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* feat(api): add POST /v1/images/upscale endpoint Add a new image upscaling endpoint that accepts a source image and returns an upscaled version. Supports selectable upscaler models (e.g. realesrgan) and a configurable scale factor (2x or 4x). - backend.proto: add UpscaleImage RPC and UpscaleImageRequest message - pkg/grpc: implement UpscaleImage in Backend interface, client, server and embed shim - core/backend/upscale.go: new backend helper (mirrors ImageGeneration) - core/http/endpoints/openai/upscale.go: new multipart/form-data handler - core/http/routes/openai.go: register POST /v1/images/upscale - core/http/auth/features.go: gate upscale routes under FeatureImages - backend/python/diffusers/backend.py: implement UpscaleImage — uses diffusers upscale pipeline when loaded, falls back to Lanczos resize * fix(grpc): add UpscaleImage stub to Base backend All Go backends embedding Base now satisfy the AIModel interface without needing to implement UpscaleImage explicitly. * fix(images): complete upscale endpoint integration Store generated upscales under the served images directory, validate scale factors, document and advertise the endpoint, and add a functional Stable Diffusion x4 gallery model. Assisted-by: Codex:gpt-5 --------- Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
38 lines
1016 B
Go
38 lines
1016 B
Go
package backend
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import (
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"context"
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"github.com/mudler/LocalAI/core/config"
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"github.com/mudler/LocalAI/pkg/grpc/proto"
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model "github.com/mudler/LocalAI/pkg/model"
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)
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// ImageUpscale loads the model specified in modelConfig and calls UpscaleImage
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// on the backend, writing the result to dst.
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func ImageUpscale(ctx context.Context, src, dst string, scale int, loader *model.ModelLoader, modelConfig config.ModelConfig, appConfig *config.ApplicationConfig) (func() error, error) {
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opts := ModelOptions(modelConfig, appConfig, model.WithContext(ctx))
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inferenceModel, err := loader.Load(opts...)
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if err != nil {
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recordModelLoadFailure(appConfig, modelConfig.Name, modelConfig.Backend, 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.UpscaleImage(
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ctx,
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&proto.UpscaleImageRequest{
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Src: src,
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Dst: dst,
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Scale: int32(scale),
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},
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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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// ImageUpscaleFunc is a test-friendly indirection.
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var ImageUpscaleFunc = ImageUpscale
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