From 8c781a6a449bdac7637e47d61bb3f782cc9e7e26 Mon Sep 17 00:00:00 2001 From: Ettore Di Giacinto Date: Wed, 9 Aug 2023 08:38:51 +0200 Subject: [PATCH] feat: Add Diffusers (#874) Signed-off-by: Ettore Di Giacinto --- Dockerfile | 10 +- Makefile | 1 + api/api_test.go | 3 + api/backend/embeddings.go | 2 +- api/backend/image.go | 11 +- api/backend/llm.go | 2 +- api/backend/options.go | 50 ++-- api/config/config.go | 88 ++++--- api/openai/image.go | 5 +- api/openai/request.go | 8 +- extra/grpc/autogptq/backend_pb2.py | 36 +-- extra/grpc/bark/backend_pb2.py | 36 +-- extra/grpc/diffusers/backend_diffusers.py | 114 +++++++++ extra/grpc/diffusers/backend_pb2.py | 49 ++++ extra/grpc/diffusers/backend_pb2_grpc.py | 297 ++++++++++++++++++++++ extra/grpc/huggingface/backend_pb2.py | 36 +-- extra/requirements.txt | 4 +- pkg/grpc/proto/backend.pb.go | 197 ++++++++------ pkg/grpc/proto/backend.proto | 5 + pkg/model/initializers.go | 2 +- pkg/model/options.go | 2 +- 21 files changed, 741 insertions(+), 217 deletions(-) create mode 100755 extra/grpc/diffusers/backend_diffusers.py create mode 100644 extra/grpc/diffusers/backend_pb2.py create mode 100644 extra/grpc/diffusers/backend_pb2_grpc.py diff --git a/Dockerfile b/Dockerfile index 10fefae3..d53186f1 100644 --- a/Dockerfile +++ b/Dockerfile @@ -11,7 +11,7 @@ ARG TARGETARCH ARG TARGETVARIANT ENV BUILD_TYPE=${BUILD_TYPE} -ENV EXTERNAL_GRPC_BACKENDS="huggingface-embeddings:/build/extra/grpc/huggingface/huggingface.py,autogptq:/build/extra/grpc/autogptq/autogptq.py,bark:/build/extra/grpc/bark/ttsbark.py" +ENV EXTERNAL_GRPC_BACKENDS="huggingface-embeddings:/build/extra/grpc/huggingface/huggingface.py,autogptq:/build/extra/grpc/autogptq/autogptq.py,bark:/build/extra/grpc/bark/ttsbark.py,diffusers:/build/extra/grpc/diffusers/backend_diffusers.py" ARG GO_TAGS="stablediffusion tts" RUN apt-get update && \ @@ -35,10 +35,14 @@ ENV PATH /usr/local/cuda/bin:${PATH} # Extras requirements COPY extra/requirements.txt /build/extra/requirements.txt - +ENV PATH="/root/.cargo/bin:${PATH}" RUN pip install --upgrade pip +RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y RUN if [ "${TARGETARCH}" = "amd64" ]; then \ - pip install auto-gptq;\ + pip install git+https://github.com/suno-ai/bark.git diffusers invisible_watermark transformers accelerate safetensors;\ + fi +RUN if [ "${BUILD_TYPE}" = "cublas" ] && [ "${TARGETARCH}" = "amd64" ]; then \ + pip install torch && pip install auto-gptq;\ fi RUN pip install -r /build/extra/requirements.txt && rm -rf /build/extra/requirements.txt diff --git a/Makefile b/Makefile index 2f12d57f..b803906f 100644 --- a/Makefile +++ b/Makefile @@ -338,6 +338,7 @@ protogen-python: python3 -m grpc_tools.protoc -Ipkg/grpc/proto/ --python_out=extra/grpc/huggingface/ --grpc_python_out=extra/grpc/huggingface/ pkg/grpc/proto/backend.proto python3 -m grpc_tools.protoc -Ipkg/grpc/proto/ --python_out=extra/grpc/autogptq/ --grpc_python_out=extra/grpc/autogptq/ pkg/grpc/proto/backend.proto python3 -m grpc_tools.protoc -Ipkg/grpc/proto/ --python_out=extra/grpc/bark/ --grpc_python_out=extra/grpc/bark/ pkg/grpc/proto/backend.proto + python3 -m grpc_tools.protoc -Ipkg/grpc/proto/ --python_out=extra/grpc/diffusers/ --grpc_python_out=extra/grpc/diffusers/ pkg/grpc/proto/backend.proto ## GRPC diff --git a/api/api_test.go b/api/api_test.go index a58165c3..ef1e980b 100644 --- a/api/api_test.go +++ b/api/api_test.go @@ -470,6 +470,9 @@ var _ = Describe("API test", func() { response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{ ID: "model-gallery@stablediffusion", + Overrides: map[string]interface{}{ + "parameters": map[string]interface{}{"model": "stablediffusion_assets"}, + }, }) Expect(response["uuid"]).ToNot(BeEmpty(), fmt.Sprint(response)) diff --git a/api/backend/embeddings.go b/api/backend/embeddings.go index c6ebad52..5f102c43 100644 --- a/api/backend/embeddings.go +++ b/api/backend/embeddings.go @@ -23,7 +23,7 @@ func ModelEmbedding(s string, tokens []int, loader *model.ModelLoader, c config. var err error opts := []model.Option{ - model.WithLoadGRPCLLMModelOpts(grpcOpts), + model.WithLoadGRPCLoadModelOpts(grpcOpts), model.WithThreads(uint32(c.Threads)), model.WithAssetDir(o.AssetsDestination), model.WithModel(modelFile), diff --git a/api/backend/image.go b/api/backend/image.go index f3b3a9d7..d2e797f3 100644 --- a/api/backend/image.go +++ b/api/backend/image.go @@ -1,7 +1,6 @@ package backend import ( - "fmt" "sync" config "github.com/go-skynet/LocalAI/api/config" @@ -11,16 +10,18 @@ import ( ) func ImageGeneration(height, width, mode, step, seed int, positive_prompt, negative_prompt, dst string, loader *model.ModelLoader, c config.Config, o *options.Option) (func() error, error) { - if c.Backend != model.StableDiffusionBackend { - return nil, fmt.Errorf("endpoint only working with stablediffusion models") - } opts := []model.Option{ model.WithBackendString(c.Backend), model.WithAssetDir(o.AssetsDestination), model.WithThreads(uint32(c.Threads)), model.WithContext(o.Context), - model.WithModel(c.ImageGenerationAssets), + model.WithModel(c.Model), + model.WithLoadGRPCLoadModelOpts(&proto.ModelOptions{ + CUDA: c.Diffusers.CUDA, + SchedulerType: c.Diffusers.SchedulerType, + PipelineType: c.Diffusers.PipelineType, + }), } for k, v := range o.ExternalGRPCBackends { diff --git