feat(backend): add stablediffusion-ggml

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
This commit is contained in:
Ettore Di Giacinto 2024-11-29 18:02:08 +01:00
parent e51792784a
commit 71d82e44e5
6 changed files with 438 additions and 7 deletions

View file

@ -30,6 +30,10 @@ TINYDREAM_VERSION?=c04fa463ace9d9a6464313aa5f9cd0f953b6c057
BARKCPP_REPO?=https://github.com/PABannier/bark.cpp.git
BARKCPP_VERSION?=v1.0.0
# bark.cpp
STABLEDIFFUSION_GGML_REPO?=https://github.com/leejet/stable-diffusion.cpp
STABLEDIFFUSION_GGML_VERSION?=4570715727f35e5a07a76796d823824c8f42206c
ONNX_VERSION?=1.20.0
ONNX_ARCH?=x64
ONNX_OS?=linux
@ -209,6 +213,7 @@ ALL_GRPC_BACKENDS+=backend-assets/grpc/whisper
ifeq ($(ONNX_OS),linux)
ifeq ($(ONNX_ARCH),x64)
ALL_GRPC_BACKENDS+=backend-assets/grpc/bark-cpp
ALL_GRPC_BACKENDS+=backend-assets/grpc/stablediffusion-ggml
endif
endif
@ -244,15 +249,19 @@ sources/go-llama.cpp:
git checkout $(GOLLAMA_VERSION) && \
git submodule update --init --recursive --depth 1 --single-branch
sources/go-llama.cpp/libbinding.a: sources/go-llama.cpp
$(MAKE) -C sources/go-llama.cpp BUILD_TYPE=$(STABLE_BUILD_TYPE) libbinding.a
## bark.cpp
sources/bark.cpp:
git clone --recursive https://github.com/PABannier/bark.cpp.git sources/bark.cpp && \
git clone --recursive $(BARKCPP_REPO) sources/bark.cpp && \
cd sources/bark.cpp && \
git checkout $(BARKCPP_VERSION) && \
git submodule update --init --recursive --depth 1 --single-branch
sources/bark.cpp/build/libbark.a: sources/bark.cpp
cd sources/bark.cpp && \
mkdir build && \
mkdir -p build && \
cd build && \
cmake $(CMAKE_ARGS) .. && \
cmake --build . --config Release
@ -260,9 +269,6 @@ sources/bark.cpp/build/libbark.a: sources/bark.cpp
backend/go/bark/libbark.a: sources/bark.cpp/build/libbark.a
$(MAKE) -C backend/go/bark libbark.a
sources/go-llama.cpp/libbinding.a: sources/go-llama.cpp
$(MAKE) -C sources/go-llama.cpp BUILD_TYPE=$(STABLE_BUILD_TYPE) libbinding.a
## go-piper
sources/go-piper:
mkdir -p sources/go-piper
@ -276,7 +282,7 @@ sources/go-piper:
sources/go-piper/libpiper_binding.a: sources/go-piper
$(MAKE) -C sources/go-piper libpiper_binding.a example/main piper.o
## stable diffusion
## stable diffusion (onnx)
sources/go-stable-diffusion:
mkdir -p sources/go-stable-diffusion
cd sources/go-stable-diffusion && \
@ -289,6 +295,30 @@ sources/go-stable-diffusion:
sources/go-stable-diffusion/libstablediffusion.a: sources/go-stable-diffusion
CPATH="$(CPATH):/usr/include/opencv4" $(MAKE) -C sources/go-stable-diffusion libstablediffusion.a
## stablediffusion (ggml)
sources/stablediffusion-ggml.cpp:
git clone --recursive $(STABLEDIFFUSION_GGML_REPO) sources/stablediffusion-ggml.cpp && \
cd sources/stablediffusion-ggml.cpp && \
git checkout $(STABLEDIFFUSION_GGML_VERSION) && \
git submodule update --init --recursive --depth 1 --single-branch
sources/stablediffusion-ggml.cpp/build/libstable-diffusion.a: sources/stablediffusion-ggml.cpp
cd sources/stablediffusion-ggml.cpp && \
mkdir -p build && \
cd build && \
cmake $(CMAKE_ARGS) .. && \
cmake --build . --config Release
backend/go/image/stablediffusion-ggml/libsd.a: sources/stablediffusion-ggml.cpp/build/libstable-diffusion.a
$(MAKE) -C backend/go/image/stablediffusion-ggml libsd.a
backend-assets/grpc/stablediffusion-ggml: backend/go/image/stablediffusion-ggml/libsd.a backend-assets/grpc
CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(CURDIR)/backend/go/image/stablediffusion-ggml/ LIBRARY_PATH=$(CURDIR)/backend/go/image/stablediffusion-ggml/ \
$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/stablediffusion-ggml ./backend/go/image/stablediffusion-ggml/
ifneq ($(UPX),)
$(UPX) backend-assets/grpc/stablediffusion-ggml
endif
sources/onnxruntime:
mkdir -p sources/onnxruntime
curl -L https://github.com/microsoft/onnxruntime/releases/download/v$(ONNX_VERSION)/onnxruntime-$(ONNX_OS)-$(ONNX_ARCH)-$(ONNX_VERSION).tgz -o sources/onnxruntime/onnxruntime-$(ONNX_OS)-$(ONNX_ARCH)-$(ONNX_VERSION).tgz
@ -329,7 +359,7 @@ sources/whisper.cpp:
sources/whisper.cpp/libwhisper.a: sources/whisper.cpp
cd sources/whisper.cpp && $(MAKE) libwhisper.a libggml.a
get-sources: sources/go-llama.cpp sources/go-piper sources/bark.cpp sources/whisper.cpp sources/go-stable-diffusion sources/go-tiny-dream backend/cpp/llama/llama.cpp
get-sources: sources/go-llama.cpp sources/go-piper sources/stablediffusion-ggml.cpp sources/bark.cpp sources/whisper.cpp sources/go-stable-diffusion sources/go-tiny-dream backend/cpp/llama/llama.cpp
replace:
$(GOCMD) mod edit -replace github.com/ggerganov/whisper.cpp=$(CURDIR)/sources/whisper.cpp
@ -372,6 +402,7 @@ clean: ## Remove build related file
$(MAKE) -C backend/cpp/grpc clean
$(MAKE) -C backend/go/bark clean
$(MAKE) -C backend/cpp/llama clean
$(MAKE) -C backend/go/image/stablediffusion-ggml clean
rm -rf backend/cpp/llama-* || true
$(MAKE) dropreplace
$(MAKE) protogen-clean

