Fix gradio using pinned pydantic

.github/FUNDING.yml

@@ -1 +1 @@
-custom: [ buymeacoffee.com/henryruhs, ko-fi.com/henryruhs, paypal.me/henryruhs ]
+custom: [ buymeacoffee.com/facefusion, ko-fi.com/facefusion ]

README.md

@@ -17,7 +17,7 @@ Preview
 Installation
 ------------
 
-Be aware, the [installation](https://docs.facefusion.io/installation) needs technical skills and is not recommended for beginners. In case you are not comfortable using a terminal, our [Windows Installer](https://windows-installer.facefusion.io) and [macOS Installer](https://macos-installer.facefusion.io) get you started.
+Be aware, the [installation](https://docs.facefusion.io/installation) needs technical skills and is not recommended for beginners. In case you are not comfortable using a terminal, our [Windows Installer](http://windows-installer.facefusion.io) and [macOS Installer](http://macos-installer.facefusion.io) get you started.
 
 
 Usage

facefusion/execution.py

@@ -34,7 +34,8 @@ def create_inference_execution_providers(execution_device_id : str, execution_pr
 		if execution_provider == 'cuda':
 			inference_execution_providers.append((facefusion.choices.execution_provider_set.get(execution_provider),
 			{
-				'device_id': execution_device_id
+				'device_id': execution_device_id,
+				'cudnn_conv_algo_search': 'DEFAULT' if is_geforce_16_series() else 'EXHAUSTIVE'
 			}))
 		if execution_provider == 'tensorrt':
 			inference_execution_providers.append((facefusion.choices.execution_provider_set.get(execution_provider),
@@ -66,6 +67,13 @@ def create_inference_execution_providers(execution_device_id : str, execution_pr
 	return inference_execution_providers
 
 
+def is_geforce_16_series() -> bool:
+	execution_devices = detect_static_execution_devices()
+	product_names = ('GeForce GTX 1630', 'GeForce GTX 1650', 'GeForce GTX 1660')
+
+	return any(execution_device.get('product').get('name').startswith(product_names) for execution_device in execution_devices)
+
+
 def run_nvidia_smi() -> subprocess.Popen[bytes]:
 	commands = [ shutil.which('nvidia-smi'), '--query', '--xml-format' ]
 	return subprocess.Popen(commands, stdout = subprocess.PIPE)

facefusion/installer.py

@@ -89,5 +89,5 @@ def run(program : ArgumentParser) -> None:
 
 			subprocess.call([ shutil.which('conda'), 'env', 'config', 'vars', 'set', 'PATH=' + os.pathsep.join(library_paths) ])
 
-	if args.onnxruntime in [ 'rocm', 'directml' ]:
+	if args.onnxruntime in [ 'directml', 'rocm' ]:
 		subprocess.call([ shutil.which('pip'), 'install', 'numpy==1.26.4', '--force-reinstall' ])

facefusion/metadata.py

@@ -4,7 +4,7 @@ METADATA =\
 {
 	'name': 'FaceFusion',
 	'description': 'Industry leading face manipulation platform',
-	'version': '3.1.0',
+	'version': '3.1.2',
 	'license': 'MIT',
 	'author': 'Henry Ruhs',
 	'url': 'https://facefusion.io'

facefusion/processors/modules/face_swapper.py

@@ -346,6 +346,9 @@ def clear_inference_pool() -> None:
 
 def get_model_options() -> ModelOptions:
 	face_swapper_model = state_manager.get_item('face_swapper_model')
+
+	if has_execution_provider('coreml') and face_swapper_model == 'inswapper_128_fp16':
+		return create_static_model_set('full').get('inswapper_128')
 	return create_static_model_set('full').get(face_swapper_model)
 
 

facefusion/processors/modules/frame_enhancer.py

@@ -11,6 +11,7 @@ import facefusion.processors.core as processors
 from facefusion import config, content_analyser, inference_manager, logger, process_manager, state_manager, wording
 from facefusion.common_helper import create_int_metavar
 from facefusion.download import conditional_download_hashes, conditional_download_sources, resolve_download_url
+from facefusion.execution import has_execution_provider
 from facefusion.filesystem import in_directory, is_image, is_video, resolve_relative_path, same_file_extension
 from facefusion.processors import choices as processors_choices
 from facefusion.processors.typing import FrameEnhancerInputs
@@ -395,6 +396,14 @@ def clear_inference_pool() -> None:
 
 def get_model_options() -> ModelOptions:
 	frame_enhancer_model = state_manager.get_item('frame_enhancer_model')
+
+	if has_execution_provider('coreml'):
+		if frame_enhancer_model == 'real_esrgan_x2_fp16':
+			return create_static_model_set('full').get('real_esrgan_x2')
+		if frame_enhancer_model == 'real_esrgan_x4_fp16':
+			return create_static_model_set('full').get('real_esrgan_x4')
+		if frame_enhancer_model == 'real_esrgan_x8_fp16':
+			return create_static_model_set('full').get('real_esrgan_x8')
 	return create_static_model_set('full').get(frame_enhancer_model)
 
 

requirements.txt

@@ -6,5 +6,6 @@ onnx==1.17.0
 onnxruntime==1.20.1
 opencv-python==4.10.0.84
 psutil==6.1.1
+pydantic==2.10.6
 tqdm==4.67.1
 scipy==1.14.1

tests/test_execution.py

@@ -15,7 +15,8 @@ def test_create_inference_execution_providers() -> None:
 	[
 		('CUDAExecutionProvider',
 		{
-			'device_id': '1'
+			'device_id': '1',
+			'cudnn_conv_algo_search': 'EXHAUSTIVE'
 		}),
 		'CPUExecutionProvider'
 	]