a/api/backend/llm.go b/api/backend/llm.go index 804df582..a98bfb21 100644 --- a/api/backend/llm.go +++ b/api/backend/llm.go @@ -24,7 +24,7 @@ func ModelInference(ctx context.Context, s string, loader *model.ModelLoader, c var err error opts := []model.Option{ - model.WithLoadGRPCLLMModelOpts(grpcOpts), + model.WithLoadGRPCLoadModelOpts(grpcOpts), model.WithThreads(uint32(c.Threads)), // some models uses this to allocate threads during startup model.WithAssetDir(o.AssetsDestination), model.WithModel(modelFile), diff --git a/api/backend/options.go b/api/backend/options.go index b5df485e..7ba8d1be 100644 --- a/api/backend/options.go +++ b/api/backend/options.go @@ -15,27 +15,29 @@ func gRPCModelOpts(c config.Config) *pb.ModelOptions { b = c.Batch } return &pb.ModelOptions{ - ContextSize: int32(c.ContextSize), - Seed: int32(c.Seed), - NBatch: int32(b), - NGQA: c.NGQA, - ModelBaseName: c.ModelBaseName, - UseFastTokenizer: c.UseFastTokenizer, - Device: c.Device, - UseTriton: c.Triton, - RMSNormEps: c.RMSNormEps, - F16Memory: c.F16, - MLock: c.MMlock, - RopeFreqBase: c.RopeFreqBase, - RopeFreqScale: c.RopeFreqScale, - NUMA: c.NUMA, - Embeddings: c.Embeddings, - LowVRAM: c.LowVRAM, - NGPULayers: int32(c.NGPULayers), - MMap: c.MMap, - MainGPU: c.MainGPU, - Threads: int32(c.Threads), - TensorSplit: c.TensorSplit, + ContextSize: int32(c.ContextSize), + Seed: int32(c.Seed), + NBatch: int32(b), + NGQA: c.NGQA, + + RMSNormEps: c.RMSNormEps, + F16Memory: c.F16, + MLock: c.MMlock, + RopeFreqBase: c.RopeFreqBase, + RopeFreqScale: c.RopeFreqScale, + NUMA: c.NUMA, + Embeddings: c.Embeddings, + LowVRAM: c.LowVRAM, + NGPULayers: int32(c.NGPULayers), + MMap: c.MMap, + MainGPU: c.MainGPU, + Threads: int32(c.Threads), + TensorSplit: c.TensorSplit, + // AutoGPTQ + ModelBaseName: c.AutoGPTQ.ModelBaseName, + Device: c.AutoGPTQ.Device, + UseTriton: c.AutoGPTQ.Triton, + UseFastTokenizer: c.AutoGPTQ.UseFastTokenizer, } } @@ -62,9 +64,9 @@ func gRPCPredictOpts(c config.Config, modelPath string) *pb.PredictOptions { RopeFreqBase: c.RopeFreqBase, RopeFreqScale: c.RopeFreqScale, NegativePrompt: c.NegativePrompt, - Mirostat: int32(c.Mirostat), - MirostatETA: float32(c.MirostatETA), - MirostatTAU: float32(c.MirostatTAU), + Mirostat: int32(c.LLMConfig.Mirostat), + MirostatETA: float32(c.LLMConfig.MirostatETA), + MirostatTAU: float32(c.LLMConfig.MirostatTAU), Debug: c.Debug, StopPrompts: c.StopWords, Repeat: int32(c.RepeatPenalty), diff --git a/api/config/config.go b/api/config/config.go index 47ce3408..e61c312a 100644 --- a/api/config/config.go +++ b/api/config/config.go @@ -13,49 +13,65 @@ import ( type Config struct { PredictionOptions `yaml:"parameters"` - Name string `yaml:"name"` - StopWords []string `yaml:"stopwords"` - Cutstrings []string `yaml:"cutstrings"` - TrimSpace []string `yaml:"trimspace"` - ContextSize int `yaml:"context_size"` - F16 bool `yaml:"f16"` - NUMA bool `yaml:"numa"` - Threads int `yaml:"threads"` - Debug bool `yaml:"debug"` - Roles map[string]string `yaml:"roles"` - Embeddings bool `yaml:"embeddings"` - Backend string `yaml:"backend"` - TemplateConfig TemplateConfig `yaml:"template"` - MirostatETA float64 `yaml:"mirostat_eta"` - MirostatTAU float64 `yaml:"mirostat_tau"` - Mirostat int `yaml:"mirostat"` - NGPULayers int `yaml:"gpu_layers"` - MMap bool `yaml:"mmap"` - MMlock bool `yaml:"mmlock"` - LowVRAM bool `yaml:"low_vram"` + Name string `yaml:"name"` - TensorSplit string `yaml:"tensor_split"` - MainGPU string `yaml:"main_gpu"` - ImageGenerationAssets string `yaml:"asset_dir"` + F16 bool `yaml:"f16"` + Threads int `yaml:"threads"` + Debug bool `yaml:"debug"` + Roles map[string]string `yaml:"roles"` + Embeddings bool `yaml:"embeddings"` + Backend string `yaml:"backend"` + TemplateConfig TemplateConfig `yaml:"template"` - PromptCachePath string `yaml:"prompt_cache_path"` - PromptCacheAll bool `yaml:"prompt_cache_all"` - PromptCacheRO bool `yaml:"prompt_cache_ro"` - - Grammar string `yaml:"grammar"` - - PromptStrings, InputStrings []string - InputToken [][]int - functionCallString, functionCallNameString string + PromptStrings, InputStrings []string `yaml:"-"` + InputToken [][]int `yaml:"-"` + functionCallString, functionCallNameString string `yaml:"-"` FunctionsConfig Functions `yaml:"function"` - SystemPrompt string `yaml:"system_prompt"` + // LLM configs (GPT4ALL, Llama.cpp, ...) + LLMConfig `yaml:",inline"` - RMSNormEps float32 `yaml:"rms_norm_eps"` - NGQA int32 `yaml:"ngqa"` + // AutoGPTQ specifics + AutoGPTQ AutoGPTQ `yaml:"autogptq"` - // AutoGPTQ + // Diffusers + Diffusers Diffusers `yaml:"diffusers"` + + Step int `yaml:"step"` +} + +type Diffusers struct { + PipelineType string `yaml:"pipeline_type"` + SchedulerType string `yaml:"scheduler_type"` + CUDA bool `yaml:"cuda"` +} + +type LLMConfig struct { + SystemPrompt string `yaml:"system_prompt"` + TensorSplit string `yaml:"tensor_split"` + MainGPU string `yaml:"main_gpu"` + RMSNormEps float32 `yaml:"rms_norm_eps"` + NGQA int32 `yaml:"ngqa"` + PromptCachePath string `yaml:"prompt_cache_path"` + PromptCacheAll bool `yaml:"prompt_cache_all"` + PromptCacheRO bool `yaml:"prompt_cache_ro"` + MirostatETA float64 `yaml:"mirostat_eta"` + MirostatTAU float64 `yaml:"mirostat_tau"` + Mirostat int `yaml:"mirostat"` + NGPULayers int `yaml:"gpu_layers"` + MMap bool `yaml:"mmap"` + MMlock bool `yaml:"mmlock"` + LowVRAM bool `yaml:"low_vram"` + Grammar string `yaml:"grammar"` + StopWords []string `yaml:"stopwords"` + Cutstrings []string `yaml:"cutstrings"` + TrimSpace []string `yaml:"trimspace"` + ContextSize int `yaml:"context_size"` + NUMA bool `yaml:"numa"` +} + +type AutoGPTQ struct { ModelBaseName string `yaml:"model_base_name"` Device string `yaml:"device"` Triton bool `yaml:"triton"` diff --git a/api/openai/image.go b/api/openai/image.go index d5cf9f2b..ead31d87 100644 --- a/api/openai/image.go +++ b/api/openai/image.go @@ -89,7 +89,10 @@ func ImageEndpoint(cm *config.ConfigLoader, o *options.Option) func(c *fiber.Ctx } mode := 0 - step := 15 + step := config.Step + if step == 0 { + step = 15 + } if input.Mode != 0 { mode = input.Mode diff --git a/api/openai/request.go b/api/openai/request.go index 2938757b..426098d7 100644 --- a/api/openai/request.go +++ b/api/openai/request.go @@ -76,7 +76,7 @@ func updateConfig(config *config.Config, input *OpenAIRequest) { } if input.ModelBaseName != "" { - config.ModelBaseName = input.ModelBaseName + config.AutoGPTQ.ModelBaseName = input.ModelBaseName } if input.NegativePromptScale != 0 { @@ -149,15 +149,15 @@ func updateConfig(config *config.Config, input *OpenAIRequest) { } if input.Mirostat != 0 { - config.Mirostat = input.Mirostat + config.LLMConfig.Mirostat = input.Mirostat } if input.MirostatETA != 0 { - config.MirostatETA = input.MirostatETA + config.LLMConfig.MirostatETA = input.MirostatETA } if input.MirostatTAU != 0 { - config.MirostatTAU = input.MirostatTAU + config.LLMConfig.MirostatTAU = input.MirostatTAU } if input.TypicalP != 0 { diff --git a/extra/grpc/autogptq/backend_pb2.py b/extra/grpc/autogptq/backend_pb2.py index e8d2d30c..214e3720 100644 --- a/extra/grpc/autogptq/backend_pb2.py +++ b/extra/grpc/autogptq/backend_pb2.py @@ -13,7 +13,7 @@ _sym_db = _symbol_database.Default() -DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\rbackend.proto\x12\x07\x62\x61\x63kend\"\x0f\n\rHealthMessage\"\x86\x06\n\x0ePredictOptions\x12\x0e\n\x06Prompt\x18\x01 \x01(\t\x12\x0c\n\x04Seed\x18\x02 \x01(\x05\x12\x0f\n\x07Threads\x18\x03 \x01(\x05\x12\x0e\n\x06Tokens\x18\x04 \x01(\x05\x12\x0c\n\x04TopK\x18\x05 \x01(\x05\x12\x0e\n\x06Repeat\x18\x06 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\x01(\x02\x12\x12\n\nPenalizeNL\x18\x16 \x01(\x08\x12\x11\n\tLogitBias\x18\x17 \x01(\t\x12\r\n\x05MLock\x18\x19 \x01(\x08\x12\x0c\n\x04MMap\x18\x1a \x01(\x08\x12\x16\n\x0ePromptCacheAll\x18\x1b \x01(\x08\x12\x15\n\rPromptCacheRO\x18\x1c \x01(\x08\x12\x0f\n\x07Grammar\x18\x1d \x01(\t\x12\x0f\n\x07MainGPU\x18\x1e \x01(\t\x12\x13\n\x0bTensorSplit\x18\x1f \x01(\t\x12\x0c\n\x04TopP\x18 \x01(\x02\x12\x17\n\x0fPromptCachePath\x18! \x01(\t\x12\r\n\x05\x44\x65\x62ug\x18\" \x01(\x08\x12\x17\n\x0f\x45mbeddingTokens\x18# \x03(\x05\x12\x12\n\nEmbeddings\x18$ \x01(\t\x12\x14\n\x0cRopeFreqBase\x18% \x01(\x02\x12\x15\n\rRopeFreqScale\x18& \x01(\x02\x12\x1b\n\x13NegativePromptScale\x18\' \x01(\x02\x12\x16\n\x0eNegativePrompt\x18( \x01(\t\"\x18\n\x05Reply\x12\x0f\n\x07message\x18\x01 \x01(\x0c\"\x9d\x04\n\x0cModelOptions\x12\r\n\x05Model\x18\x01 \x01(\t\x12\x13\n\x0b\x43ontextSize\x18\x02 \x01(\x05\x12\x0c\n\x04Seed\x18\x03 \x01(\x05\x12\x0e\n\x06NBatch\x18\x04 \x01(\x05\x12\x11\n\tF16Memory\x18\x05 \x01(\x08\x12\r\n\x05MLock\x18\x06 \x01(\x08\x12\x0c\n\x04MMap\x18\x07 \x01(\x08\x12\x11\n\tVocabOnly\x18\x08 \x01(\x08\x12\x0f\n\x07LowVRAM\x18\t \x01(\x08\x12\x12\n\nEmbeddings\x18\n \x01(\x08\x12\x0c\n\x04NUMA\x18\x0b \x01(\x08\x12\x12\n\nNGPULayers\x18\x0c \x01(\x05\x12\x0f\n\x07MainGPU\x18\r \x01(\t\x12\x13\n\x0bTensorSplit\x18\x0e \x01(\t\x12\x0f\n\x07Threads\x18\x0f \x01(\x05\x12\x19\n\x11LibrarySearchPath\x18\x10 \x01(\t\x12\x14\n\x0cRopeFreqBase\x18\x11 \x01(\x02\x12\x15\n\rRopeFreqScale\x18\x12 \x01(\x02\x12\x12\n\nRMSNormEps\x18\x13 \x01(\x02\x12\x0c\n\x04NGQA\x18\x14 \x01(\x05\x12\x11\n\tModelFile\x18\x15 \x01(\t\x12\x0e\n\x06\x44\x65vice\x18\x16 \x01(\t\x12\x11\n\tUseTriton\x18\x17 \x01(\x08\x12\x15\n\rModelBaseName\x18\x18 \x01(\t\x12\x18\n\x10UseFastTokenizer\x18\x19 \x01(\x08\x12\x14\n\x0cPipelineType\x18\x1a \x01(\t\x12\x15\n\rSchedulerType\x18\x1b \x01(\t\x12\x0c\n\x04\x43UDA\x18\x1c \x01(\x08\"*\n\x06Result\x12\x0f\n\x07message\x18\x01 \x01(\t\x12\x0f\n\x07success\x18\x02 \x01(\x08\"%\n\x0f\x45mbeddingResult\x12\x12\n\nembeddings\x18\x01 \x03(\x02\"C\n\x11TranscriptRequest\x12\x0b\n\x03\x64st\x18\x02 \x01(\t\x12\x10\n\x08language\x18\x03 \x01(\t\x12\x0f\n\x07threads\x18\x04 \x01(\r\"N\n\x10TranscriptResult\x12,\n\x08segments\x18\x01 \x03(\x0b\x32\x1a.backend.TranscriptSegment\x12\x0c\n\x04text\x18\x02 \x01(\t\"Y\n\x11TranscriptSegment\x12\n\n\x02id\x18\x01 \x01(\x05\x12\r\n\x05start\x18\x02 \x01(\x03\x12\x0b\n\x03\x65nd\x18\x03 \x01(\x03\x12\x0c\n\x04text\x18\x04 \x01(\t\x12\x0e\n\x06tokens\x18\x05 \x03(\x05\"\x9e\x01\n\x14GenerateImageRequest\x12\x0e\n\x06height\x18\x01 \x01(\x05\x12\r\n\x05width\x18\x02 \x01(\x05\x12\x0c\n\x04mode\x18\x03 \x01(\x05\x12\x0c\n\x04step\x18\x04 \x01(\x05\x12\x0c\n\x04seed\x18\x05 \x01(\x05\x12\x17\n\x0fpositive_prompt\x18\x06 \x01(\t\x12\x17\n\x0fnegative_prompt\x18\x07 \x01(\t\x12\x0b\n\x03\x64st\x18\x08 \x01(\t\"6\n\nTTSRequest\x12\x0c\n\x04text\x18\x01 \x01(\t\x12\r\n\x05model\x18\x02 \x01(\t\x12\x0b\n\x03\x64st\x18\x03 \x01(\t2\xeb\x03\n\x07\x42\x61\x63kend\x12\x32\n\x06Health\x12\x16.backend.HealthMessage\x1a\x0e.backend.Reply\"\x00\x12\x34\n\x07Predict\x12\x17.backend.PredictOptions\x1a\x0e.backend.Reply\"\x00\x12\x35\n\tLoadModel\x12\x15.backend.ModelOptions\x1a\x0f.backend.Result\"\x00\x12<\n\rPredictStream\x12\x17.backend.PredictOptions\x1a\x0e.backend.Reply\"\x00\x30\x01\x12@\n\tEmbedding\x12\x17.backend.PredictOptions\x1a\x18.backend.EmbeddingResult\"\x00\x12\x41\n\rGenerateImage\x12\x1d.backend.GenerateImageRequest\x1a\x0f.backend.Result\"\x00\x12M\n\x12\x41udioTranscription\x12\x1a.backend.TranscriptRequest\x1a\x19.backend.TranscriptResult\"\x00\x12-\n\x03TTS\x12\x13.backend.TTSRequest\x1a\x0f.backend.Result\"\x00\x42Z\n\x19io.skynet.localai.backendB\x0eLocalAIBackendP\x01Z+github.com/go-skynet/LocalAI/pkg/grpc/protob\x06proto3') _globals = globals() _builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals) @@ -29,21 +29,21 @@ if _descriptor._USE_C_DESCRIPTORS == False: _globals['_REPLY']._serialized_start=820 _globals['_REPLY']._serialized_end=844 _globals['_MODELOPTIONS']._serialized_start=847 - _globals['_MODELOPTIONS']._serialized_end=1329 - _globals['_RESULT']._serialized_start=1331 - _globals['_RESULT']._serialized_end=1373 - _globals['_EMBEDDINGRESULT']._serialized_start=1375 - _globals['_EMBEDDINGRESULT']._serialized_end=1412 - _globals['_TRANSCRIPTREQUEST']._serialized_start=1414 - _globals['_TRANSCRIPTREQUEST']._serialized_end=1481 - _globals['_TRANSCRIPTRESULT']._serialized_start=1483 - _globals['_TRANSCRIPTRESULT']._serialized_end=1561 - _globals['_TRANSCRIPTSEGMENT']._serialized_start=1563 - _globals['_TRANSCRIPTSEGMENT']._serialized_end=1652 - _globals['_GENERATEIMAGEREQUEST']._serialized_start=1655 - _globals['_GENERATEIMAGEREQUEST']._serialized_end=1813 - _globals['_TTSREQUEST']._serialized_start=1815 - _globals['_TTSREQUEST']._serialized_end=1869 - _globals['_BACKEND']._serialized_start=1872 - _globals['_BACKEND']._serialized_end=2363 + _globals['_MODELOPTIONS']._serialized_end=1388 + _globals['_RESULT']._serialized_start=1390 + _globals['_RESULT']._serialized_end=1432 + _globals['_EMBEDDINGRESULT']._serialized_start=1434 + _globals['_EMBEDDINGRESULT']._serialized_end=1471 + _globals['_TRANSCRIPTREQUEST']._serialized_start=1473 + _globals['_TRANSCRIPTREQUEST']._serialized_end=1540 + _globals['_TRANSCRIPTRESULT']._serialized_start=1542 + _globals['_TRANSCRIPTRESULT']._serialized_end=1620 + _globals['_TRANSCRIPTSEGMENT']._serialized_start=1622 + _globals['_TRANSCRIPTSEGMENT']._serialized_end=1711 + _globals['_GENERATEIMAGEREQUEST']._serialized_start=1714 + _globals['_GENERATEIMAGEREQUEST']._serialized_end=1872 + _globals['_TTSREQUEST']._serialized_start=1874 + _globals['_TTSREQUEST']._serialized_end=1928 + _globals['_BACKEND']._serialized_start=1931 + _globals['_BACKEND']._serialized_end=2422 # @@protoc_insertion_point(module_scope) diff --git a/extra/grpc/bark/backend_pb2.py b/extra/grpc/bark/backend_pb2.py index e8d2d30c..214e3720 100644 --- a/extra/grpc/bark/backend_pb2.py +++ b/extra/grpc/bark/backend_pb2.py @@ -13,7 +13,7 @@ _sym_db = _symbol_database.Default() -DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\rbackend.proto\x12\x07\x62\x61\x63kend\"\x0f\n\rHealthMessage\"\x86\x06\n\x0ePredictOptions\x12\x0e\n\x06Prompt\x18\x01 \x01(\t\x12\x0c\n\x04Seed\x18\x02 \x01(\x05\x12\x0f\n\x07Threads\x18\x03 \x01(\x05\x12\x0e\n\x06Tokens\x18\x04 \x01(\x05\x12\x0c\n\x04TopK\x18\x05 \x01(\x05\x12\x0e\n\x06Repeat\x18\x06 \x01(\x05\x12\r\n\x05\x42\x61tch\x18\x07 \x01(\x05\x12\r\n\x05NKeep\x18\x08 \x01(\x05\x12\x13\n\x0bTemperature\x18\t \x01(\x02\x12\x0f\n\x07Penalty\x18\n \x01(\x02\x12\r\n\x05\x46\x31\x36KV\x18\x0b \x01(\x08\x12\x11\n\tDebugMode\x18\x0c \x01(\x08\x12\x13\n\x0bStopPrompts\x18\r \x03(\t\x12\x11\n\tIgnoreEOS\x18\x0e 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+29,21 @@ if _descriptor._USE_C_DESCRIPTORS == False: _globals['_REPLY']._serialized_start=820 _globals['_REPLY']._serialized_end=844 _globals['_MODELOPTIONS']._serialized_start=847 - _globals['_MODELOPTIONS']._serialized_end=1329 - _globals['_RESULT']._serialized_start=1331 - _globals['_RESULT']._serialized_end=1373 - _globals['_EMBEDDINGRESULT']._serialized_start=1375 - _globals['_EMBEDDINGRESULT']._serialized_end=1412 - _globals['_TRANSCRIPTREQUEST']._serialized_start=1414 - _globals['_TRANSCRIPTREQUEST']._serialized_end=1481 - _globals['_TRANSCRIPTRESULT']._serialized_start=1483 - _globals['_TRANSCRIPTRESULT']._serialized_end=1561 - _globals['_TRANSCRIPTSEGMENT']._serialized_start=1563 - _globals['_TRANSCRIPTSEGMENT']._serialized_end=1652 - _globals['_GENERATEIMAGEREQUEST']._serialized_start=1655 - _globals['_GENERATEIMAGEREQUEST']._serialized_end=1813 - _globals['_TTSREQUEST']._serialized_start=1815 - _globals['_TTSREQUEST']._serialized_end=1869 - _globals['_BACKEND']._serialized_start=1872 - _globals['_BACKEND']._serialized_end=2363 + _globals['_MODELOPTIONS']._serialized_end=1388 + _globals['_RESULT']._serialized_start=1390 + _globals['_RESULT']._serialized_end=1432 + _globals['_EMBEDDINGRESULT']._serialized_start=1434 + _globals['_EMBEDDINGRESULT']._serialized_end=1471 + _globals['_TRANSCRIPTREQUEST']._serialized_start=1473 + _globals['_TRANSCRIPTREQUEST']._serialized_end=1540 + _globals['_TRANSCRIPTRESULT']._serialized_start=1542 + _globals['_TRANSCRIPTRESULT']._serialized_end=1620 + _globals['_TRANSCRIPTSEGMENT']._serialized_start=1622 + _globals['_TRANSCRIPTSEGMENT']._serialized_end=1711 + _globals['_GENERATEIMAGEREQUEST']._serialized_start=1714 + _globals['_GENERATEIMAGEREQUEST']._serialized_end=1872 + _globals['_TTSREQUEST']._serialized_start=1874 + _globals['_TTSREQUEST']._serialized_end=1928 + _globals['_BACKEND']._serialized_start=1931 + _globals['_BACKEND']._serialized_end=2422 # @@protoc_insertion_point(module_scope) diff --git a/extra/grpc/diffusers/backend_diffusers.py b/extra/grpc/diffusers/backend_diffusers.py new file mode 100755 index 00000000..38e988e9 --- /dev/null +++ b/extra/grpc/diffusers/backend_diffusers.py @@ -0,0 +1,114 @@ +#!