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refactor: move remaining api packages to core (#1731)
* core 1 * api/openai/files fix * core 2 - core/config * move over core api.go and tests to the start of core/http * move over localai specific endpoints to core/http, begin the service/endpoint split there * refactor big chunk on the plane * refactor chunk 2 on plane, next step: port and modify changes to request.go * easy fixes for request.go, major changes not done yet * lintfix * json tag lintfix? * gitignore and .keep files * strange fix attempt: rename the config dir?
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316de82f51
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50 changed files with 1440 additions and 1206 deletions
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@ -1,33 +1,33 @@
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package backend
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import (
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config "github.com/go-skynet/LocalAI/core/config"
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"github.com/go-skynet/LocalAI/core/options"
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"github.com/go-skynet/LocalAI/core/config"
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"github.com/go-skynet/LocalAI/pkg/grpc/proto"
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model "github.com/go-skynet/LocalAI/pkg/model"
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)
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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) {
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func ImageGeneration(height, width, mode, step, seed int, positive_prompt, negative_prompt, src, dst string, loader *model.ModelLoader, backendConfig config.BackendConfig, appConfig *config.ApplicationConfig) (func() error, error) {
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opts := modelOpts(c, o, []model.Option{
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model.WithBackendString(c.Backend),
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model.WithAssetDir(o.AssetsDestination),
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model.WithThreads(uint32(c.Threads)),
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model.WithContext(o.Context),
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model.WithModel(c.Model),
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opts := modelOpts(backendConfig, appConfig, []model.Option{
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model.WithBackendString(backendConfig.Backend),
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model.WithAssetDir(appConfig.AssetsDestination),
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model.WithThreads(uint32(backendConfig.Threads)),
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model.WithContext(appConfig.Context),
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model.WithModel(backendConfig.Model),
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model.WithLoadGRPCLoadModelOpts(&proto.ModelOptions{
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CUDA: c.CUDA || c.Diffusers.CUDA,
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SchedulerType: c.Diffusers.SchedulerType,
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PipelineType: c.Diffusers.PipelineType,
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CFGScale: c.Diffusers.CFGScale,
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LoraAdapter: c.LoraAdapter,
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LoraScale: c.LoraScale,
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LoraBase: c.LoraBase,
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IMG2IMG: c.Diffusers.IMG2IMG,
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CLIPModel: c.Diffusers.ClipModel,
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CLIPSubfolder: c.Diffusers.ClipSubFolder,
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CLIPSkip: int32(c.Diffusers.ClipSkip),
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ControlNet: c.Diffusers.ControlNet,
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CUDA: backendConfig.CUDA || backendConfig.Diffusers.CUDA,
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SchedulerType: backendConfig.Diffusers.SchedulerType,
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PipelineType: backendConfig.Diffusers.PipelineType,
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CFGScale: backendConfig.Diffusers.CFGScale,
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LoraAdapter: backendConfig.LoraAdapter,
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LoraScale: backendConfig.LoraScale,
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LoraBase: backendConfig.LoraBase,
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IMG2IMG: backendConfig.Diffusers.IMG2IMG,
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CLIPModel: backendConfig.Diffusers.ClipModel,
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CLIPSubfolder: backendConfig.Diffusers.ClipSubFolder,
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CLIPSkip: int32(backendConfig.Diffusers.ClipSkip),
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ControlNet: backendConfig.Diffusers.ControlNet,
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}),
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})
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@ -40,19 +40,19 @@ func ImageGeneration(height, width, mode, step, seed int, positive_prompt, negat
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fn := func() error {
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_, err := inferenceModel.GenerateImage(
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o.Context,
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appConfig.Context,
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&proto.GenerateImageRequest{
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Height: int32(height),
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Width: int32(width),
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Mode: int32(mode),
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Step: int32(step),
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Seed: int32(seed),
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CLIPSkip: int32(c.Diffusers.ClipSkip),
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CLIPSkip: int32(backendConfig.Diffusers.ClipSkip),
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PositivePrompt: positive_prompt,
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NegativePrompt: negative_prompt,
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Dst: dst,
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Src: src,
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EnableParameters: c.Diffusers.EnableParameters,
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EnableParameters: backendConfig.Diffusers.EnableParameters,
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})
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return err
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}
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