post release v0.23.0 (#5730)

* post release

* fix: variant test

* up

* fix: test

examples/textual_inversion/textual_inversion.py

@@ -79,7 +79,7 @@ else:
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.23.0.dev0")
+check_min_version("0.24.0.dev0")
 
 logger = get_logger(__name__)
 

examples/textual_inversion/textual_inversion_flax.py

@@ -56,7 +56,7 @@ else:
 # ------------------------------------------------------------------------------
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.23.0.dev0")
+check_min_version("0.24.0.dev0")
 
 logger = logging.getLogger(__name__)
 

examples/unconditional_image_generation/train_unconditional.py

@@ -29,7 +29,7 @@ from diffusers.utils.import_utils import is_xformers_available
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.23.0.dev0")
+check_min_version("0.24.0.dev0")
 
 logger = get_logger(__name__, log_level="INFO")
 

examples/wuerstchen/text_to_image/train_text_to_image_lora_prior.py

@@ -50,7 +50,7 @@ if is_wandb_available():
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.23.0.dev0")
+check_min_version("0.24.0.dev0")
 
 logger = get_logger(__name__, log_level="INFO")
 

examples/wuerstchen/text_to_image/train_text_to_image_prior.py

@@ -51,7 +51,7 @@ if is_wandb_available():
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.23.0.dev0")
+check_min_version("0.24.0.dev0")
 
 logger = get_logger(__name__, log_level="INFO")
 

setup.py

@@ -244,7 +244,7 @@ install_requires = [
 
 setup(
     name="diffusers",
-    version="0.23.0.dev0",  # 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="0.24.0.dev0",  # 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

-__version__ = "0.23.0.dev0"
+__version__ = "0.24.0.dev0"
 
 from typing import TYPE_CHECKING
 

tests/pipelines/test_pipelines.py

@@ -14,7 +14,6 @@
 # limitations under the License.
 
 import gc
-import glob
 import json
 import os
 import random
@@ -57,7 +56,7 @@ from diffusers import (
     UniPCMultistepScheduler,
     logging,
 )
-from diffusers.pipelines.pipeline_utils import _get_pipeline_class, variant_compatible_siblings
+from diffusers.pipelines.pipeline_utils import _get_pipeline_class
 from diffusers.schedulers.scheduling_utils import SCHEDULER_CONFIG_NAME
 from diffusers.utils import (
     CONFIG_NAME,
@@ -1505,28 +1504,15 @@ class PipelineFastTests(unittest.TestCase):
 
             assert sd.name_or_path == tmpdirname
 
-    def test_warning_no_variant_available(self):
+    def test_error_no_variant_available(self):
         variant = "fp16"
-        with self.assertWarns(FutureWarning) as warning_context:
-            cached_folder = StableDiffusionPipeline.download(
+        with self.assertRaises(ValueError) as error_context:
+            _ = StableDiffusionPipeline.download(
                 "hf-internal-testing/diffusers-stable-diffusion-tiny-all", variant=variant
             )
 
-        assert "but no such modeling files are available" in str(warning_context.warning)
-        assert variant in str(warning_context.warning)
-
-        def get_all_filenames(directory):
-            filenames = glob.glob(directory + "/**", recursive=True)
-            filenames = [f for f in filenames if os.path.isfile(f)]
-            return filenames
-
-        filenames = get_all_filenames(str(cached_folder))
-
-        all_model_files, variant_model_files = variant_compatible_siblings(filenames, variant=variant)
-
-        # make sure that none of the model names are variant model names
-        assert len(variant_model_files) == 0
-        assert len(all_model_files) > 0
+        assert "but no such modeling files are available" in str(error_context.exception)
+        assert variant in str(error_context.exception)
 
     def test_pipe_to(self):
         unet = self.dummy_cond_unet()