/usr/bin/env python3 +import grpc +from concurrent import futures +import time +import backend_pb2 +import backend_pb2_grpc +import argparse +import signal +import sys +import os + +# import diffusers +import torch +from torch import autocast +from diffusers import StableDiffusionXLPipeline, DPMSolverMultistepScheduler, StableDiffusionPipeline, DiffusionPipeline, EulerAncestralDiscreteScheduler + +_ONE_DAY_IN_SECONDS = 60 * 60 * 24 + +# Implement the BackendServicer class with the service methods +class BackendServicer(backend_pb2_grpc.BackendServicer): + def Health(self, request, context): + return backend_pb2.Reply(message=bytes("OK", 'utf-8')) + def LoadModel(self, request, context): + try: + print(f"Loading model {request.Model}...", file=sys.stderr) + print(f"Request {request}", file=sys.stderr) + torchType = torch.float32 + if request.F16Memory: + torchType = torch.float16 + + if request.PipelineType == "": + request.PipelineType == "StableDiffusionPipeline" + + if request.PipelineType == "StableDiffusionPipeline": + self.pipe = StableDiffusionPipeline.from_pretrained(request.Model, + torch_dtype=torchType) + + if request.PipelineType == "DiffusionPipeline": + self.pipe = DiffusionPipeline.from_pretrained(request.Model, + torch_dtype=torchType) + + if request.PipelineType == "StableDiffusionXLPipeline": + self.pipe = StableDiffusionXLPipeline.from_pretrained( + request.Model, + torch_dtype=torchType, + use_safetensors=True, + # variant="fp16" + ) + + # torch_dtype needs to be customized. float16 for GPU, float32 for CPU + # TODO: this needs to be customized + if request.SchedulerType == "EulerAncestralDiscreteScheduler": + self.pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(self.pipe.scheduler.config) + if request.SchedulerType == "DPMSolverMultistepScheduler": + self.pipe.scheduler = DPMSolverMultistepScheduler.from_config(self.pipe.scheduler.config) + + if request.CUDA: + self.pipe.to('cuda') + except Exception as err: + return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}") + # Implement your logic here for the LoadModel service + # Replace this with your desired response + return backend_pb2.Result(message="Model loaded successfully", success=True) + def GenerateImage(self, request, context): + + prompt = request.positive_prompt + negative_prompt = request.negative_prompt + + image = self.pipe( + prompt, + negative_prompt=negative_prompt, + width=request.width, + height=request.height, + # guidance_scale=12, + target_size=(request.width,request.height), + original_size=(4096,4096), + num_inference_steps=request.step + ).images[0] + + image.save(request.dst) + + return backend_pb2.Result(message="Model loaded successfully", success=True) + +def serve(address): + server = grpc.server(futures.ThreadPoolExecutor(max_workers=10)) + backend_pb2_grpc.add_BackendServicer_to_server(BackendServicer(), server) + server.add_insecure_port(address) + server.start() + print("Server started. Listening on: " + address, file=sys.stderr) + + # Define the signal handler function + def signal_handler(sig, frame): + print("Received termination signal. Shutting down...") + server.stop(0) + sys.exit(0) + + # Set the signal handlers for SIGINT and SIGTERM + signal.signal(signal.SIGINT, signal_handler) + signal.signal(signal.SIGTERM, signal_handler) + + try: + while True: + time.sleep(_ONE_DAY_IN_SECONDS) + except KeyboardInterrupt: + server.stop(0) + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description="Run the gRPC server.") + parser.add_argument( + "--addr", default="localhost:50051", help="The address to bind the server to." + ) + args = parser.parse_args() + + serve(args.addr) \ No newline at end of file diff --git a/extra/grpc/diffusers/backend_pb2.py b/extra/grpc/diffusers/backend_pb2.py new file mode 100644 index 00000000..214e3720 --- /dev/null +++ b/extra/grpc/diffusers/backend_pb2.