remove slotindex from json

client/demo/src/components/demo/904-1_MainScreen.tsx

@@ -99,7 +99,7 @@ export const MainScreen = (props: MainScreenProps) => {
         const slotRow = serverSetting.serverSetting.modelSlots.map((x, index) => {
             // モデルのアイコン
             const generateIconArea = (slotIndex: number, iconUrl: string, tooltip: boolean) => {
-                const realIconUrl = iconUrl.length > 0 ? iconUrl : "/assets/icons/noimage.png";
+                const realIconUrl = iconUrl.length > 0 ? serverSetting.serverSetting.voiceChangerParams.model_dir + "/" + slotIndex + "/" + iconUrl.split(/[\/\\]/).pop() : "/assets/icons/noimage.png";
                 const iconDivClass = tooltip ? "tooltip" : "";
                 const iconClass = tooltip ? "model-slot-icon-pointable" : "model-slot-icon";
                 return (

client/demo/src/components/demo/components2/100_ModelSlotArea.tsx

@@ -40,10 +40,11 @@ export const ModelSlotArea = (_props: ModelSlotAreaProps) => {
                 }
                 const tileContainerClass = x.slotIndex == serverSetting.serverSetting.modelSlotIndex ? "model-slot-tile-container-selected" : "model-slot-tile-container";
                 const name = x.name.length > 8 ? x.name.substring(0, 7) + "..." : x.name;
+
                 const iconElem =
                     x.iconFile.length > 0 ? (
                         <>
-                            <img className="model-slot-tile-icon" src={x.iconFile} alt={x.name} />
+                            <img className="model-slot-tile-icon" src={serverSetting.serverSetting.voiceChangerParams.model_dir + "/" + x.slotIndex + "/" + x.iconFile.split(/[\/\\]/).pop()} alt={x.name} />
                             <div className="model-slot-tile-vctype">{x.voiceChangerType}</div>
                         </>
                     ) : (

client/demo/src/components/demo/components2/101_CharacterArea.tsx

@@ -49,7 +49,7 @@ export const CharacterArea = (_props: CharacterAreaProps) => {
             return <></>;
         }
 
-        const icon = selected.iconFile.length > 0 ? selected.iconFile : "./assets/icons/human.png";
+        const icon = selected.iconFile.length > 0 ? serverSetting.serverSetting.voiceChangerParams.model_dir + "/" + selected.slotIndex + "/" + selected.iconFile.split(/[\/\\]/).pop() : "./assets/icons/human.png";
         const selectedTermOfUseUrlLink = selected.termsOfUseUrl ? (
             <a href={selected.termsOfUseUrl} target="_blank" rel="noopener noreferrer" className="portrait-area-terms-of-use-link">
                 [{messageBuilderState.getMessage(__filename, "terms_of_use")}]

client/lib/src/const.ts

@@ -306,7 +306,9 @@ export type ServerInfo = VoiceChangerServerSetting & {
         memory: number,
     }[]
     maxInputLength: number  // MMVCv15
-
+    voiceChangerParams: {
+        model_dir: string
+    }
 }
 
 export type SampleModel = {
@@ -409,7 +411,10 @@ export const DefaultServerSetting: ServerInfo = {
     serverAudioInputDevices: [],
     serverAudioOutputDevices: [],
 
-    maxInputLength:  128 * 2048
+    maxInputLength:  128 * 2048,
+    voiceChangerParams: {
+        model_dir: ""
+    }
 }
 
 ///////////////////////

server/data/ModelSlot.py

@@ -170,4 +170,4 @@ def saveSlotInfo(model_dir: str, slotIndex: int, slotInfo: ModelSlots):
     slotDir = os.path.join(model_dir, str(slotIndex))
     slotInfoDict = asdict(slotInfo)
     slotInfo.slotIndex = -1  # スロットインデックスは動的に注入
-    json.dump(slotInfoDict, open(os.path.join(slotDir, "params.json"), "w"))
+    json.dump(slotInfoDict, open(os.path.join(slotDir, "params.json"), "w"), indent=4)

server/downloader/SampleDownloader.py

@@ -109,7 +109,7 @@ def _downloadSamples(samples: list[ModelSamples], sampleModelIds: list[Tuple[str
                     "position": line_num,
                 }
             )
-            slotInfo.modelFile = modelFilePath
+            slotInfo.modelFile = os.path.basename(sample.modelUrl)
             line_num += 1
 
