": "stabilityai/stable-cascade",

src/diffusers/pipelines/flux/pipeline_flux.py

@@ -280,7 +280,7 @@ class FluxPipeline(DiffusionPipeline, FluxLoraLoaderMixin):
         prompt_embeds = prompt_embeds.to(dtype=self.text_encoder.dtype, device=device)
 
         # duplicate text embeddings for each generation per prompt, using mps friendly method
-        prompt_embeds = prompt_embeds.repeat(1, num_images_per_prompt, 1)
+        prompt_embeds = prompt_embeds.repeat(1, num_images_per_prompt)
         prompt_embeds = prompt_embeds.view(batch_size * num_images_per_prompt, -1)
 
         return prompt_embeds