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Generated by the protocol buffer compiler. DO NOT EDIT! +# source: backend.proto +"""Generated protocol buffer code.""" +from google.protobuf import descriptor as _descriptor +from google.protobuf import descriptor_pool as _descriptor_pool +from google.protobuf import symbol_database as _symbol_database +from google.protobuf.internal import builder as _builder +# @@protoc_insertion_point(imports) + +_sym_db = _symbol_database.Default() + + + + +DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\rbackend.proto\x12\x07\x62\x61\x63kend\"\x0f\n\rHealthMessage\"\x86\x06\n\x0ePredictOptions\x12\x0e\n\x06Prompt\x18\x01 \x01(\t\x12\x0c\n\x04Seed\x18\x02 \x01(\x05\x12\x0f\n\x07Threads\x18\x03 \x01(\x05\x12\x0e\n\x06Tokens\x18\x04 \x01(\x05\x12\x0c\n\x04TopK\x18\x05 \x01(\x05\x12\x0e\n\x06Repeat\x18\x06 \x01(\x05\x12\r\n\x05\x42\x61tch\x18\x07 \x01(\x05\x12\r\n\x05NKeep\x18\x08 \x01(\x05\x12\x13\n\x0bTemperature\x18\t \x01(\x02\x12\x0f\n\x07Penalty\x18\n \x01(\x02\x12\r\n\x05\x46\x31\x36KV\x18\x0b 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\x01(\t2\xeb\x03\n\x07\x42\x61\x63kend\x12\x32\n\x06Health\x12\x16.backend.HealthMessage\x1a\x0e.backend.Reply\"\x00\x12\x34\n\x07Predict\x12\x17.backend.PredictOptions\x1a\x0e.backend.Reply\"\x00\x12\x35\n\tLoadModel\x12\x15.backend.ModelOptions\x1a\x0f.backend.Result\"\x00\x12<\n\rPredictStream\x12\x17.backend.PredictOptions\x1a\x0e.backend.Reply\"\x00\x30\x01\x12@\n\tEmbedding\x12\x17.backend.PredictOptions\x1a\x18.backend.EmbeddingResult\"\x00\x12\x41\n\rGenerateImage\x12\x1d.backend.GenerateImageRequest\x1a\x0f.backend.Result\"\x00\x12M\n\x12\x41udioTranscription\x12\x1a.backend.TranscriptRequest\x1a\x19.backend.TranscriptResult\"\x00\x12-\n\x03TTS\x12\x13.backend.TTSRequest\x1a\x0f.backend.Result\"\x00\x42Z\n\x19io.skynet.localai.backendB\x0eLocalAIBackendP\x01Z+github.com/go-skynet/LocalAI/pkg/grpc/protob\x06proto3') + +_globals = globals() +_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals) +_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'backend_pb2', _globals) +if _descriptor._USE_C_DESCRIPTORS == False: + + DESCRIPTOR._options = None + DESCRIPTOR._serialized_options = b'\n\031io.skynet.localai.backendB\016LocalAIBackendP\001Z+github.com/go-skynet/LocalAI/pkg/grpc/proto' + _globals['_HEALTHMESSAGE']._serialized_start=26 + _globals['_HEALTHMESSAGE']._serialized_end=41 + _globals['_PREDICTOPTIONS']._serialized_start=44 + _globals['_PREDICTOPTIONS']._serialized_end=818 + _globals['_REPLY']._serialized_start=820 + _globals['_REPLY']._serialized_end=844 + _globals['_MODELOPTIONS']._serialized_start=847 + _globals['_MODELOPTIONS']._serialized_end=1388 + _globals['_RESULT']._serialized_start=1390 + _globals['_RESULT']._serialized_end=1432 + _globals['_EMBEDDINGRESULT']._serialized_start=1434 + _globals['_EMBEDDINGRESULT']._serialized_end=1471 + _globals['_TRANSCRIPTREQUEST']._serialized_start=1473 + _globals['_TRANSCRIPTREQUEST']._serialized_end=1540 + _globals['_TRANSCRIPTRESULT']._serialized_start=1542 + _globals['_TRANSCRIPTRESULT']._serialized_end=1620 + _globals['_TRANSCRIPTSEGMENT']._serialized_start=1622 + _globals['_TRANSCRIPTSEGMENT']._serialized_end=1711 + _globals['_GENERATEIMAGEREQUEST']._serialized_start=1714 + _globals['_GENERATEIMAGEREQUEST']._serialized_end=1872 + _globals['_TTSREQUEST']._serialized_start=1874 + _globals['_TTSREQUEST']._serialized_end=1928 + _globals['_BACKEND']._serialized_start=1931 + _globals['_BACKEND']._serialized_end=2422 +# @@protoc_insertion_point(module_scope) diff --git a/extra/grpc/diffusers/backend_pb2_grpc.py b/extra/grpc/diffusers/backend_pb2_grpc.py new file mode 100644 index 00000000..301c0729 --- /dev/null +++ b/extra/grpc/diffusers/backend_pb2_grpc.py @@ -0,0 +1,297 @@ +# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! +"""Client and server classes corresponding to protobuf-defined services.""" +import grpc + +import backend_pb2 as backend__pb2 + + +class BackendStub(object): + """Missing associated documentation comment in .proto file.""" + + def __init__(self, channel): + """Constructor. + + Args: + channel: A grpc.Channel. + """ + self.Health = channel.unary_unary( + '/backend.Backend/Health', + request_serializer=backend__pb2.HealthMessage.SerializeToString, + response_deserializer=backend__pb2.Reply.FromString, + ) + self.Predict = channel.unary_unary( + '/backend.Backend/Predict', + request_serializer=backend__pb2.PredictOptions.SerializeToString, + response_deserializer=backend__pb2.Reply.FromString, + ) + self.LoadModel = channel.unary_unary( + '/backend.Backend/LoadModel', + request_serializer=backend__pb2.ModelOptions.SerializeToString, + response_deserializer=backend__pb2.Result.FromString, + ) + self.PredictStream = channel.unary_stream( + '/backend.Backend/PredictStream', + request_serializer=backend__pb2.PredictOptions.SerializeToString, + response_deserializer=backend__pb2.Reply.FromString, + ) + self.Embedding = channel.unary_unary( + '/backend.Backend/Embedding', + request_serializer=backend__pb2.PredictOptions.SerializeToString, + response_deserializer=backend__pb2.EmbeddingResult.FromString, + ) + self.GenerateImage = channel.unary_unary( + '/backend.Backend/GenerateImage', + request_serializer=backend__pb2.GenerateImageRequest.SerializeToString, + response_deserializer=backend__pb2.Result.FromString, + ) + self.AudioTranscription = channel.unary_unary( + '/backend.Backend/AudioTranscription', + request_serializer=backend__pb2.TranscriptRequest.SerializeToString, + response_deserializer=backend__pb2.TranscriptResult.FromString, + ) + self.TTS = channel.unary_unary( + '/backend.Backend/TTS', + request_serializer=backend__pb2.TTSRequest.SerializeToString, + response_deserializer=backend__pb2.Result.FromString, + ) + + +class BackendServicer(object): + """Missing associated documentation comment in .proto file.""" + + def Health(self, request, context): + """Missing associated documentation comment in .proto file.""" + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def