Since the last update there’s a problem with downloading, extracting and loading models.
2025-08-17 19-26-52.231 Thread: 34480 Info FF Process Output: 18
2025-08-17 19:26:52 43940 INFO: PARAM DEVICE: 0
:AIINFO: Downloading Model rxl-v1-fgnet-fp32-288x288-4x-rt1200-10800-rt.tz
2025-08-17 19-26-53.593 Thread: 34480 Info FF Process Output: 18
2025-08-17 19:26:53 43940 INFO: RESULT for https://veai-models.topazlabs.com/rxl-v1-fgnet-fp32-288x288-4x-rt1200-10800-rt.tz
2025-08-17 19-26-53.593 Thread: 34480 Info FF Process Output: 18 is 200
2025-08-17 19-26-54.921 Thread: 34480 Info FF Process Output: 18
2025-08-17 19:26:54 43940 INFO: Compressed Buffer for rxl-v1-fgnet-fp32-288x288-4x-rt1200-10800-rt.tz verified
2025-08-17 19:26:54 43940 INFO: putting fetched file into: D:\Topaz Labs LLC\Topaz Video AI\models\
:AIINFO: Model Downloaded
2025-08-17 19-26-55.472 Thread: 34480 Info FF Process Output: 18
2025-08-17 19:26:55 43940 INFO: Created temporary file at “rxl-v1-fgnet-fp32-288x288-4x-rt1200-10800-rt.tz” with 104071616 bytes
2025-08-17 19-26-55.481 Thread: 34480 Info FF Process Output: 18
:AIINFO: Loading Model
2025-08-17 19:26:55 43940 INFO: ModelBackend loading from file
2025-08-17 19:26:55 43940 INFO: CACHING MAY NOT WORK"D:\Topaz Labs LLC\Topaz Video AI\models\rxl-v1-fgnet-fp32-288x288-4x-rt1200-10800-rt.tz"
2025-08-17 19:26:55 43940 INFO: Reading model file duration: 0.17 ms
2025-08-17 19-26-55.491 Thread: 34480 Info FF Process Output: 18
2025-08-17 19:26:55 43940 INFO: TRT loading model from rxl-v1-fgnet-fp32-288x288-4x.trt 121526444
2025-08-17 19:26:55 43940 CRITICAL: TRT Issue ERRORIRuntime::deserializeCudaEngine: Error Code 1: Serialization (Serialization assertion stdVersionRead == kSERIALIZATION_VERSION failed.Version tag does not match. Note: Current Version: 94, Serialized Engine Version: 239)
2025-08-17 19:26:55 43940 CRITICAL: Can’t deserialize CUDA engine
2025-08-17 19:26:55 43940 CRITICAL: Loading default error reading file: D:\Topaz Labs LLC\Topaz Video AI\models/rxl-v1-fgnet-fp32-288x288-4x-rt1200-10800-rt.tz
:AIERROR: Model Failed
2025-08-17 19:26:55 43940 CRITICAL: Unable to create or load model of type tensorrt from path: rxl-v1-fgnet-fp32-288x288-4x-rt1200-10800-rt.tz
2025-08-17 19:26:55 43940 CRITICAL: BackendRunner cannot be initialized for model: rxl-v1-fgnet-fp32-288x288-4x-rt1200-10800-rt.tz
2025-08-17 19:26:55 43940 WARNING: Failed to load model rxl-v1-fgnet-fp32-288x288-4x-rt1200-10800-rt.tzfgnet-fp32-[H]x[W]-4x-rt[C]-[R]-rt.tz[“out”]
2025-08-17 19:26:55 43940 INFO: Blocks total: 1 N 18 Blocks count 18
2025-08-17 19:26:55 43940 INFO: Checking block sizes 1956x1056 penalty 0.05 overlap 48
2025-08-17 19:26:55 43940 INFO: Make backend 12 input size 1956x1056 block 384x576 onnx16 device 0 memory 1
2025-08-17 19:26:55 43940 INFO: Computing device instances
2025-08-17 19:26:55 43940 INFO: Apple 0 DEVICES 0
2025-08-17 19:26:55 43940 INFO: DEVICE INFO 1
2025-08-17 19:26:55 43940 INFO: Creating model name rhea instance 000002326007BEB0
2025-08-17 19:26:55 43940 INFO: NETS [“fgnet-fp16-[H]x[W]-4x-ox.tz”] OUTPUTS [“out”]
2025-08-17 19:26:55 43940 INFO: COMPUTED FILE NAME fgnet-fp16-[H]x[W]-4x-ox.tz rxl-v1-fgnet-fp16-576x384-4x-ox.tz
2025-08-17 19:26:55 43940 INFO: Locating local model: “D:\Topaz Labs LLC\Topaz Video AI\models\/rxl-v1-fgnet-fp16-576x384-4x-ox.tz” status:
2025-08-17 19-26-55.492 Thread: 34480 Info FF Process Output: 18 1
2025-08-17 19:26:55 43940 INFO: CACHING MAY NOT WORK"D:\Topaz Labs LLC\Topaz Video AI\models\rxl-v1-fgnet-fp16-576x384-4x-ox.tz"
2025-08-17 19-26-56.844 Thread: 34480 Info FF Process Output: 18
2025-08-17 19:26:56 43940 INFO: Loading filename rxl-v1-fgnet-fp16-576x384-4x-ox.tz fgnet-fp16-[H]x[W]-4x-ox.tz [“out”]
2025-08-17 19-26-56.844 Thread: 34480 Info FF Process Output: 18
2025-08-17 19:26:56 43940 INFO: Total Devices: 1
2025-08-17 19:26:56 43940 INFO: DEVICE DETAILS: 0 INSTANCES 2
2025-08-17 19:26:56 43940 INFO: PARAM DEVICE: 0
:AIINFO: Loading Model
The errors repeat randomly up to 20 times before actually loading the model.
Please solve this, I usually batch 20 clips at the same time, and it’s now taking forever.