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* feat(3d): add Generate3D RPC, FLAG_3D capability, and /v1/3d/generations endpoint Adds the plumbing for image-conditioned 3D asset generation (binary glTF / GLB output), modeled on the video generation path: - backend.proto: Generate3D RPC + Generate3DRequest (staged image src, glb dst, seed/step/cfg_scale/texture_steps, quality and background enums, params map for backend-specific extras) - pkg/grpc: thread Generate3D through client, server, embed, base and the backend interfaces; connection-evicting and distributed-node wrappers (in-flight tracking + file staging) included - core/config: FLAG_3D usecase (guessed only for the trellis2cpp backend), '3d' canonical usecase string mapped to the Generate3D method, and a '3d' output modality - REST: POST /v1/3d/generations (+ unversioned alias) returning OpenAIResponse with a /generated-3d URL or b64_json; conditioning image accepted as URL, base64, or data URI; quality/background validated at the edge; .glb served as model/gltf-binary - auth: '3d' route feature (default ON); /api/instructions entry Assisted-by: Claude:claude-fable-5 [Claude Code] Signed-off-by: Richard Palethorpe <io@richiejp.com> * feat(trellis2cpp): add the trellis2.cpp image-to-3D backend Wraps localai-org/trellis2cpp (C++/GGML port of Microsoft TRELLIS.2, pbr-textures branch) as a Go+purego backend, following the stablediffusion-ggml pattern: - backend/go/trellis2cpp: purego bindings to the flat C ABI (v9, asserted at startup), eager pipeline load with model-set validation (refuses non-trellis GGUFs; degrades coarse/geometry-only/textured exactly like the upstream demo), Generate3D via t2_generate + t2_bake_glb writing a binary glTF to dst. Weight-free unit tests cover resolution/validation/param mapping — CI never downloads the multi-GB GGUF set or runs inference. - CPU SIMD variants build into per-variant directories (the shared libggml sonames collide across variants, unlike sd-ggml's flat renamed-.so scheme); run.sh picks one via /proc/cpuinfo. - CI wiring: backend-matrix entries (cpu, cuda12/13, vulkan amd64+arm64, l4t, l4t-cuda13, darwin metal), index.yaml meta + latest/master image entries, bump_deps tracking of the pbr-textures branch, changed-backends.js mapping, top-level Makefile targets. - Importer: auto-detects trellis GGUF repos/URIs (registered before llama-cpp so the .gguf match isn't stolen) and expands any trellis URI to the full 10-file component set spanning the three LocalAI-io HF repos. - Gallery: trellis2-4b (full PBR + 1024 cascade) and trellis2-4b-geometry (512 untextured) with verified sha256s. Assisted-by: Claude:claude-fable-5 [Claude Code] Signed-off-by: Richard Palethorpe <io@richiejp.com> * feat(ui): 3D generation page with native GLB viewer and IndexedDB history Adds a Studio tab + /app/3d page for the new image-to-3D endpoint: - GlbViewer ports the trellis2cpp demo's dependency-free WebGL2 renderer (quaternion trackball, metallic-roughness PBR, ACES, hidden-line wireframe with a bounded index budget) and pairs it with a minimal GLB parser for the two forms t2_bake_glb emits — dense vertex-PBR (linear COLOR_0 + _METALLIC_ROUGHNESS, uploaded as normalized integers) and the opt-in UV-atlas textured form. Parsing happens before any GL so stats and errors render without WebGL2. - use3DHistory stores past generations (params, input thumbnail, and the GLB blob itself) in IndexedDB with keep-newest-20 eviction — GLBs are multi-MB binaries localStorage can't hold — and the page offers a download button for the active GLB. - Wiring: CAP_3D capability constant (FLAG_3D — the exact string /api/models/capabilities serves), threeDApi, router entries, Studio tab, vite dev proxy, en locale keys. - e2e: render-smoke entry plus a focused spec that feeds a real one-triangle vertex-PBR GLB through the parser/viewer and exercises IndexedDB persistence, selection, deletion, and API errors. Assisted-by: Claude:claude-fable-5 [Claude Code] Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(3d): address API correctness and UX issues Keep 3D generation on the LocalAI-specific /3d/generations route and ensure authentication and permissions cover it. Propagate distributed transfer failures, publish a portable ARM64 backend image, honor importer overrides, and align discovery, upload validation, and touch controls. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * feat(3d): add previewable print remeshing Add a single-detail CGAL Alpha Wrap workflow for existing Trellis GLBs, including PBR reprojection, API documentation, tracing, and an in-browser preview before download. Allow the remesh route to enforce its 512 MiB upload cap independently of the smaller global default so generated high-resolution meshes can be processed. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * build(trellis2cpp): centralize remesh dependency pins Assisted-by: Codex:GPT-5 [apply_patch] [exec_command] Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(kokoros): implement Generate3D stub for new proto RPC The Generate3D RPC added to backend.proto for the trellis2cpp backend made tonic's generated Backend trait require generate3_d, breaking the kokoros-grpc build. Return unimplemented like the other unsupported modalities. Assisted-by: Claude Code:claude-fable-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> --------- Signed-off-by: Richard Palethorpe <io@richiejp.com> Co-authored-by: localai-org-maint-bot <bot-opensource@localaisrl.com>
187 lines
4.9 KiB
Go
187 lines
4.9 KiB
Go
package localai
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import (
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"encoding/base64"
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"encoding/json"
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"fmt"
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"net/http"
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"net/url"
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"os"
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"path/filepath"
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"slices"
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"time"
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"github.com/google/uuid"
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"github.com/labstack/echo/v4"
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"github.com/mudler/LocalAI/core/backend"
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"github.com/mudler/LocalAI/core/config"
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"github.com/mudler/LocalAI/core/http/middleware"
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"github.com/mudler/LocalAI/core/schema"
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"github.com/mudler/xlog"
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model "github.com/mudler/LocalAI/pkg/model"
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)
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// Conditioning images are single frames, so a much tighter cap than the
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// video-input limit is enough.