Predict(self, request, context): + """Missing associated documentation comment in .proto file.""" + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def LoadModel(self, request, context): + """Missing associated documentation comment in .proto file.""" + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def PredictStream(self, request, context): + """Missing associated documentation comment in .proto file.""" + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def Embedding(self, request, context): + """Missing associated documentation comment in .proto file.""" + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def GenerateImage(self, request, context): + """Missing associated documentation comment in .proto file.""" + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def AudioTranscription(self, request, context): + """Missing associated documentation comment in .proto file.""" + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def TTS(self, request, context): + """Missing associated documentation comment in .proto file.""" + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + +def add_BackendServicer_to_server(servicer, server): + rpc_method_handlers = { + 'Health': grpc.unary_unary_rpc_method_handler( + servicer.Health, + request_deserializer=backend__pb2.HealthMessage.FromString, + response_serializer=backend__pb2.Reply.SerializeToString, + ), + 'Predict': grpc.unary_unary_rpc_method_handler( + servicer.Predict, + request_deserializer=backend__pb2.PredictOptions.FromString, + response_serializer=backend__pb2.Reply.SerializeToString, + ), + 'LoadModel': grpc.unary_unary_rpc_method_handler( + servicer.LoadModel, + request_deserializer=backend__pb2.ModelOptions.FromString, + response_serializer=backend__pb2.Result.SerializeToString, + ), + 'PredictStream': grpc.unary_stream_rpc_method_handler( + servicer.PredictStream, + request_deserializer=backend__pb2.PredictOptions.FromString, + response_serializer=backend__pb2.Reply.SerializeToString, + ), + 'Embedding': grpc.unary_unary_rpc_method_handler( + servicer.Embedding, + request_deserializer=backend__pb2.PredictOptions.FromString, + response_serializer=backend__pb2.EmbeddingResult.SerializeToString, + ), + 'GenerateImage': grpc.unary_unary_rpc_method_handler( + servicer.GenerateImage, + request_deserializer=backend__pb2.GenerateImageRequest.FromString, + response_serializer=backend__pb2.Result.SerializeToString, + ), + 'AudioTranscription': grpc.unary_unary_rpc_method_handler( + servicer.AudioTranscription, + request_deserializer=backend__pb2.TranscriptRequest.FromString, + response_serializer=backend__pb2.TranscriptResult.SerializeToString, + ), + 'TTS': grpc.unary_unary_rpc_method_handler( + servicer.TTS, + request_deserializer=backend__pb2.TTSRequest.FromString, + response_serializer=backend__pb2.Result.SerializeToString, + ), + } + generic_handler = grpc.method_handlers_generic_handler( + 'backend.Backend', rpc_method_handlers) + server.add_generic_rpc_handlers((generic_handler,)) + + + # This class is part of an EXPERIMENTAL API. +class Backend(object): + """Missing associated documentation comment in .proto file.""" + + @staticmethod + def Health(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/backend.Backend/Health', + backend__pb2.HealthMessage.SerializeToString, + backend__pb2.Reply.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def Predict(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/backend.Backend/Predict', + backend__pb2.PredictOptions.SerializeToString, + backend__pb2.Reply.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def LoadModel(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/backend.Backend/LoadModel', + backend__pb2.ModelOptions.SerializeToString, + backend__pb2.Result.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def PredictStream(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_stream(request, target, '/backend.Backend/PredictStream', + backend__pb2.PredictOptions.SerializeToString, + backend__pb2.Reply.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def Embedding(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/backend.Backend/Embedding', + backend__pb2.PredictOptions.SerializeToString, + backend__pb2.EmbeddingResult.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def GenerateImage(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/backend.Backend/GenerateImage', + backend__pb2.GenerateImageRequest.SerializeToString, + backend__pb2.Result.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def AudioTranscription(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/backend.Backend/AudioTranscription', + backend__pb2.TranscriptRequest.SerializeToString, + backend__pb2.TranscriptResult.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def TTS(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/backend.Backend/TTS', + backend__pb2.TTSRequest.SerializeToString, + backend__pb2.Result.