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feat(backend): add stablediffusion-ggml (#4289)
* feat(backend): add stablediffusion-ggml Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * chore(ci): track stablediffusion-ggml Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fixups Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Use default scheduler and sampler if not specified Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fixups Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Move cfg scale out of diffusers block Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Make it working Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix: set free_params_immediately to false to call the model in sequence https://github.com/leejet/stable-diffusion.cpp/issues/366 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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12 changed files with 437 additions and 21 deletions
96
backend/go/image/stablediffusion-ggml/gosd.go
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96
backend/go/image/stablediffusion-ggml/gosd.go
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package main
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// #cgo CXXFLAGS: -I${SRCDIR}/../../../../sources/stablediffusion-ggml.cpp/thirdparty -I${SRCDIR}/../../../../sources/stablediffusion-ggml.cpp -I${SRCDIR}/../../../../sources/stablediffusion-ggml.cpp/ggml/include
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// #cgo LDFLAGS: -L${SRCDIR}/ -L${SRCDIR}/../../../../sources/stablediffusion-ggml.cpp/build/ggml/src/ggml-cpu -L${SRCDIR}/../../../../sources/stablediffusion-ggml.cpp/build/ggml/src -lsd -lstdc++ -lm -lggml -lggml-base -lggml-cpu -lgomp
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// #include <gosd.h>
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// #include <stdlib.h>
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import "C"
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import (
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"fmt"
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"os"
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"path/filepath"
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"strings"
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"unsafe"
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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/utils"
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)
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type SDGGML struct {
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base.SingleThread
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threads int
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sampleMethod string
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cfgScale float32
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}
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func (sd *SDGGML) Load(opts *pb.ModelOptions) error {
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sd.threads = int(opts.Threads)
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modelFile := C.CString(opts.ModelFile)
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defer C.free(unsafe.Pointer(modelFile))
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var options **C.char
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// prepare the options array to pass to C
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size := C.size_t(unsafe.Sizeof((*C.char)(nil)))
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length := C.size_t(len(opts.Options))
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options = (**C.char)(C.malloc(length * size))
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view := (*[1 << 30]*C.char)(unsafe.Pointer(options))[0:len(opts.Options):len(opts.Options)]
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var diffusionModel int
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var oo []string
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for _, op := range opts.Options {
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if op == "diffusion_model" {
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diffusionModel = 1
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continue
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}
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// If it's an option path, we resolve absolute path from the model path
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if strings.Contains(op, ":") && strings.Contains(op, "path") {
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data := strings.Split(op, ":")
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data[1] = filepath.Join(opts.ModelPath, data[1])
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if err := utils.VerifyPath(data[1], opts.ModelPath); err == nil {
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oo = append(oo, strings.Join(data, ":"))
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}
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} else {
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oo = append(oo, op)
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}
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}
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fmt.Fprintf(os.Stderr, "Options: %+v\n", oo)
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for i, x := range oo {
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view[i] = C.CString(x)
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}
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sd.cfgScale = opts.CFGScale
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ret := C.load_model(modelFile, options, C.int(opts.Threads), C.int(diffusionModel))
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if ret != 0 {
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return fmt.Errorf("could not load model")
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}
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return nil
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}
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func (sd *SDGGML) GenerateImage(opts *pb.GenerateImageRequest) error {
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t := C.CString(opts.PositivePrompt)
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defer C.free(unsafe.Pointer(t))
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dst := C.CString(opts.Dst)
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defer C.free(unsafe.Pointer(dst))
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negative := C.CString(opts.NegativePrompt)
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defer C.free(unsafe.Pointer(negative))
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ret := C.gen_image(t, negative, C.int(opts.Width), C.int(opts.Height), C.int(opts.Step), C.int(opts.Seed), dst, C.float(sd.cfgScale))
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if ret != 0 {
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return fmt.Errorf("inference failed")
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}
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return nil
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}
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