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const max3DInputBytes = 32 << 20
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var (
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valid3DQualities = []string{"", "auto", "coarse", "512", "1024"}
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valid3DBackgrounds = []string{"", "auto", "keep", "black", "white"}
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)
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// Model3DEndpoint
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// @Summary Creates a 3D asset (binary glTF / GLB) from a conditioning image.
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// @Tags 3d
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// @Param request body schema.Model3DRequest true "query params"
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// @Success 200 {object} schema.OpenAIResponse "Response"
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// @Router /3d/generations [post]
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func Model3DEndpoint(cl *config.ModelConfigLoader, ml *model.ModelLoader, appConfig *config.ApplicationConfig) echo.HandlerFunc {
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return func(c echo.Context) error {
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input, ok := c.Get(middleware.CONTEXT_LOCALS_KEY_LOCALAI_REQUEST).(*schema.Model3DRequest)
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if !ok || input.Model == "" {
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xlog.Error("3D Endpoint - Invalid Input")
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return echo.ErrBadRequest
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}
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config, ok := c.Get(middleware.CONTEXT_LOCALS_KEY_MODEL_CONFIG).(*config.ModelConfig)
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if !ok || config == nil {
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xlog.Error("3D Endpoint - Invalid Config")
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return echo.ErrBadRequest
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}
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if input.Image == "" {
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return echo.NewHTTPError(http.StatusBadRequest, "image is required: 3D generation is image-conditioned")
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}
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// Reject unknown enum values here rather than surfacing an opaque
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// backend error after a model load.
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if !slices.Contains(valid3DQualities, input.Quality) {
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return echo.NewHTTPError(http.StatusBadRequest, fmt.Sprintf("invalid quality %q: must be one of auto, coarse, 512, 1024", input.Quality))
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}
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if !slices.Contains(valid3DBackgrounds, input.Background) {
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return echo.NewHTTPError(http.StatusBadRequest, fmt.Sprintf("invalid background %q: must be one of auto, keep, black, white", input.Background))
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}
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src, err := stageVideoMediaWithLimit(c.Request().Context(), appConfig.GeneratedContentDir, input.Image, max3DInputBytes)
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if err != nil {
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return echo.NewHTTPError(http.StatusBadRequest, fmt.Sprintf("invalid image: %v", err))
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}
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defer func() { _ = os.Remove(src) }()
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xlog.Debug("Parameter Config", "config", config)
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if config.Backend == "" {
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config.Backend = model.Trellis2CppBackend
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}
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step := input.Step
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if step == 0 && config.Step != 0 {
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step = int32(config.Step)
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}
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cfgScale := input.CFGScale
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if cfgScale == 0 && config.CFGScale != 0 {
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cfgScale = config.CFGScale
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}
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b64JSON := input.ResponseFormat == "b64_json"
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tempDir := ""
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if !b64JSON {
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tempDir = filepath.Join(appConfig.GeneratedContentDir, "3d")
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if err := os.MkdirAll(tempDir, 0o750); err != nil {
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return err
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}
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}
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// Create a temporary file
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outputFile, err := os.CreateTemp(tempDir, "b64")
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if err != nil {
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return err
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}
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if err := outputFile.Close(); err != nil {
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_ = os.Remove(outputFile.Name())
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return err
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}
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output := outputFile.Name() + ".glb"
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// Rename the temporary file
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err = os.Rename(outputFile.Name(), output)
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if err != nil {
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_ = os.Remove(outputFile.Name())
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return err
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}
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preserveOutput := false
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defer func() {
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if !preserveOutput {
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_ = os.Remove(output)
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}
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}()
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baseURL := middleware.BaseURL(c)
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xlog.Debug("Model3DEndpoint: Calling Model3DGeneration",
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"quality", input.Quality,
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"background", input.Background,
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"cfg_scale", cfgScale,
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"step", step,
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"texture_steps", input.TextureSteps,
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"seed", input.Seed)
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fn, err := backend.Model3DGeneration(
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backend.Model3DGenerationOptions{
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Image: src,
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Destination: output,
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Seed: input.Seed,
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Step: step,
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CFGScale: cfgScale,
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TextureSteps: input.TextureSteps,
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Quality: input.Quality,
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Background: input.Background,
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Params: input.Params,
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},
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ml,
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*config,
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appConfig,
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)
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if err != nil {
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return mapBackendError(err)
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}
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if err := fn(); err != nil {
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return mapBackendError(err)
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}
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item := &schema.Item{}
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if b64JSON {
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data, err := os.ReadFile(output)
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if err != nil {
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return err
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}
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item.B64JSON = base64.StdEncoding.EncodeToString(data)
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} else {
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base := filepath.Base(output)
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item.URL, err = url.JoinPath(baseURL, "generated-3d", base)
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if err != nil {
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return err
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}
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preserveOutput = true
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}
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id := uuid.New().String()
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created := int(time.Now().Unix())
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resp := &schema.OpenAIResponse{
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ID: id,
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Created: created,
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Data: []schema.Item{*item},
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}
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jsonResult, _ := json.Marshal(resp)
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xlog.Debug("Response", "response", string(jsonResult))
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return c.JSON(200, resp)
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}
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}
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