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chore(stablediffusion-ncn): drop in favor of ggml implementation (#4652)
* chore(stablediffusion-ncn): drop in favor of ggml implementation Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * chore(ci): drop stablediffusion build Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * chore(tests): add Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * chore(tests): try to fixup current tests Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Try to fix tests Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Tests improvements Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * chore(tests): use quality to specify step Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * chore(tests): switch to sd-1.5 also increase prep time for downloading models Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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22 changed files with 123 additions and 302 deletions
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package main
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// Note: this is started internally by LocalAI and a server is allocated for each model
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import (
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"flag"
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grpc "github.com/mudler/LocalAI/pkg/grpc"
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)
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var (
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addr = flag.String("addr", "localhost:50051", "the address to connect to")
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)
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func main() {
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flag.Parse()
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if err := grpc.StartServer(*addr, &Image{}); err != nil {
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panic(err)
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}
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}
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@ -1,33 +0,0 @@
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package main
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// This is a wrapper to statisfy the GRPC service interface
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// It is meant to be used by the main executable that is the server for the specific backend type (falcon, gpt3, etc)
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import (
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"github.com/mudler/LocalAI/pkg/grpc/base"
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pb "github.com/mudler/LocalAI/pkg/grpc/proto"
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"github.com/mudler/LocalAI/pkg/stablediffusion"
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)
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type Image struct {
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base.SingleThread
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stablediffusion *stablediffusion.StableDiffusion
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}
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func (image *Image) Load(opts *pb.ModelOptions) error {
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var err error
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// Note: the Model here is a path to a directory containing the model files
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image.stablediffusion, err = stablediffusion.New(opts.ModelFile)
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return err
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}
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func (image *Image) GenerateImage(opts *pb.GenerateImageRequest) error {
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return image.stablediffusion.GenerateImage(
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int(opts.Height),
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int(opts.Width),
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int(opts.Mode),
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int(opts.Step),
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int(opts.Seed),
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opts.PositivePrompt,
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opts.NegativePrompt,
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opts.Dst)
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}
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