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@ -0,0 +1,21 @@
INCLUDE_PATH := $(abspath ./)
LIBRARY_PATH := $(abspath ./)
AR?=ar
BUILD_TYPE?=
# keep standard at C11 and C++11
CXXFLAGS = -I. -I$(INCLUDE_PATH)/../../../../sources/stablediffusion-ggml.cpp/thirdparty -I$(INCLUDE_PATH)/../../../../sources/stablediffusion-ggml.cpp/ggml/include -I$(INCLUDE_PATH)/../../../../sources/stablediffusion-ggml.cpp -O3 -DNDEBUG -std=c++17 -fPIC
# warnings
CXXFLAGS += -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function
gosd.o:
$(CXX) $(CXXFLAGS) gosd.cpp -o gosd.o -c
libsd.a: gosd.o
cp $(INCLUDE_PATH)/../../../../sources/stablediffusion-ggml.cpp/build/libstable-diffusion.a ./libsd.a
$(AR) rcs libsd.a gosd.o
clean:
rm -f gosd.o libsd.a

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@ -0,0 +1,292 @@
#include <stdio.h>
#include <string.h>
#include <time.h>
#include <iostream>
#include <random>
#include <string>
#include <vector>
#include "gosd.h"
// #include "preprocessing.hpp"
#include "flux.hpp"
#include "stable-diffusion.h"
#define STB_IMAGE_IMPLEMENTATION
#define STB_IMAGE_STATIC
#include "stb_image.h"
#define STB_IMAGE_WRITE_IMPLEMENTATION
#define STB_IMAGE_WRITE_STATIC
#include "stb_image_write.h"
#define STB_IMAGE_RESIZE_IMPLEMENTATION
#define STB_IMAGE_RESIZE_STATIC
#include "stb_image_resize.h"
const char* rng_type_to_str[] = {
"std_default",
"cuda",
};
// Names of the sampler method, same order as enum sample_method in stable-diffusion.h
const char* sample_method_str[] = {
"euler_a",
"euler",
"heun",
"dpm2",
"dpm++2s_a",
"dpm++2m",
"dpm++2mv2",
"ipndm",
"ipndm_v",
"lcm",
};
// Names of the sigma schedule overrides, same order as sample_schedule in stable-diffusion.h
const char* schedule_str[] = {
"default",
"discrete",
"karras",
"exponential",
"ays",
"gits",
};
const char* modes_str[] = {
"txt2img",
"img2img",
"img2vid",
"convert",
};
enum SDMode {
TXT2IMG,
IMG2IMG,
IMG2VID,
CONVERT,
MODE_COUNT
};
struct SDParams {
int n_threads = -1;
SDMode mode = TXT2IMG;
std::string model_path;
std::string clip_l_path;
std::string clip_g_path;
std::string t5xxl_path;
std::string diffusion_model_path;
std::string vae_path;
std::string taesd_path;
std::string esrgan_path;
std::string controlnet_path;
std::string embeddings_path;
std::string stacked_id_embeddings_path;
std::string input_id_images_path;
sd_type_t wtype = SD_TYPE_COUNT;
std::string lora_model_dir;
std::string output_path = "output.png";
std::string input_path;
std::string control_image_path;
std::string prompt;
std::string negative_prompt;
float min_cfg = 1.0f;
float cfg_scale = 7.0f;
float guidance = 3.5f;
float style_ratio = 20.f;
int clip_skip = -1; // <= 0 represents unspecified
int width = 512;
int height = 512;
int batch_count = 1;
int video_frames = 6;
int motion_bucket_id = 127;
int fps = 6;
float augmentation_level = 0.f;
sample_method_t sample_method = EULER_A;
schedule_t schedule = DEFAULT;
int sample_steps = 20;
float strength = 0.75f;
float control_strength = 0.9f;
rng_type_t rng_type = CUDA_RNG;
int64_t seed = 42;
bool verbose = false;
bool vae_tiling = false;
bool control_net_cpu = false;
bool normalize_input = false;
bool clip_on_cpu = false;
bool vae_on_cpu = false;
bool diffusion_flash_attn = false;
bool canny_preprocess = false;
bool color = false;
int upscale_repeats = 1;
std::vector<int> skip_layers = {7, 8, 9};
float slg_scale = 0.;
float skip_layer_start = 0.01;
float skip_layer_end = 0.2;
};
void print_params(SDParams params) {
printf("Option: \n");
printf(" n_threads: %d\n", params.n_threads);
printf(" mode: %s\n", modes_str[params.mode]);
printf(" model_path: %s\n", params.model_path.c_str());
printf(" wtype: %s\n", params.wtype < SD_TYPE_COUNT ? sd_type_name(params.wtype) : "unspecified");
printf(" clip_l_path: %s\n", params.clip_l_path.c_str());
printf(" clip_g_path: %s\n", params.clip_g_path.c_str());
printf(" t5xxl_path: %s\n", params.t5xxl_path.c_str());