             if targetSampleParams["useIndex"] is True and hasattr(sample, "indexUrl") and sample.indexUrl != "":
@@ -124,7 +124,7 @@ def _downloadSamples(samples: list[ModelSamples], sampleModelIds: list[Tuple[str
                         "position": line_num,
                     }
                 )
-                slotInfo.indexFile = indexPath
+                slotInfo.indexFile = os.path.basename(sample.indexUrl)
                 line_num += 1
 
             if hasattr(sample, "icon") and sample.icon != "":
@@ -139,7 +139,7 @@ def _downloadSamples(samples: list[ModelSamples], sampleModelIds: list[Tuple[str
                         "position": line_num,
                     }
                 )
-                slotInfo.iconFile = iconPath
+                slotInfo.iconFile = os.path.basename(sample.icon)
                 line_num += 1
 
             slotInfo.sampleId = sample.id
@@ -169,7 +169,7 @@ def _downloadSamples(samples: list[ModelSamples], sampleModelIds: list[Tuple[str
                     "position": line_num,
                 }
             )
-            slotInfo.modelFile = modelFilePath
+            slotInfo.modelFile = os.path.basename(sample.modelUrl)
             line_num += 1
 
             if hasattr(sample, "icon") and sample.icon != "":
@@ -184,7 +184,7 @@ def _downloadSamples(samples: list[ModelSamples], sampleModelIds: list[Tuple[str
                         "position": line_num,
                     }
                 )
-                slotInfo.iconFile = iconPath
+                slotInfo.iconFile = os.path.basename(sample.icon)
                 line_num += 1
 
             slotInfo.sampleId = sample.id
@@ -214,11 +214,12 @@ def _downloadSamples(samples: list[ModelSamples], sampleModelIds: list[Tuple[str
     logger.info("[Voice Changer] Generating metadata...")
     for targetSlotIndex in slotIndex:
         slotInfo = modelSlotManager.get_slot_info(targetSlotIndex)
+        modelPath = os.path.join(model_dir, str(slotInfo.slotIndex), os.path.basename(slotInfo.modelFile))
         if slotInfo.voiceChangerType == "RVC":
             if slotInfo.isONNX:
-                slotInfo = RVCModelSlotGenerator._setInfoByONNX(slotInfo)
+                slotInfo = RVCModelSlotGenerator._setInfoByONNX(modelPath, slotInfo)
             else:
-                slotInfo = RVCModelSlotGenerator._setInfoByPytorch(slotInfo)
+                slotInfo = RVCModelSlotGenerator._setInfoByPytorch(modelPath, slotInfo)
 
             modelSlotManager.save_model_slot(targetSlotIndex, slotInfo)
         elif slotInfo.voiceChangerType == "Diffusion-SVC":

server/voice_changer/DDSP_SVC/DDSP_SVC.py

@@ -6,6 +6,7 @@ import torch
 from data.ModelSlot import DDSPSVCModelSlot
 
 from voice_changer.DDSP_SVC.deviceManager.DeviceManager import DeviceManager
+from voice_changer.VoiceChangerParamsManager import VoiceChangerParamsManager
 
 if sys.platform.startswith("darwin"):
     baseDir = [x for x in sys.path if x.endswith("Contents/MacOS")]
@@ -69,12 +70,15 @@ class DDSP_SVC:
 
     def initialize(self):
         self.device = self.deviceManager.getDevice(self.settings.gpu)
+        vcparams = VoiceChangerParamsManager.get_instance().params
+        modelPath = os.path.join(vcparams.model_dir, str(self.slotInfo.slotIndex), "model",  self.slotInfo.modelFile)
+        diffPath = os.path.join(vcparams.model_dir, str(self.slotInfo.slotIndex), "diff", self.slotInfo.diffModelFile)
 
         self.svc_model = SvcDDSP()
         self.svc_model.setVCParams(self.params)
-        self.svc_model.update_model(self.slotInfo.modelFile, self.device)
+        self.svc_model.update_model(modelPath, self.device)
         self.diff_model = DiffGtMel(device=self.device)
-        self.diff_model.flush_model(self.slotInfo.diffModelFile, ddsp_config=self.svc_model.args)
+        self.diff_model.flush_model(diffPath, ddsp_config=self.svc_model.args)
 
