Add video generation API with job tracking and model loading

app/service.py

@@ -15,7 +15,7 @@ from ltx_pipelines.utils.args import ImageConditioningInput
 from PIL import Image
 
 from app.config import settings
-from app.database import JobDB, JobRecord, VALID_FRAME_COUNTS
+from app.database import JobDB, JobRecord
 
 logger = logging.getLogger(__name__)
 
@@ -36,6 +36,7 @@ class LtxService:
             lora_config = self._parse_lora_paths(settings.ltx_loras)
             quantization = self._build_quantization_policy()
 
+            q = settings.ltx_gemma_quantization or None
             self.pipeline = await asyncio.to_thread(
                 DistilledPipeline,
                 distilled_checkpoint_path=settings.ltx_distilled_checkpoint,
@@ -44,6 +45,7 @@ class LtxService:
                 loras=lora_config,
                 device=settings.ltx_device,
                 quantization=quantization,
+                gemma_quantization=q,
             )
             logger.info("Pipeline loaded successfully")
 
@@ -100,15 +102,6 @@ class LtxService:
         fps = request_params.get("fps", settings.default_fps)
         seed = request_params.get("seed")
 
-        if num_frames not in VALID_FRAME_COUNTS:
-            candidates = sorted(
-                f for f in VALID_FRAME_COUNTS if abs(f - num_frames) <= 8
-            )
-            raise ValueError(
-                f"num_frames must be 8n+1. Got {num_frames}. "
-                f"Closest valid: {candidates[:4]}"
-            )
-
         job = JobRecord(
             id=job_id,
             status="pending",