printf(" diffusion_model_path: %s\n", params.diffusion_model_path.c_str());
printf(" vae_path: %s\n", params.vae_path.c_str());
printf(" taesd_path: %s\n", params.taesd_path.c_str());
printf(" esrgan_path: %s\n", params.esrgan_path.c_str());
printf(" controlnet_path: %s\n", params.controlnet_path.c_str());
printf(" embeddings_path: %s\n", params.embeddings_path.c_str());
printf(" stacked_id_embeddings_path: %s\n", params.stacked_id_embeddings_path.c_str());
printf(" input_id_images_path: %s\n", params.input_id_images_path.c_str());
printf(" style ratio: %.2f\n", params.style_ratio);
printf(" normalize input image : %s\n", params.normalize_input ? "true" : "false");
printf(" output_path: %s\n", params.output_path.c_str());
printf(" init_img: %s\n", params.input_path.c_str());
printf(" control_image: %s\n", params.control_image_path.c_str());
printf(" clip on cpu: %s\n", params.clip_on_cpu ? "true" : "false");
printf(" controlnet cpu: %s\n", params.control_net_cpu ? "true" : "false");
printf(" vae decoder on cpu:%s\n", params.vae_on_cpu ? "true" : "false");
printf(" diffusion flash attention:%s\n", params.diffusion_flash_attn ? "true" : "false");
printf(" strength(control): %.2f\n", params.control_strength);
printf(" prompt: %s\n", params.prompt.c_str());
printf(" negative_prompt: %s\n", params.negative_prompt.c_str());
printf(" min_cfg: %.2f\n", params.min_cfg);
printf(" cfg_scale: %.2f\n", params.cfg_scale);
printf(" slg_scale: %.2f\n", params.slg_scale);
printf(" guidance: %.2f\n", params.guidance);
printf(" clip_skip: %d\n", params.clip_skip);
printf(" width: %d\n", params.width);
printf(" height: %d\n", params.height);
printf(" sample_method: %s\n", sample_method_str[params.sample_method]);
printf(" schedule: %s\n", schedule_str[params.schedule]);
printf(" sample_steps: %d\n", params.sample_steps);
printf(" strength(img2img): %.2f\n", params.strength);
printf(" rng: %s\n", rng_type_to_str[params.rng_type]);
printf(" seed: %ld\n", params.seed);
printf(" batch_count: %d\n", params.batch_count);
printf(" vae_tiling: %s\n", params.vae_tiling ? "true" : "false");
printf(" upscale_repeats: %d\n", params.upscale_repeats);
}
sd_ctx_t* sd_c;
int load_model(char *model, char *schedule_selected, int threads) {
int schedule_found = -1;
for (int d = 0; d < N_SCHEDULES; d++) {
if (!strcmp(schedule_selected, schedule_str[d])) {
schedule_found = d;
}
}
if (schedule_found == -1) {
printf("invalid scheduler\n");
return 1;
}
schedule_t schedule = (schedule_t)schedule_found;
sd_ctx_t* sd_ctx = new_sd_ctx(model,
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
false,
false,
true,
threads,
SD_TYPE_COUNT,
STD_DEFAULT_RNG,
schedule,
false,
false,
false,
false);
if (sd_ctx == NULL) {
printf("new_sd_ctx_t failed\n");
return 1;
}
sd_c = sd_ctx;
return 0;
}
int gen_image(char *text, char *negativeText, int width, int height, int steps, int seed , char* sample_method_selected, char *dst ) {
sd_image_t* results;
int sample_method_found = -1;
for (int m = 0; m < N_SAMPLE_METHODS; m++) {
if (!strcmp(sample_method_selected, sample_method_str[m])) {
sample_method_found = m;
}
}
if (sample_method_found == -1) {
printf("generate failed\n");
return 1;
}
sample_method_t sample_method = (sample_method_t)sample_method_found;
std::vector<int> skip_layers = {7, 8, 9};
results = txt2img(sd_c,
text,
negativeText,
-1, //clip_skip
7.0f, // sfg_scale
3.5f,
width,
height,
sample_method,
steps,
seed,
1,
NULL,
0.9f,
20.f,
false,
"",
skip_layers.data(),
skip_layers.size(),
0,
0.01,
0.2);
if (results == NULL) {
printf("generate failed\n");
return 1;
}
if (results[0].data == NULL) {
printf("generate failed\n");
return 1;
}
stbi_write_png(dst, results[0].width, results[0].height, results[0].channel,
results[0].data, 0, "");
printf("save result image to '%s'\n", dst);
free(results[0].data);
results[0].data = NULL;
free(results);
}
int unload() {
free_sd_ctx(sd_c);
}

