From 2bacd0180d409b2b8f5c6f1b1ef13ccfda108c48 Mon Sep 17 00:00:00 2001 From: Ettore Di Giacinto Date: Thu, 17 Aug 2023 23:38:59 +0200 Subject: [PATCH] feat(diffusers): add img2img and clip_skip, support more kernels schedulers (#906) Signed-off-by: Ettore Di Giacinto --- api/backend/image.go | 8 +- api/config/config.go | 4 + api/config/prediction.go | 3 + api/openai/image.go | 37 +++- api/openai/request.go | 4 + extra/grpc/autogptq/backend_pb2.py | 36 ++-- extra/grpc/bark/backend_pb2.py | 36 ++-- extra/grpc/diffusers/backend_diffusers.py | 168 ++++++++++++--- extra/grpc/diffusers/backend_pb2.py | 36 ++-- extra/grpc/exllama/backend_pb2.py | 36 ++-- extra/grpc/huggingface/backend_pb2.py | 36 ++-- pkg/grpc/proto/backend.pb.go | 236 ++++++++++++++-------- pkg/grpc/proto/backend.proto | 8 +- 13 files changed, 435 insertions(+), 213 deletions(-) diff --git a/api/backend/image.go b/api/backend/image.go index 719def24..81303926 100644 --- a/api/backend/image.go +++ b/api/backend/image.go @@ -9,7 +9,7 @@ import ( model "github.com/go-skynet/LocalAI/pkg/model" ) -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) { +func ImageGeneration(height, width, mode, step, seed int, positive_prompt, negative_prompt, src, dst string, loader *model.ModelLoader, c config.Config, o *options.Option) (func() error, error) { opts := []model.Option{ model.WithBackendString(c.Backend), @@ -22,6 +22,10 @@ func ImageGeneration(height, width, mode, step, seed int, positive_prompt, negat SchedulerType: c.Diffusers.SchedulerType, PipelineType: c.Diffusers.PipelineType, CFGScale: c.Diffusers.CFGScale, + IMG2IMG: c.Diffusers.IMG2IMG, + CLIPModel: c.Diffusers.ClipModel, + CLIPSubfolder: c.Diffusers.ClipSubFolder, + CLIPSkip: int32(c.Diffusers.ClipSkip), }), } @@ -53,9 +57,11 @@ func ImageGeneration(height, width, mode, step, seed int, positive_prompt, negat Mode: int32(mode), Step: int32(step), Seed: int32(seed), + CLIPSkip: int32(c.Diffusers.ClipSkip), PositivePrompt: positive_prompt, NegativePrompt: negative_prompt, Dst: dst, + Src: src, EnableParameters: c.Diffusers.EnableParameters, }) return err diff --git a/api/config/config.go b/api/config/config.go index b610d8e2..744e3723 100644 --- a/api/config/config.go +++ b/api/config/config.go @@ -55,6 +55,10 @@ type Diffusers struct { CUDA bool `yaml:"cuda"` EnableParameters string `yaml:"enable_parameters"` // A list of comma separated parameters to specify CFGScale float32 `yaml:"cfg_scale"` // Classifier-Free Guidance Scale + IMG2IMG bool `yaml:"img2img"` // Image to Image Diffuser + ClipSkip int `yaml:"clip_skip"` // Skip every N frames + ClipModel string `yaml:"clip_model"` // Clip model to use + ClipSubFolder string `yaml:"clip_subfolder"` // Subfolder to use for clip model } type LLMConfig struct { diff --git a/api/config/prediction.go b/api/config/prediction.go index 9cd1d2b1..3adab84a 100644 --- a/api/config/prediction.go +++ b/api/config/prediction.go @@ -41,4 +41,7 @@ type PredictionOptions struct { NegativePromptScale float32 `json:"negative_prompt_scale" yaml:"negative_prompt_scale"` // AutoGPTQ UseFastTokenizer bool `json:"use_fast_tokenizer" yaml:"use_fast_tokenizer"` + + // Diffusers + ClipSkip int `json:"clip_skip" yaml:"clip_skip"` } diff --git a/api/openai/image.go b/api/openai/image.go index ead31d87..7db5c7f5 100644 --- a/api/openai/image.go +++ b/api/openai/image.go @@ -4,7 +4,9 @@ import ( "encoding/base64" "encoding/json" "fmt" + "io" "os" + "path" "path/filepath" "strconv" "strings" @@ -49,6 +51,37 @@ func ImageEndpoint(cm *config.ConfigLoader, o *options.Option) func(c *fiber.Ctx return fmt.Errorf("failed reading parameters from request:%w", err) } + src := "" + // retrieve the file data from the request + file, err := c.FormFile("src") + if err == nil { + + f, err := file.Open() + if err != nil { + return err + } + defer f.Close() + + dir, err := os.MkdirTemp("", "img2img") + + if err != nil { + return err + } + defer os.RemoveAll(dir) + + dst := filepath.Join(dir, path.Base(file.Filename)) + dstFile, err := os.Create(dst) + if err != nil { + return err + } + + if _, err := io.Copy(dstFile, f); err != nil { + log.Debug().Msgf("Image file copying error %+v - %+v - err %+v", file.Filename, dst, err) + return err + } + src = dst + } + log.Debug().Msgf("Parameter Config: %+v", config) // XXX: Only stablediffusion is supported for now @@ -73,7 +106,7 @@ func ImageEndpoint(cm *config.ConfigLoader, o *options.Option) func(c *fiber.Ctx if input.ResponseFormat == "b64_json" { b64JSON = true } - + // src and clip_skip var result []Item for _, i := range config.PromptStrings { n := input.N @@ -121,7 +154,7 @@ func ImageEndpoint(cm *config.ConfigLoader, o *options.Option) func(c *fiber.Ctx baseURL := c.BaseURL() - fn, err := backend.ImageGeneration(height, width, mode, step, input.Seed, positive_prompt, negative_prompt, output, o.Loader, *config, o) + fn, err := backend.ImageGeneration(height, width, mode, step, input.Seed, positive_prompt, negative_prompt, src, output, o.Loader, *config, o) if err != nil { return err } diff --git a/api/openai/request.go b/api/openai/request.go index 426098d7..46e500b8 100644 --- a/api/openai/request.go +++ b/api/openai/request.go @@ -75,6 +75,10 @@ func updateConfig(config *config.Config, input *OpenAIRequest) { config.Backend = input.Backend } + if input.ClipSkip != 0 { + config.Diffusers.ClipSkip = input.ClipSkip + } + if input.ModelBaseName != "" { config.AutoGPTQ.ModelBaseName = input.ModelBaseName } diff --git a/extra/grpc/autogptq/backend_pb2.py b/extra/grpc/autogptq/backend_pb2.py index 229af678..cf344ff4 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 = 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_globals['_REPLY']._serialized_start=820 _globals['_REPLY']._serialized_end=844 _globals['_MODELOPTIONS']._serialized_start=847 - _globals['_MODELOPTIONS']._serialized_end=1406 - _globals['_RESULT']._serialized_start=1408 - _globals['_RESULT']._serialized_end=1450 - _globals['_EMBEDDINGRESULT']._serialized_start=1452 - _globals['_EMBEDDINGRESULT']._serialized_end=1489 - _globals['_TRANSCRIPTREQUEST']._serialized_start=1491 - _globals['_TRANSCRIPTREQUEST']._serialized_end=1558 - _globals['_TRANSCRIPTRESULT']._serialized_start=1560 - _globals['_TRANSCRIPTRESULT']._serialized_end=1638 - _globals['_TRANSCRIPTSEGMENT']._serialized_start=1640 - _globals['_TRANSCRIPTSEGMENT']._serialized_end=1729 - _globals['_GENERATEIMAGEREQUEST']._serialized_start=1732 - _globals['_GENERATEIMAGEREQUEST']._serialized_end=1916 - _globals['_TTSREQUEST']._serialized_start=1918 - _globals['_TTSREQUEST']._serialized_end=1972 - _globals['_BACKEND']._serialized_start=1975 - _globals['_BACKEND']._serialized_end=2466 + _globals['_MODELOPTIONS']._serialized_end=1483 + _globals['_RESULT']._serialized_start=1485 + _globals['_RESULT']._serialized_end=1527 + _globals['_EMBEDDINGRESULT']._serialized_start=1529 + _globals['_EMBEDDINGRESULT']._serialized_end=1566 + _globals['_TRANSCRIPTREQUEST']._serialized_start=1568 + _globals['_TRANSCRIPTREQUEST']._serialized_end=1635 + _globals['_TRANSCRIPTRESULT']._serialized_start=1637 + _globals['_TRANSCRIPTRESULT']._serialized_end=1715 + _globals['_TRANSCRIPTSEGMENT']._serialized_start=1717 + _globals['_TRANSCRIPTSEGMENT']._serialized_end=1806 + _globals['_GENERATEIMAGEREQUEST']._serialized_start=1809 + _globals['_GENERATEIMAGEREQUEST']._serialized_end=2024 + _globals['_TTSREQUEST']._serialized_start=2026 + _globals['_TTSREQUEST']._serialized_end=2080 + _globals['_BACKEND']._serialized_start=2083 + _globals['_BACKEND']._serialized_end=2574 # @@protoc_insertion_point(module_scope) diff --git a/extra/grpc/bark/backend_pb2.py b/extra/grpc/bark/backend_pb2.py index 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+ _globals['_MODELOPTIONS']._serialized_end=1483 + _globals['_RESULT']._serialized_start=1485 + _globals['_RESULT']._serialized_end=1527 + _globals['_EMBEDDINGRESULT']._serialized_start=1529 + _globals['_EMBEDDINGRESULT']._serialized_end=1566 + _globals['_TRANSCRIPTREQUEST']._serialized_start=1568 + _globals['_TRANSCRIPTREQUEST']._serialized_end=1635 + _globals['_TRANSCRIPTRESULT']._serialized_start=1637 + _globals['_TRANSCRIPTRESULT']._serialized_end=1715 + _globals['_TRANSCRIPTSEGMENT']._serialized_start=1717 + _globals['_TRANSCRIPTSEGMENT']._serialized_end=1806 + _globals['_GENERATEIMAGEREQUEST']._serialized_start=1809 + _globals['_GENERATEIMAGEREQUEST']._serialized_end=2024 + _globals['_TTSREQUEST']._serialized_start=2026 + _globals['_TTSREQUEST']._serialized_end=2080 + _globals['_BACKEND']._serialized_start=2083 + _globals['_BACKEND']._serialized_end=2574 # @@protoc_insertion_point(module_scope) diff --git a/extra/grpc/diffusers/backend_diffusers.py b/extra/grpc/diffusers/backend_diffusers.py index 506eb5fd..d2cc86a8 100755 --- a/extra/grpc/diffusers/backend_diffusers.py +++ b/extra/grpc/diffusers/backend_diffusers.py @@ -15,15 +15,108 @@ from torch import autocast from diffusers import StableDiffusionXLPipeline, DPMSolverMultistepScheduler, StableDiffusionPipeline, DiffusionPipeline, EulerAncestralDiscreteScheduler from diffusers.pipelines.stable_diffusion import safety_checker from compel import Compel +from PIL import Image +from io import BytesIO +from diffusers import StableDiffusionImg2ImgPipeline +from transformers import CLIPTextModel +from enum import Enum _ONE_DAY_IN_SECONDS = 60 * 60 * 24 COMPEL=os.environ.get("COMPEL", "1") == "1" +CLIPSKIP=os.environ.get("CLIPSKIP", "1") == "1" # https://github.com/CompVis/stable-diffusion/issues/239#issuecomment-1627615287 def sc(self, clip_input, images) : return images, [False for i in images] # edit the StableDiffusionSafetyChecker class so that, when called, it just returns the images and an array of True values safety_checker.StableDiffusionSafetyChecker.forward = sc +from diffusers.schedulers import ( + DDIMScheduler, + DPMSolverMultistepScheduler, + DPMSolverSinglestepScheduler, + EulerAncestralDiscreteScheduler, + EulerDiscreteScheduler, + HeunDiscreteScheduler, + KDPM2AncestralDiscreteScheduler, + KDPM2DiscreteScheduler, + LMSDiscreteScheduler, + PNDMScheduler, + UniPCMultistepScheduler, +) +# The scheduler list mapping was taken from here: https://github.com/neggles/animatediff-cli/blob/6f336f5f4b5e38e85d7f06f1744ef42d0a45f2a7/src/animatediff/schedulers.py#L39 +# Credits to https://github.com/neggles +# See https://github.com/huggingface/diffusers/issues/4167 for more details on sched mapping from A1111 +class DiffusionScheduler(str, Enum): + ddim = "ddim" # DDIM + pndm = "pndm" # PNDM + heun = "heun" # Heun + unipc = "unipc" # UniPC + euler = "euler" # Euler + euler_a = "euler_a" # Euler a + + lms = "lms" # LMS + k_lms = "k_lms" # LMS Karras + + dpm_2 = "dpm_2" # DPM2 + k_dpm_2 = "k_dpm_2" # DPM2 Karras + + dpm_2_a = "dpm_2_a" # DPM2 a + k_dpm_2_a = "k_dpm_2_a" # DPM2 a Karras + + dpmpp_2m = "dpmpp_2m" # DPM++ 2M + k_dpmpp_2m = "k_dpmpp_2m" # DPM++ 2M Karras + + dpmpp_sde = "dpmpp_sde" # DPM++ SDE + k_dpmpp_sde = "k_dpmpp_sde" # DPM++ SDE Karras + + dpmpp_2m_sde = "dpmpp_2m_sde" # DPM++ 2M SDE + k_dpmpp_2m_sde = "k_dpmpp_2m_sde" # DPM++ 2M SDE Karras + + +def get_scheduler(name: str, config: dict = {}): + is_karras = name.startswith("k_") + if is_karras: + # strip the k_ prefix and add the karras sigma flag to config + name = name.lstrip("k_") + config["use_karras_sigmas"] = True + + if name == DiffusionScheduler.ddim: + sched_class = DDIMScheduler + elif name == DiffusionScheduler.pndm: + sched_class = PNDMScheduler + elif name == DiffusionScheduler.heun: + sched_class = HeunDiscreteScheduler + elif name == DiffusionScheduler.unipc: + sched_class = UniPCMultistepScheduler + elif name == DiffusionScheduler.euler: + sched_class = EulerDiscreteScheduler + elif name == DiffusionScheduler.euler_a: + sched_class = EulerAncestralDiscreteScheduler + elif name == DiffusionScheduler.lms: + sched_class = LMSDiscreteScheduler + elif name == DiffusionScheduler.dpm_2: + # Equivalent to DPM2 in K-Diffusion + sched_class = KDPM2DiscreteScheduler + elif name == DiffusionScheduler.dpm_2_a: + # Equivalent to `DPM2 a`` in K-Diffusion + sched_class = KDPM2AncestralDiscreteScheduler + elif name == DiffusionScheduler.dpmpp_2m: + # Equivalent to `DPM++ 2M` in K-Diffusion + sched_class = DPMSolverMultistepScheduler + config["algorithm_type"] = "dpmsolver++" + config["solver_order"] = 2 + elif name == DiffusionScheduler.dpmpp_sde: + # Equivalent to `DPM++ SDE` in K-Diffusion + sched_class = DPMSolverSinglestepScheduler + elif name == DiffusionScheduler.dpmpp_2m_sde: + # Equivalent to `DPM++ 2M SDE` in K-Diffusion + sched_class = DPMSolverMultistepScheduler + config["algorithm_type"] = "sde-dpmsolver++" + else: + raise ValueError(f"Invalid scheduler '{'k_' if is_karras else ''}{name}'") + + return sched_class.from_config(config) + # Implement the BackendServicer class with the service methods class BackendServicer(backend_pb2_grpc.BackendServicer): def Health(self, request, context): @@ -42,39 +135,55 @@ class BackendServicer(backend_pb2_grpc.BackendServicer): cfg_scale = 7 if request.CFGScale != 0: cfg_scale = request.CFGScale - + + clipmodel = "runwayml/stable-diffusion-v1-5" + if request.CLIPModel != "": + clipmodel = request.CLIPModel + clipsubfolder = "text_encoder" + if request.CLIPSubfolder != "": + clipsubfolder = request.CLIPSubfolder + # Check if ModelFile exists if request.ModelFile != "": if os.path.exists(request.ModelFile): local = True modelFile = request.ModelFile - + fromSingleFile = request.Model.startswith("http") or request.Model.startswith("/") or local # If request.Model is a URL, use from_single_file - if request.PipelineType == "": request.PipelineType == "StableDiffusionPipeline" if request.PipelineType == "StableDiffusionPipeline": if fromSingleFile: - self.pipe = StableDiffusionPipeline.from_single_file(modelFile, - torch_dtype=torchType, - guidance_scale=cfg_scale) + if request.IMG2IMG: + self.pipe = StableDiffusionImg2ImgPipeline.from_single_file(modelFile, + torch_dtype=torchType, + guidance_scale=cfg_scale) + else: + self.pipe = StableDiffusionPipeline.from_single_file(modelFile, + torch_dtype=torchType, + guidance_scale=cfg_scale) else: - self.pipe = StableDiffusionPipeline.from_pretrained(request.Model, - torch_dtype=torchType, - guidance_scale=cfg_scale) - + if request.IMG2IMG: + self.pipe = StableDiffusionImg2ImgPipeline.from_pretrained(request.Model, + torch_dtype=torchType, + guidance_scale=cfg_scale) + else: + self.pipe = StableDiffusionPipeline.from_pretrained(request.Model, + torch_dtype=torchType, + guidance_scale=cfg_scale) + # https://github.com/huggingface/diffusers/issues/4446 + # do not use text_encoder in the constructor since then + # https://github.com/huggingface/diffusers/issues/3212#issuecomment-1521841481 + if CLIPSKIP and request.CLIPSkip != 0: + text_encoder = CLIPTextModel.from_pretrained(clipmodel, num_hidden_layers=request.CLIPSkip, subfolder=clipsubfolder, torch_dtype=torchType) + self.pipe.text_encoder=text_encoder if request.PipelineType == "DiffusionPipeline": - if fromSingleFile: - self.pipe = DiffusionPipeline.from_single_file(modelFile, - torch_dtype=torchType, - guidance_scale=cfg_scale) - else: - self.pipe = DiffusionPipeline.from_pretrained(request.Model, - torch_dtype=torchType, - guidance_scale=cfg_scale) + self.pipe = DiffusionPipeline.from_pretrained(request.Model, + torch_dtype=torchType, + guidance_scale=cfg_scale) if request.PipelineType == "StableDiffusionXLPipeline": if fromSingleFile: @@ -91,17 +200,7 @@ class BackendServicer(backend_pb2_grpc.BackendServicer): # 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.SchedulerType == "DPMSolverMultistepScheduler++": - self.pipe.scheduler = DPMSolverMultistepScheduler.from_config(self.pipe.scheduler.config,algorithm_type="dpmsolver++") - if request.SchedulerType == "DPMSolverMultistepSchedulerSDE++": - self.pipe.scheduler = DPMSolverMultistepScheduler.from_config(self.pipe.scheduler.config, algorithm_type="sde-dpmsolver++") - if request.CUDA: - self.pipe.to('cuda') - + self.pipe.scheduler = get_scheduler(request.SchedulerType, self.pipe.scheduler.config) self.compel = Compel(tokenizer=self.pipe.tokenizer, text_encoder=self.pipe.text_encoder) except Exception as err: return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}") @@ -117,9 +216,17 @@ class BackendServicer(backend_pb2_grpc.BackendServicer): "negative_prompt": request.negative_prompt, "width": request.width, "height": request.height, - "num_inference_steps": request.step + "num_inference_steps": request.step, } + if request.src != "": + # open the image with Image.open + # convert the image to RGB + # resize the image to the request width and height + # XXX: untested + image = Image.open(request.src).convert("RGB").resize((request.width, request.height)) + options["image"] = image + # Get the keys that we will build the args for our pipe for keys = options.keys() @@ -131,6 +238,7 @@ class BackendServicer(backend_pb2_grpc.BackendServicer): # create a dictionary of parameters by using the keys from EnableParameters and the values from defaults kwargs = {key: options[key] for key in keys} + image = {} if COMPEL: conditioning = self.compel.build_conditioning_tensor(prompt) diff --git 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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') +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 \x01(\x08\x12\x19\n\x11TailFreeSamplingZ\x18\x0f \x01(\x02\x12\x10\n\x08TypicalP\x18\x10 \x01(\x02\x12\x18\n\x10\x46requencyPenalty\x18\x11 \x01(\x02\x12\x17\n\x0fPresencePenalty\x18\x12 \x01(\x02\x12\x10\n\x08Mirostat\x18\x13 \x01(\x05\x12\x13\n\x0bMirostatETA\x18\x14 \x01(\x02\x12\x13\n\x0bMirostatTAU\x18\x15 \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\"\xfc\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 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\x01(\x08\x12\x11\n\tCLIPModel\x18\x1f \x01(\t\x12\x15\n\rCLIPSubfolder\x18 \x01(\t\x12\x10\n\x08\x43LIPSkip\x18! \x01(\x05\"*\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\"\xd7\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\x12\x0b\n\x03src\x18\t \x01(\t\x12\x18\n\x10\x45nableParameters\x18\n \x01(\t\x12\x10\n\x08\x43LIPSkip\x18\x0b \x01(\x05\"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=1406 - _globals['_RESULT']._serialized_start=1408 - _globals['_RESULT']._serialized_end=1450 - _globals['_EMBEDDINGRESULT']._serialized_start=1452 - _globals['_EMBEDDINGRESULT']._serialized_end=1489 - _globals['_TRANSCRIPTREQUEST']._serialized_start=1491 - _globals['_TRANSCRIPTREQUEST']._serialized_end=1558 - _globals['_TRANSCRIPTRESULT']._serialized_start=1560 - _globals['_TRANSCRIPTRESULT']._serialized_end=1638 - _globals['_TRANSCRIPTSEGMENT']._serialized_start=1640 - _globals['_TRANSCRIPTSEGMENT']._serialized_end=1729 - _globals['_GENERATEIMAGEREQUEST']._serialized_start=1732 - _globals['_GENERATEIMAGEREQUEST']._serialized_end=1916 - _globals['_TTSREQUEST']._serialized_start=1918 - _globals['_TTSREQUEST']._serialized_end=1972 - _globals['_BACKEND']._serialized_start=1975 - _globals['_BACKEND']._serialized_end=2466 + _globals['_MODELOPTIONS']._serialized_end=1483 + _globals['_RESULT']._serialized_start=1485 + _globals['_RESULT']._serialized_end=1527 + _globals['_EMBEDDINGRESULT']._serialized_start=1529 + _globals['_EMBEDDINGRESULT']._serialized_end=1566 + _globals['_TRANSCRIPTREQUEST']._serialized_start=1568 + _globals['_TRANSCRIPTREQUEST']._serialized_end=1635 + _globals['_TRANSCRIPTRESULT']._serialized_start=1637 + _globals['_TRANSCRIPTRESULT']._serialized_end=1715 + _globals['_TRANSCRIPTSEGMENT']._serialized_start=1717 + _globals['_TRANSCRIPTSEGMENT']._serialized_end=1806 + _globals['_GENERATEIMAGEREQUEST']._serialized_start=1809 + _globals['_GENERATEIMAGEREQUEST']._serialized_end=2024 + _globals['_TTSREQUEST']._serialized_start=2026 + _globals['_TTSREQUEST']._serialized_end=2080 + _globals['_BACKEND']._serialized_start=2083 + _globals['_BACKEND']._serialized_end=2574 # @@protoc_insertion_point(module_scope) diff --git a/extra/grpc/exllama/backend_pb2.py b/extra/grpc/exllama/backend_pb2.py index 229af678..cf344ff4 100644 --- a/extra/grpc/exllama/backend_pb2.py +++ b/extra/grpc/exllama/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 \x01(\x08\x12\x19\n\x11TailFreeSamplingZ\x18\x0f \x01(\x02\x12\x10\n\x08TypicalP\x18\x10 \x01(\x02\x12\x18\n\x10\x46requencyPenalty\x18\x11 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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') +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 \x01(\x08\x12\x19\n\x11TailFreeSamplingZ\x18\x0f \x01(\x02\x12\x10\n\x08TypicalP\x18\x10 \x01(\x02\x12\x18\n\x10\x46requencyPenalty\x18\x11 \x01(\x02\x12\x17\n\x0fPresencePenalty\x18\x12 \x01(\x02\x12\x10\n\x08Mirostat\x18\x13 \x01(\x05\x12\x13\n\x0bMirostatETA\x18\x14 \x01(\x02\x12\x13\n\x0bMirostatTAU\x18\x15 \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\"\xfc\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 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\x01(\x08\x12\x11\n\tCLIPModel\x18\x1f \x01(\t\x12\x15\n\rCLIPSubfolder\x18 \x01(\t\x12\x10\n\x08\x43LIPSkip\x18! \x01(\x05\"*\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\"\xd7\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\x12\x0b\n\x03src\x18\t \x01(\t\x12\x18\n\x10\x45nableParameters\x18\n \x01(\t\x12\x10\n\x08\x43LIPSkip\x18\x0b \x01(\x05\"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=1406 - _globals['_RESULT']._serialized_start=1408 - _globals['_RESULT']._serialized_end=1450 - _globals['_EMBEDDINGRESULT']._serialized_start=1452 - _globals['_EMBEDDINGRESULT']._serialized_end=1489 - _globals['_TRANSCRIPTREQUEST']._serialized_start=1491 - _globals['_TRANSCRIPTREQUEST']._serialized_end=1558 - _globals['_TRANSCRIPTRESULT']._serialized_start=1560 - _globals['_TRANSCRIPTRESULT']._serialized_end=1638 - _globals['_TRANSCRIPTSEGMENT']._serialized_start=1640 - _globals['_TRANSCRIPTSEGMENT']._serialized_end=1729 - _globals['_GENERATEIMAGEREQUEST']._serialized_start=1732 - _globals['_GENERATEIMAGEREQUEST']._serialized_end=1916 - _globals['_TTSREQUEST']._serialized_start=1918 - _globals['_TTSREQUEST']._serialized_end=1972 - _globals['_BACKEND']._serialized_start=1975 - _globals['_BACKEND']._serialized_end=2466 + _globals['_MODELOPTIONS']._serialized_end=1483 + _globals['_RESULT']._serialized_start=1485 + _globals['_RESULT']._serialized_end=1527 + _globals['_EMBEDDINGRESULT']._serialized_start=1529 + _globals['_EMBEDDINGRESULT']._serialized_end=1566 + _globals['_TRANSCRIPTREQUEST']._serialized_start=1568 + _globals['_TRANSCRIPTREQUEST']._serialized_end=1635 + _globals['_TRANSCRIPTRESULT']._serialized_start=1637 + _globals['_TRANSCRIPTRESULT']._serialized_end=1715 + _globals['_TRANSCRIPTSEGMENT']._serialized_start=1717 + _globals['_TRANSCRIPTSEGMENT']._serialized_end=1806 + _globals['_GENERATEIMAGEREQUEST']._serialized_start=1809 + _globals['_GENERATEIMAGEREQUEST']._serialized_end=2024 + _globals['_TTSREQUEST']._serialized_start=2026 + _globals['_TTSREQUEST']._serialized_end=2080 + _globals['_BACKEND']._serialized_start=2083 + _globals['_BACKEND']._serialized_end=2574 # @@protoc_insertion_point(module_scope) diff --git a/extra/grpc/huggingface/backend_pb2.py b/extra/grpc/huggingface/backend_pb2.py index 229af678..cf344ff4 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 \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 \x01(\x08\x12\x19\n\x11TailFreeSamplingZ\x18\x0f \x01(\x02\x12\x10\n\x08TypicalP\x18\x10 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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') +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 \x01(\x08\x12\x19\n\x11TailFreeSamplingZ\x18\x0f \x01(\x02\x12\x10\n\x08TypicalP\x18\x10 \x01(\x02\x12\x18\n\x10\x46requencyPenalty\x18\x11 \x01(\x02\x12\x17\n\x0fPresencePenalty\x18\x12 \x01(\x02\x12\x10\n\x08Mirostat\x18\x13 \x01(\x05\x12\x13\n\x0bMirostatETA\x18\x14 \x01(\x02\x12\x13\n\x0bMirostatTAU\x18\x15 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_globals['_REPLY']._serialized_start=820 _globals['_REPLY']._serialized_end=844 _globals['_MODELOPTIONS']._serialized_start=847 - _globals['_MODELOPTIONS']._serialized_end=1406 - _globals['_RESULT']._serialized_start=1408 - _globals['_RESULT']._serialized_end=1450 - _globals['_EMBEDDINGRESULT']._serialized_start=1452 - _globals['_EMBEDDINGRESULT']._serialized_end=1489 - _globals['_TRANSCRIPTREQUEST']._serialized_start=1491 - _globals['_TRANSCRIPTREQUEST']._serialized_end=1558 - _globals['_TRANSCRIPTRESULT']._serialized_start=1560 - _globals['_TRANSCRIPTRESULT']._serialized_end=1638 - _globals['_TRANSCRIPTSEGMENT']._serialized_start=1640 - _globals['_TRANSCRIPTSEGMENT']._serialized_end=1729 - _globals['_GENERATEIMAGEREQUEST']._serialized_start=1732 - _globals['_GENERATEIMAGEREQUEST']._serialized_end=1916 - _globals['_TTSREQUEST']._serialized_start=1918 - _globals['_TTSREQUEST']._serialized_end=1972 - _globals['_BACKEND']._serialized_start=1975 - _globals['_BACKEND']._serialized_end=2466 + _globals['_MODELOPTIONS']._serialized_end=1483 + _globals['_RESULT']._serialized_start=1485 + _globals['_RESULT']._serialized_end=1527 + _globals['_EMBEDDINGRESULT']._serialized_start=1529 + _globals['_EMBEDDINGRESULT']._serialized_end=1566 + _globals['_TRANSCRIPTREQUEST']._serialized_start=1568 + _globals['_TRANSCRIPTREQUEST']._serialized_end=1635 + _globals['_TRANSCRIPTRESULT']._serialized_start=1637 + _globals['_TRANSCRIPTRESULT']._serialized_end=1715 + _globals['_TRANSCRIPTSEGMENT']._serialized_start=1717 + _globals['_TRANSCRIPTSEGMENT']._serialized_end=1806 + _globals['_GENERATEIMAGEREQUEST']._serialized_start=1809 + _globals['_GENERATEIMAGEREQUEST']._serialized_end=2024 + _globals['_TTSREQUEST']._serialized_start=2026 + _globals['_TTSREQUEST']._serialized_end=2080 + _globals['_BACKEND']._serialized_start=2083 + _globals['_BACKEND']._serialized_end=2574 # @@protoc_insertion_point(module_scope) diff --git a/pkg/grpc/proto/backend.pb.go b/pkg/grpc/proto/backend.pb.go index 