mirror of https://github.com/mudler/LocalAI.git
62 lines
2.0 KiB
Go
62 lines
2.0 KiB
Go
package backend
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import (
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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, backendConfig config.BackendConfig, appConfig *config.ApplicationConfig) (func() error, error) {
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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: 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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inferenceModel, err := loader.BackendLoader(
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opts...,
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)
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if err != nil {
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return nil, err
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}
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fn := func() error {
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_, err := inferenceModel.GenerateImage(
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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(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: backendConfig.Diffusers.EnableParameters,
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})
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return err
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}
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return fn, nil
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}
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