fix(rsplat): use concrete object classes for SAM 3D grounding
SAM 3D uses Grounding DINO which needs real noun classes, not abstract terms. Use broad multi-class prompt with very low threshold (0.05) to detect objects in any image type. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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@ -1035,7 +1035,7 @@ app.post("/api/3d-gen", async (c) => {
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Authorization: `Key ${FAL_KEY}`,
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"Content-Type": "application/json",
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},
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body: JSON.stringify({ image_url, prompt: "everything", detection_threshold: 0.2, export_textured_glb: true }),
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body: JSON.stringify({ image_url, prompt: "person . animal . object . furniture . vehicle . building", detection_threshold: 0.05, export_textured_glb: true }),
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signal: controller.signal,
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});
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clearTimeout(timeout);
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