     def update_settings(self, key: str, val: int | float | str):
         if key in self.settings.intData:
@@ -174,5 +178,9 @@ class DDSP_SVC:
                 if file_path.find("DDSP-SVC" + os.path.sep) >= 0:
                     # print("remove", key, file_path)
                     sys.modules.pop(key)
-            except:  # type:ignore
+            except:  # type:ignore # noqa
                 pass
+
+    def get_model_current(self):
+        return [
+        ]

server/voice_changer/MMVCv13/MMVCv13.py

@@ -1,6 +1,7 @@
 import sys
 import os
 from data.ModelSlot import MMVCv13ModelSlot
+from voice_changer.VoiceChangerParamsManager import VoiceChangerParamsManager
 
 from voice_changer.utils.VoiceChangerModel import AudioInOut
 
@@ -63,19 +64,22 @@ class MMVCv13:
 
     def initialize(self):
         print("[Voice Changer] [MMVCv13] Initializing... ")
+        vcparams = VoiceChangerParamsManager.get_instance().params
+        configPath = os.path.join(vcparams.model_dir, str(self.slotInfo.slotIndex), self.slotInfo.configFile)
+        modelPath = os.path.join(vcparams.model_dir, str(self.slotInfo.slotIndex), self.slotInfo.modelFile)
 
-        self.hps = get_hparams_from_file(self.slotInfo.configFile)
+        self.hps = get_hparams_from_file(configPath)
         if self.slotInfo.isONNX:
             providers, options = self.getOnnxExecutionProvider()
             self.onnx_session = onnxruntime.InferenceSession(
-                self.slotInfo.modelFile,
+                modelPath,
                 providers=providers,
                 provider_options=options,
             )
         else:
             self.net_g = SynthesizerTrn(len(symbols), self.hps.data.filter_length // 2 + 1, self.hps.train.segment_size // self.hps.data.hop_length, n_speakers=self.hps.data.n_speakers, **self.hps.model)
             self.net_g.eval()
-            load_checkpoint(self.slotInfo.modelFile, self.net_g, None)
+            load_checkpoint(modelPath, self.net_g, None)
 
         # その他の設定
         self.settings.srcId = self.slotInfo.srcId
@@ -105,8 +109,10 @@ class MMVCv13:
 
             if key == "gpu" and self.slotInfo.isONNX:
                 providers, options = self.getOnnxExecutionProvider()
+                vcparams = VoiceChangerParamsManager.get_instance().params
+                modelPath = os.path.join(vcparams.model_dir, str(self.slotInfo.slotIndex), self.slotInfo.modelFile)
                 self.onnx_session = onnxruntime.InferenceSession(
-                    self.slotInfo.modelFile,
+                    modelPath,
                     providers=providers,
                     provider_options=options,
                 )
@@ -249,3 +255,15 @@ class MMVCv13:
                     sys.modules.pop(key)
             except:  # NOQA
                 pass
+
+    def get_model_current(self):
+        return [
+            {
+                "key": "srcId",
+                "val": self.settings.srcId,
+            },
+            {
+                "key": "dstId",
+                "val": self.settings.dstId,
+            }
+        ]

server/voice_changer/MMVCv15/MMVCv15.py

@@ -1,6 +1,7 @@
 import sys
 import os
 from data.ModelSlot import MMVCv15ModelSlot
+from voice_changer.VoiceChangerParamsManager import VoiceChangerParamsManager
 from voice_changer.utils.VoiceChangerModel import AudioInOut
 
 if sys.platform.startswith("darwin"):
@@ -70,7 +71,11 @@ class MMVCv15:
 
     def initialize(self):
         print("[Voice Changer] [MMVCv15] Initializing... ")
-        self.hps = get_hparams_from_file(self.slotInfo.configFile)
+        vcparams = VoiceChangerParamsManager.get_instance().params
+        configPath = os.path.join(vcparams.model_dir, str(self.slotInfo.slotIndex), self.slotInfo.configFile)
+        modelPath = os.path.join(vcparams.model_dir, str(self.slotInfo.slotIndex), self.slotInfo.modelFile)
+
+        self.hps = get_hparams_from_file(configPath)
 
