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Code Issues Projects Releases Packages Wiki Activity Actions 13

feat: Add Diffusers (#874)

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Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
This commit is contained in:
Ettore Di Giacinto 2023-08-09 08:38:51 +02:00 • committed by GitHub
parent 93a4bec06b
commit 8c781a6a44
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GPG key ID: 4AEE18F83AFDEB23
21 changed files with 741 additions and 217 deletions
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2
api/backend/embeddings.go
View file

@ -23,7 +23,7 @@ func ModelEmbedding(s string, tokens []int, loader *model.ModelLoader, c config.
var err error
opts := []model.Option{
model.WithLoadGRPCLLMModelOpts(grpcOpts),
model.WithLoadGRPCLoadModelOpts(grpcOpts),
model.WithThreads(uint32(c.Threads)),
model.WithAssetDir(o.AssetsDestination),
model.WithModel(modelFile),

11
api/backend/image.go
View file

@ -1,7 +1,6 @@
package backend
import (
"fmt"
"sync"
config "github.com/go-skynet/LocalAI/api/config"
@ -11,16 +10,18 @@ import (
)
func ImageGeneration(height, width, mode, step, seed int, positive_prompt, negative_prompt, dst string, loader *model.ModelLoader, c config.Config, o *options.Option) (func() error, error) {
if c.Backend != model.StableDiffusionBackend {
return nil, fmt.Errorf("endpoint only working with stablediffusion models")
}
opts := []model.Option{
model.WithBackendString(c.Backend),
model.WithAssetDir(o.AssetsDestination),
model.WithThreads(uint32(c.Threads)),
model.WithContext(o.Context),
model.WithModel(c.ImageGenerationAssets),
model.WithModel(c.Model),
model.WithLoadGRPCLoadModelOpts(&proto.ModelOptions{
CUDA: c.Diffusers.CUDA,
SchedulerType: c.Diffusers.SchedulerType,
PipelineType: c.Diffusers.PipelineType,
}),
}
for k, v := range o.ExternalGRPCBackends {

2
api/backend/llm.go
View file

@ -24,7 +24,7 @@ func ModelInference(ctx context.Context, s string, loader *model.ModelLoader, c
var err error
opts := []model.Option{
model.WithLoadGRPCLLMModelOpts(grpcOpts),
model.WithLoadGRPCLoadModelOpts(grpcOpts),
model.WithThreads(uint32(c.Threads)), // some models uses this to allocate threads during startup
model.WithAssetDir(o.AssetsDestination),
model.WithModel(modelFile),

50
api/backend/options.go
View file

@ -15,27 +15,29 @@ func gRPCModelOpts(c config.Config) *pb.ModelOptions {
b = c.Batch
}
return &pb.ModelOptions{
ContextSize: int32(c.ContextSize),
Seed: int32(c.Seed),
NBatch: int32(b),
NGQA: c.NGQA,
ModelBaseName: c.ModelBaseName,
UseFastTokenizer: c.UseFastTokenizer,
Device: c.Device,
UseTriton: c.Triton,
RMSNormEps: c.RMSNormEps,
F16Memory: c.F16,
MLock: c.MMlock,
RopeFreqBase: c.RopeFreqBase,
RopeFreqScale: c.RopeFreqScale,
NUMA: c.NUMA,
Embeddings: c.Embeddings,
LowVRAM: c.LowVRAM,
NGPULayers: int32(c.NGPULayers),
MMap: c.MMap,
MainGPU: c.MainGPU,
Threads: int32(c.Threads),
TensorSplit: c.TensorSplit,
ContextSize: int32(c.ContextSize),
Seed: int32(c.Seed),
NBatch: int32(b),
NGQA: c.NGQA,
RMSNormEps: c.RMSNormEps,
F16Memory: c.F16,
MLock: c.MMlock,
RopeFreqBase: c.RopeFreqBase,
RopeFreqScale: c.RopeFreqScale,
NUMA: c.NUMA,
Embeddings: c.Embeddings,
LowVRAM: c.LowVRAM,
NGPULayers: int32(c.NGPULayers),
MMap: c.MMap,
MainGPU: c.MainGPU,
Threads: int32(c.Threads),
TensorSplit: c.TensorSplit,
// AutoGPTQ
ModelBaseName: c.AutoGPTQ.ModelBaseName,
Device: c.AutoGPTQ.Device,
UseTriton: c.AutoGPTQ.Triton,
UseFastTokenizer: c.AutoGPTQ.UseFastTokenizer,
}
}
@ -62,9 +64,9 @@ func gRPCPredictOpts(c config.Config, modelPath string) *pb.PredictOptions {
RopeFreqBase: c.RopeFreqBase,
RopeFreqScale: c.RopeFreqScale,
NegativePrompt: c.NegativePrompt,
Mirostat: int32(c.Mirostat),
MirostatETA: float32(c.MirostatETA),
MirostatTAU: float32(c.MirostatTAU),
Mirostat: int32(c.LLMConfig.Mirostat),
MirostatETA: float32(c.LLMConfig.MirostatETA),
MirostatTAU: float32(c.LLMConfig.MirostatTAU),
Debug: c.Debug,
StopPrompts: c.StopWords,
Repeat: int32(c.RepeatPenalty),