09149eca..87456b13 100644 --- a/pkg/grpc/proto/backend.pb.go +++ b/pkg/grpc/proto/backend.pb.go @@ -494,6 +494,10 @@ type ModelOptions struct { SchedulerType string `protobuf:"bytes,27,opt,name=SchedulerType,proto3" json:"SchedulerType,omitempty"` CUDA bool `protobuf:"varint,28,opt,name=CUDA,proto3" json:"CUDA,omitempty"` CFGScale float32 `protobuf:"fixed32,29,opt,name=CFGScale,proto3" json:"CFGScale,omitempty"` + IMG2IMG bool `protobuf:"varint,30,opt,name=IMG2IMG,proto3" json:"IMG2IMG,omitempty"` + CLIPModel string `protobuf:"bytes,31,opt,name=CLIPModel,proto3" json:"CLIPModel,omitempty"` + CLIPSubfolder string `protobuf:"bytes,32,opt,name=CLIPSubfolder,proto3" json:"CLIPSubfolder,omitempty"` + CLIPSkip int32 `protobuf:"varint,33,opt,name=CLIPSkip,proto3" json:"CLIPSkip,omitempty"` } func (x *ModelOptions) Reset() { @@ -731,6 +735,34 @@ func (x *ModelOptions) GetCFGScale() float32 { return 0 } +func (x *ModelOptions) GetIMG2IMG() bool { + if x != nil { + return x.IMG2IMG + } + return false +} + +func (x *ModelOptions) GetCLIPModel() string { + if x != nil { + return x.CLIPModel + } + return "" +} + +func (x *ModelOptions) GetCLIPSubfolder() string { + if x != nil { + return x.CLIPSubfolder + } + return "" +} + +func (x *ModelOptions) GetCLIPSkip() int32 { + if x != nil { + return x.CLIPSkip + } + return 0 +} + type Result struct { state protoimpl.MessageState sizeCache protoimpl.SizeCache @@ -1043,8 +1075,10 @@ type GenerateImageRequest struct { PositivePrompt string `protobuf:"bytes,6,opt,name=positive_prompt,json=positivePrompt,proto3" json:"positive_prompt,omitempty"` NegativePrompt string `protobuf:"bytes,7,opt,name=negative_prompt,json=negativePrompt,proto3" json:"negative_prompt,omitempty"` Dst string `protobuf:"bytes,8,opt,name=dst,proto3" json:"dst,omitempty"` + Src string `protobuf:"bytes,9,opt,name=src,proto3" json:"src,omitempty"` // Diffusers - EnableParameters string `protobuf:"bytes,9,opt,name=EnableParameters,proto3" json:"EnableParameters,omitempty"` + EnableParameters string `protobuf:"bytes,10,opt,name=EnableParameters,proto3" json:"EnableParameters,omitempty"` + CLIPSkip int32 `protobuf:"varint,11,opt,name=CLIPSkip,proto3" json:"CLIPSkip,omitempty"` } func (x *GenerateImageRequest) Reset() { @@ -1135,6 +1169,13 @@ func (x *GenerateImageRequest) GetDst() string { return "" } +func (x *GenerateImageRequest) GetSrc() string { + if x != nil { + return x.Src + } + return "" +} + func (x *GenerateImageRequest) GetEnableParameters() string { if x != nil { return x.EnableParameters @@ -1142,6 +1183,13 @@ func (x *GenerateImageRequest) GetEnableParameters() string { return "" } +func (x *GenerateImageRequest) GetCLIPSkip() int32 { + if x != nil { + return x.CLIPSkip + } + return 0 +} + type TTSRequest struct { state protoimpl.MessageState sizeCache protoimpl.SizeCache @@ -1290,7 +1338,7 @@ var file_pkg_grpc_proto_backend_proto_rawDesc = []byte{ 0x0e, 0x4e, 0x65, 0x67, 0x61, 0x74, 0x69, 0x76, 0x65, 0x50, 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0x70, 0x72, 0x6f, 0x74, 0x6f, 0x33, } var ( diff --git a/pkg/grpc/proto/backend.proto b/pkg/grpc/proto/backend.proto index 8710f93d..30b309f5 100644 --- a/pkg/grpc/proto/backend.proto +++ b/pkg/grpc/proto/backend.proto @@ -102,6 +102,10 @@ message ModelOptions { string SchedulerType = 27; bool CUDA = 28; float CFGScale = 29; + bool IMG2IMG = 30; + string CLIPModel = 31; + string CLIPSubfolder = 32; + int32 CLIPSkip = 33; } message Result { @@ -141,9 +145,11 @@ message GenerateImageRequest { string positive_prompt = 6; string negative_prompt = 7; string dst = 8; + string src = 9; // Diffusers - string EnableParameters = 9; + string EnableParameters = 10; + int32 CLIPSkip = 11; } message TTSRequest {