mirror of
https://github.com/mudler/LocalAI.git
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5d1018495f
* feat(intel): add diffusers support * try to consume upstream container image * Debug * Manually install deps * Map transformers/hf cache dir to modelpath if not specified * fix(compel): update initialization, pass by all gRPC options * fix: add dependencies, implement transformers for xpu * base it from the oneapi image * Add pillow * set threads if specified when launching the API * Skip conda install if intel * defaults to non-intel * ci: add to pipelines * prepare compel only if enabled * Skip conda install if intel * fix cleanup * Disable compel by default * Install torch 2.1.0 with Intel * Skip conda on some setups * Detect python * Quiet output * Do not override system python with conda * Prefer python3 * Fixups * exllama2: do not install without conda (overrides pytorch version) * exllama/exllama2: do not install if not using cuda * Add missing dataset dependency * Small fixups, symlink to python, add requirements * Add neural_speed to the deps * correctly handle model offloading * fix: device_map == xpu * go back at calling python, fixed at dockerfile level * Exllama2 restricted to only nvidia gpus * Tokenizer to xpu
53 lines
1.5 KiB
Go
53 lines
1.5 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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threads := backendConfig.Threads
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if threads == 0 && appConfig.Threads != 0 {
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threads = appConfig.Threads
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}
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gRPCOpts := gRPCModelOpts(backendConfig)
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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(threads)),
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model.WithContext(appConfig.Context),
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model.WithModel(backendConfig.Model),
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model.WithLoadGRPCLoadModelOpts(gRPCOpts),
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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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