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) diff --git a/extra/grpc/huggingface/backend_pb2.py b/extra/grpc/huggingface/backend_pb2.py index e8d2d30c..214e3720 100644 --- a/extra/grpc/huggingface/backend_pb2.py +++ b/extra/grpc/huggingface/backend_pb2.py @@ -13,7 +13,7 @@ _sym_db = _symbol_database.Default() -DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\rbackend.proto\x12\x07\x62\x61\x63kend\"\x0f\n\rHealthMessage\"\x86\x06\n\x0ePredictOptions\x12\x0e\n\x06Prompt\x18\x01 \x01(\t\x12\x0c\n\x04Seed\x18\x02 \x01(\x05\x12\x0f\n\x07Threads\x18\x03 \x01(\x05\x12\x0e\n\x06Tokens\x18\x04 \x01(\x05\x12\x0c\n\x04TopK\x18\x05 \x01(\x05\x12\x0e\n\x06Repeat\x18\x06 \x01(\x05\x12\r\n\x05\x42\x61tch\x18\x07 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+29,21 @@ if _descriptor._USE_C_DESCRIPTORS == False: _globals['_REPLY']._serialized_start=820 _globals['_REPLY']._serialized_end=844 _globals['_MODELOPTIONS']._serialized_start=847 - _globals['_MODELOPTIONS']._serialized_end=1329 - _globals['_RESULT']._serialized_start=1331 - _globals['_RESULT']._serialized_end=1373 - _globals['_EMBEDDINGRESULT']._serialized_start=1375 - _globals['_EMBEDDINGRESULT']._serialized_end=1412 - _globals['_TRANSCRIPTREQUEST']._serialized_start=1414 - _globals['_TRANSCRIPTREQUEST']._serialized_end=1481 - _globals['_TRANSCRIPTRESULT']._serialized_start=1483 - _globals['_TRANSCRIPTRESULT']._serialized_end=1561 - _globals['_TRANSCRIPTSEGMENT']._serialized_start=1563 - _globals['_TRANSCRIPTSEGMENT']._serialized_end=1652 - _globals['_GENERATEIMAGEREQUEST']._serialized_start=1655 - _globals['_GENERATEIMAGEREQUEST']._serialized_end=1813 - _globals['_TTSREQUEST']._serialized_start=1815 - _globals['_TTSREQUEST']._serialized_end=1869 - _globals['_BACKEND']._serialized_start=1872 - _globals['_BACKEND']._serialized_end=2363 + _globals['_MODELOPTIONS']._serialized_end=1388 + _globals['_RESULT']._serialized_start=1390 + _globals['_RESULT']._serialized_end=1432 + _globals['_EMBEDDINGRESULT']._serialized_start=1434 + _globals['_EMBEDDINGRESULT']._serialized_end=1471 + _globals['_TRANSCRIPTREQUEST']._serialized_start=1473 + _globals['_TRANSCRIPTREQUEST']._serialized_end=1540 + _globals['_TRANSCRIPTRESULT']._serialized_start=1542 + _globals['_TRANSCRIPTRESULT']._serialized_end=1620 + _globals['_TRANSCRIPTSEGMENT']._serialized_start=1622 + _globals['_TRANSCRIPTSEGMENT']._serialized_end=1711 + _globals['_GENERATEIMAGEREQUEST']._serialized_start=1714 + _globals['_GENERATEIMAGEREQUEST']._serialized_end=1872 + _globals['_TTSREQUEST']._serialized_start=1874 + _globals['_TTSREQUEST']._serialized_end=1928 + _globals['_BACKEND']._serialized_start=1931 + _globals['_BACKEND']._serialized_end=2422 # @@protoc_insertion_point(module_scope) diff --git a/extra/requirements.txt b/extra/requirements.txt index 183b6bad..9744afb1 100644 --- a/extra/requirements.txt +++ b/extra/requirements.txt @@ -1,6 +1,4 @@ sentence_transformers grpcio google -protobuf -torch -git+https://github.com/suno-ai/bark.git \ No newline at end of file +protobuf \ No newline at end of file diff --git a/pkg/grpc/proto/backend.pb.go b/pkg/grpc/proto/backend.pb.go index 33d09b46..b8718e2d 100644 --- a/pkg/grpc/proto/backend.pb.go +++ b/pkg/grpc/proto/backend.pb.go @@ -489,6 +489,10 @@ type ModelOptions struct { UseTriton bool `protobuf:"varint,23,opt,name=UseTriton,proto3" json:"UseTriton,omitempty"` ModelBaseName string `protobuf:"bytes,24,opt,name=ModelBaseName,proto3" json:"ModelBaseName,omitempty"` UseFastTokenizer bool `protobuf:"varint,25,opt,name=UseFastTokenizer,proto3" json:"UseFastTokenizer,omitempty"` + // Diffusers + PipelineType string `protobuf:"bytes,26,opt,name=PipelineType,proto3" json:"PipelineType,omitempty"` + SchedulerType string `protobuf:"bytes,27,opt,name=SchedulerType,proto3" json:"SchedulerType,omitempty"` + CUDA bool `protobuf:"varint,28,opt,name=CUDA,proto3" json:"CUDA,omitempty"` } func (x *ModelOptions) Reset() { @@ -698,6 +702,27 @@ func (x *ModelOptions) GetUseFastTokenizer() bool { return false } +func (x *ModelOptions) GetPipelineType() string { + if x != nil { + return x.PipelineType + } + return "" +} + +func (x *ModelOptions) GetSchedulerType() string { + if x != nil { + return x.SchedulerType + } + return "" +} + +func (x *ModelOptions) GetCUDA() bool { + if x != nil { + return x.CUDA + } + return false +} + type Result struct { state protoimpl.MessageState sizeCache protoimpl.SizeCache @@ -1248,7 +1273,7 @@ var file_pkg_grpc_proto_backend_proto_rawDesc = []byte{ 0x0e, 0x4e, 0x65, 0x67, 0x61, 0x74, 0x69, 0x76, 0x65, 0x50, 0x72, 0x6f, 0x6d, 0x70, 0x74, 0x22, 0x21, 0x0a, 0x05, 0x52, 0x65, 0x70, 0x6c, 0x79, 0x12, 0x18, 0x0a, 0x07, 0x6d, 0x65, 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+ // Diffusers + string PipelineType = 26; + string SchedulerType = 27; + bool CUDA = 28; } message Result { diff --git a/pkg/model/initializers.go b/pkg/model/initializers.go index 2e011a3c..7b808c25 100644 --- a/pkg/model/initializers.go +++ b/pkg/model/initializers.go @@ -273,7 +273,7 @@ func (ml *ModelLoader) GreedyLoader(opts ...Option) (*grpc.Client, error) { options := []Option{ WithBackendString(b), WithModel(o.model), - WithLoadGRPCLLMModelOpts(o.gRPCOptions), + WithLoadGRPCLoadModelOpts(o.gRPCOptions), WithThreads(o.threads), WithAssetDir(o.assetDir), } diff --git a/pkg/model/options.go b/pkg/model/options.go index 646a5223..83c14b65 100644 --- a/pkg/model/options.go +++ b/pkg/model/options.go @@ -41,7 +41,7 @@ func WithModel(modelFile string) Option { } } -func WithLoadGRPCLLMModelOpts(opts *pb.ModelOptions) Option { +func WithLoadGRPCLoadModelOpts(opts *pb.ModelOptions) Option { return func(o *Options) { o.gRPCOptions = opts }