         self.net_g = SynthesizerTrn(
             spec_channels=self.hps.data.filter_length // 2 + 1,
@@ -96,7 +101,7 @@ class MMVCv15:
             self.onxx_input_length = 8192
             providers, options = self.getOnnxExecutionProvider()
             self.onnx_session = onnxruntime.InferenceSession(
-                self.slotInfo.modelFile,
+                modelPath,
                 providers=providers,
                 provider_options=options,
             )
@@ -108,7 +113,7 @@ class MMVCv15:
                     self.settings.maxInputLength = self.onxx_input_length - (0.012 * self.hps.data.sampling_rate) - 1024 # onnxの場合は入力長固(crossfadeの1024は仮) # NOQA
         else:
             self.net_g.eval()
-            load_checkpoint(self.slotInfo.modelFile, self.net_g, None)
+            load_checkpoint(modelPath, self.net_g, None)
 
         # その他の設定
         self.settings.srcId = self.slotInfo.srcId
@@ -139,8 +144,10 @@ class MMVCv15:
             setattr(self.settings, key, val)
             if key == "gpu" and self.slotInfo.isONNX:
                 providers, options = self.getOnnxExecutionProvider()
+                vcparams = VoiceChangerParamsManager.get_instance().params
+                modelPath = os.path.join(vcparams.model_dir, str(self.slotInfo.slotIndex), self.slotInfo.modelFile)
                 self.onnx_session = onnxruntime.InferenceSession(
-                    self.slotInfo.modelFile,
+                    modelPath,
                     providers=providers,
                     provider_options=options,
                 )
@@ -208,7 +215,8 @@ class MMVCv15:
         solaSearchFrame: int = 0,
     ):
         # maxInputLength を更新(ここでやると非効率だが、とりあえず。)
-        self.settings.maxInputLength = self.onxx_input_length - crossfadeSize - solaSearchFrame # onnxの場合は入力長固(crossfadeの1024は仮) # NOQA
+        if self.slotInfo.isONNX:
+            self.settings.maxInputLength = self.onxx_input_length - crossfadeSize - solaSearchFrame # onnxの場合は入力長固(crossfadeの1024は仮) # NOQA get_infoで返る値。この関数内の処理では使わない。
 
         newData = newData.astype(np.float32) / self.hps.data.max_wav_value
 
@@ -310,3 +318,19 @@ class MMVCv15:
                     sys.modules.pop(key)
             except: # NOQA
                 pass
+
+    def get_model_current(self):
+        return [
+            {
+                "key": "srcId",
+                "val": self.settings.srcId,
+            },
+            {
+                "key": "dstId",
+                "val": self.settings.dstId,
+            },
+            {
+                "key": "f0Factor",
+                "val": self.settings.f0Factor,
+            }
+        ]

server/voice_changer/MMVCv15/MMVCv15ModelSlotGenerator.py

@@ -1,6 +1,7 @@
 import os
 
 from data.ModelSlot import MMVCv15ModelSlot
+from voice_changer.VoiceChangerParamsManager import VoiceChangerParamsManager
 from voice_changer.utils.LoadModelParams import LoadModelParams
 from voice_changer.utils.ModelSlotGenerator import ModelSlotGenerator
 
@@ -15,7 +16,9 @@ class MMVCv15ModelSlotGenerator(ModelSlotGenerator):
             elif file.kind == "mmvcv15Config":
                 slotInfo.configFile = file.name
             elif file.kind == "mmvcv15Correspondence":
-                with open(file.name, "r") as f:
+                vcparams = VoiceChangerParamsManager.get_instance().params
+                filePath = os.path.join(vcparams.model_dir, str(props.slot), file.name)
+                with open(filePath, "r") as f:
                     slotInfo.speakers = {}
                     while True:
                         line = f.readline()

server/voice_changer/RVC/RVCModelSlotGenerator.py

@@ -5,7 +5,8 @@ import torch
 import onnxruntime
 import json
 
-from data.ModelSlot import ModelSlot, RVCModelSlot
+from data.ModelSlot import RVCModelSlot
+from voice_changer.VoiceChangerParamsManager import VoiceChangerParamsManager
 from voice_changer.utils.LoadModelParams import LoadModelParams
 from voice_changer.utils.ModelSlotGenerator import ModelSlotGenerator
 