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@ -0,0 +1,59 @@
package main
// #cgo CXXFLAGS: -I${SRCDIR}/../../../../sources/stablediffusion-ggml.cpp/thirdparty -I${SRCDIR}/../../../../sources/stablediffusion-ggml.cpp -I${SRCDIR}/../../../../sources/stablediffusion-ggml.cpp/ggml/include
// #cgo LDFLAGS: -L${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
// #include <gosd.h>
// #include <stdlib.h>
import "C"
import (
"fmt"
"unsafe"
"github.com/mudler/LocalAI/pkg/grpc/base"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
)
type SDGGML struct {
base.SingleThread
threads int
}
func (sd *SDGGML) Load(opts *pb.ModelOptions) error {
sd.threads = int(opts.Threads)
schedulerType := C.CString(opts.SchedulerType)
defer C.free(unsafe.Pointer(schedulerType))
modelFile := C.CString(opts.ModelFile)
defer C.free(unsafe.Pointer(modelFile))
ret := C.load_model(modelFile, schedulerType, C.int(opts.Threads))
if ret != 0 {
return fmt.Errorf("inference failed")
}
return nil
}
func (sd *SDGGML) GenerateImage(opts *pb.GenerateImageRequest) error {
t := C.CString(opts.PositivePrompt)
defer C.free(unsafe.Pointer(t))
dst := C.CString(opts.Dst)
defer C.free(unsafe.Pointer(dst))
negative := C.CString(opts.NegativePrompt)
defer C.free(unsafe.Pointer(negative))
sampleMethod := C.CString(opts.EnableParameters)
defer C.free(unsafe.Pointer(sampleMethod))
ret := C.gen_image(t, negative, C.int(opts.Width), C.int(opts.Height), C.int(opts.Step), C.int(opts.Seed), sampleMethod, dst)
if ret != 0 {
return fmt.Errorf("inference failed")
}
return nil
}

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@ -0,0 +1,8 @@
#ifdef __cplusplus
extern "C" {
#endif
int load_model(char *model, char *schedule_selected, int threads);
int gen_image(char *text, char *negativeText, int width, int height, int steps, int seed , char* sample_method_selected, char *dst );
#ifdef __cplusplus
}
#endif

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@ -0,0 +1,20 @@
package main
// Note: this is started internally by LocalAI and a server is allocated for each model
import (
"flag"
grpc "github.com/mudler/LocalAI/pkg/grpc"
)
var (
addr = flag.String("addr", "localhost:50051", "the address to connect to")
)
func main() {
flag.Parse()
if err := grpc.StartServer(*addr, &SDGGML{}); err != nil {
panic(err)
}
}