@@ -13,6 +14,7 @@ from voice_changer.utils.ModelSlotGenerator import ModelSlotGenerator
 class RVCModelSlotGenerator(ModelSlotGenerator):
     @classmethod
     def loadModel(cls, props: LoadModelParams):
+        vcparams = VoiceChangerParamsManager.get_instance().params
         slotInfo: RVCModelSlot = RVCModelSlot()
         for file in props.files:
             if file.kind == "rvcModel":
@@ -24,17 +26,20 @@ class RVCModelSlotGenerator(ModelSlotGenerator):
         slotInfo.defaultProtect = 0.5
         slotInfo.isONNX = slotInfo.modelFile.endswith(".onnx")
         slotInfo.name = os.path.splitext(os.path.basename(slotInfo.modelFile))[0]
+        print("RVC:: slotInfo.modelFile", slotInfo.modelFile)
+
         # slotInfo.iconFile = "/assets/icons/noimage.png"
 
+        modelPath = os.path.join(vcparams.model_dir, str(props.slot), os.path.basename(slotInfo.modelFile))
         if slotInfo.isONNX:
-            slotInfo = cls._setInfoByONNX(slotInfo)
+            slotInfo = cls._setInfoByONNX(modelPath, slotInfo)
         else:
-            slotInfo = cls._setInfoByPytorch(slotInfo)
+            slotInfo = cls._setInfoByPytorch(modelPath, slotInfo)
         return slotInfo
 
     @classmethod
-    def _setInfoByPytorch(cls, slot: ModelSlot):
-        cpt = torch.load(slot.modelFile, map_location="cpu")
+    def _setInfoByPytorch(cls, modelPath: str, slot: RVCModelSlot):
+        cpt = torch.load(modelPath, map_location="cpu")
         config_len = len(cpt["config"])
         version = cpt.get("version", "v1")
 
@@ -113,8 +118,8 @@ class RVCModelSlotGenerator(ModelSlotGenerator):
         return slot
 
     @classmethod
-    def _setInfoByONNX(cls, slot: ModelSlot):
-        tmp_onnx_session = onnxruntime.InferenceSession(slot.modelFile, providers=["CPUExecutionProvider"])
+    def _setInfoByONNX(cls, modelPath: str, slot: RVCModelSlot):
+        tmp_onnx_session = onnxruntime.InferenceSession(modelPath, providers=["CPUExecutionProvider"])
         modelmeta = tmp_onnx_session.get_modelmeta()
         try:
             slot = RVCModelSlot(**asdict(slot))

server/voice_changer/RVC/RVCr2.py

@@ -48,7 +48,7 @@ class RVCr2(VoiceChangerModel):
 
         # pipelineの生成
         try:
-            self.pipeline = createPipeline(self.slotInfo, self.settings.gpu, self.settings.f0Detector)
+            self.pipeline = createPipeline(self.params, self.slotInfo, self.settings.gpu, self.settings.f0Detector)
         except PipelineCreateException as e:  # NOQA
             logger.error("[Voice Changer] pipeline create failed. check your model is valid.")
             return

server/voice_changer/RVC/onnxExporter/export2onnx.py

@@ -4,7 +4,7 @@ import torch
 from onnxsim import simplify
 import onnx
 from const import TMP_DIR, EnumInferenceTypes
-from data.ModelSlot import ModelSlot
+from data.ModelSlot import RVCModelSlot
 from voice_changer.RVC.deviceManager.DeviceManager import DeviceManager
 from voice_changer.RVC.onnxExporter.SynthesizerTrnMs256NSFsid_ONNX import (
     SynthesizerTrnMs256NSFsid_ONNX,
@@ -24,10 +24,12 @@ from voice_changer.RVC.onnxExporter.SynthesizerTrnMsNSFsidNono_webui_ONNX import
 from voice_changer.RVC.onnxExporter.SynthesizerTrnMsNSFsid_webui_ONNX import (
     SynthesizerTrnMsNSFsid_webui_ONNX,
 )
+from voice_changer.VoiceChangerParamsManager import VoiceChangerParamsManager
 
 
-def export2onnx(gpu: int, modelSlot: ModelSlot):
-    modelFile = modelSlot.modelFile
+def export2onnx(gpu: int, modelSlot: RVCModelSlot):
+    vcparams = VoiceChangerParamsManager.get_instance().params
+    modelFile = os.path.join(vcparams.model_dir, str(modelSlot.slotIndex), os.path.basename(modelSlot.modelFile))
 
     output_file = os.path.splitext(os.path.basename(modelFile))[0] + ".onnx"
     output_file_simple = os.path.splitext(os.path.basename(modelFile))[0] + "_simple.onnx"

server/voice_changer/RVC/pipeline/PipelineGenerator.py

@@ -9,15 +9,17 @@ from voice_changer.RVC.embedder.EmbedderManager import EmbedderManager
 from voice_changer.RVC.inferencer.InferencerManager import InferencerManager
 from voice_changer.RVC.pipeline.Pipeline import Pipeline
 from voice_changer.RVC.pitchExtractor.PitchExtractorManager import PitchExtractorManager
+from voice_changer.utils.VoiceChangerParams import VoiceChangerParams
 
 
-def createPipeline(modelSlot: RVCModelSlot, gpu: int, f0Detector: str):
+def createPipeline(params: VoiceChangerParams, modelSlot: RVCModelSlot, gpu: int, f0Detector: str):
     dev = DeviceManager.get_instance().getDevice(gpu)
     half = DeviceManager.get_instance().halfPrecisionAvailable(gpu)
 
     # Inferencer 生成
     try:
-        inferencer = InferencerManager.getInferencer(modelSlot.modelType, modelSlot.modelFile, gpu)
+        modelPath = os.path.join(params.model_dir, str(modelSlot.slotIndex), os.path.basename(modelSlot.modelFile))
+        inferencer = InferencerManager.getInferencer(modelSlot.modelType, modelPath, gpu)
     except Exception as e:
         print("[Voice Changer] exception! loading inferencer", e)
         traceback.print_exc()
@@ -40,7 +42,8 @@ def createPipeline(modelSlot: RVCModelSlot, gpu: int, f0Detector: str):
     pitchExtractor = PitchExtractorManager.getPitchExtractor(f0Detector, gpu)
 
     # index, feature
-    index = _loadIndex(modelSlot)
+    indexPath = os.path.join(params.model_dir, str(modelSlot.slotIndex), os.path.basename(modelSlot.indexFile))
+    index = _loadIndex(indexPath)
 
     pipeline = Pipeline(
         embedder,
@@ -55,21 +58,17 @@ def createPipeline(modelSlot: RVCModelSlot, gpu: int, f0Detector: str):
     return pipeline
 
 
-def _loadIndex(modelSlot: RVCModelSlot):
+def _loadIndex(indexPath: str):
     # Indexのロード
     print("[Voice Changer] Loading index...")
-    # ファイル指定がない場合はNone
-    if modelSlot.indexFile is None:
-        print("[Voice Changer] Index is None, not used")
-        return None
-
     # ファイル指定があってもファイルがない場合はNone
-    if os.path.exists(modelSlot.indexFile) is not True:
+    if os.path.exists(indexPath) is not True or os.path.isfile(indexPath) is not True:
+        print("[Voice Changer] Index file is not found")
         return None
 
     try:
-        print("Try loading...", modelSlot.indexFile)
-        index = faiss.read_index(modelSlot.indexFile)
+        print("Try loading...", indexPath)
+        index = faiss.read_index(indexPath)
     except: # NOQA
         print("[Voice Changer] load index failed. Use no index.")
         traceback.print_exc()

server/voice_changer/SoVitsSvc40/SoVitsSvc40.py

@@ -1,6 +1,7 @@
 import sys
 import os
 from data.ModelSlot import SoVitsSvc40ModelSlot
+from voice_changer.VoiceChangerParamsManager import VoiceChangerParamsManager
 
 from voice_changer.utils.VoiceChangerModel import AudioInOut
 from voice_changer.utils.VoiceChangerParams import VoiceChangerParams
@@ -92,13 +93,17 @@ class SoVitsSvc40:
 
     def initialize(self):
         print("[Voice Changer] [so-vits-svc40] Initializing... ")
-        self.hps = get_hparams_from_file(self.slotInfo.configFile)
+        vcparams = VoiceChangerParamsManager.get_instance().params
+        configPath = os.path.join(vcparams.model_dir, str(self.slotInfo.slotIndex), self.slotInfo.configFile)
+        modelPath = os.path.join(vcparams.model_dir, str(self.slotInfo.slotIndex), self.slotInfo.modelFile)
+        self.hps = get_hparams_from_file(configPath)
         self.settings.speakers = self.hps.spk
 
         # cluster
         try:
             if self.slotInfo.clusterFile is not None:
-                self.cluster_model = get_cluster_model(self.slotInfo.clusterFile)
+                clusterPath = os.path.join(vcparams.model_dir, str(self.slotInfo.slotIndex), self.slotInfo.clusterFile)
+                self.cluster_model = get_cluster_model(clusterPath)
             else:
                 self.cluster_model = None
         except Exception as e:
@@ -110,7 +115,7 @@ class SoVitsSvc40:
         if self.slotInfo.isONNX:
             providers, options = self.getOnnxExecutionProvider()
             self.onnx_session = onnxruntime.InferenceSession(
-                self.slotInfo.modelFile,
+                modelPath,
                 providers=providers,
                 provider_options=options,
             )
@@ -122,7 +127,7 @@ class SoVitsSvc40:
             )
             net_g.eval()
             self.net_g = net_g
-            load_checkpoint(self.slotInfo.modelFile, self.net_g, None)
+            load_checkpoint(modelPath, self.net_g, None)
 
     def getOnnxExecutionProvider(self):
         availableProviders = onnxruntime.get_available_providers()
@@ -379,6 +384,10 @@ class SoVitsSvc40:
             except Exception:  # type:ignore
                 pass
 
+    def get_model_current(self):
+        return [
+        ]
+
 
 def resize_f0(x, target_len):
     source = np.array(x)

server/voice_changer/VoiceChangerManager.py

@@ -11,6 +11,7 @@ from voice_changer.ModelSlotManager import ModelSlotManager
 from voice_changer.RVC.RVCModelMerger import RVCModelMerger
 from voice_changer.VoiceChanger import VoiceChanger
 from const import STORED_SETTING_FILE, UPLOAD_DIR
+from voice_changer.VoiceChangerParamsManager import VoiceChangerParamsManager
 from voice_changer.VoiceChangerV2 import VoiceChangerV2
 from voice_changer.utils.LoadModelParams import LoadModelParamFile, LoadModelParams
 from voice_changer.utils.ModelMerger import MergeElement, ModelMergerRequest
@@ -120,8 +121,9 @@ class VoiceChangerManager(ServerDeviceCallbacks):
     @classmethod
     def get_instance(cls, params: VoiceChangerParams):
         if cls._instance is None:
+            vcparams = VoiceChangerParamsManager.get_instance()
+            vcparams.setParams(params)
             cls._instance = cls(params)
-            # cls._instance.voiceChanger = VoiceChanger(params)
         return cls._instance
 
     def loadModel(self, params: LoadModelParams):
@@ -147,7 +149,7 @@ class VoiceChangerManager(ServerDeviceCallbacks):
                 os.makedirs(dstDir, exist_ok=True)
                 logger.info(f"move to {srcPath} -> {dstPath}")
                 shutil.move(srcPath, dstPath)
-                file.name = dstPath
+                file.name = os.path.basename(dstPath)
 
             # メタデータ作成(各VCで定義)
             if params.voiceChangerType == "RVC":
@@ -188,6 +190,7 @@ class VoiceChangerManager(ServerDeviceCallbacks):
         data["modelSlots"] = self.modelSlotManager.getAllSlotInfo(reload=True)
         data["sampleModels"] = getSampleInfos(self.params.sample_mode)
         data["python"] = sys.version
+        data["voiceChangerParams"] = self.params
 
         data["status"] = "OK"
 

server/voice_changer/VoiceChangerParamsManager.py

@@ -0,0 +1,17 @@
+from voice_changer.utils.VoiceChangerParams import VoiceChangerParams
+
+
+class VoiceChangerParamsManager:
+    _instance = None
+
+    def __init__(self):
+        self.params = None
+
+    @classmethod
+    def get_instance(cls):
+        if cls._instance is None:
+            cls._instance = cls()
+        return cls._instance
+    
+    def setParams(self, params: VoiceChangerParams):
+        self.params = params