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本帖最后由 qiuhuahua 于 2026-10-18 21:04 编辑
新模型出来,闲鱼入手激活码,支持一下作者
电脑配置普通,CPU AMD 5700X 内存 DDR4 3200 32G 显卡3060ti 8G
跑了一本片源 1080P 5M码率 大小4点几个G 时长120分,共耗时20小时。
1比10的比例自娱自乐还是能接受滴,关键是全默认设置效果OK
问题是现在电脑跑了Jasna完全干不了其他的,打开网页看看剧也会影响Jasna报错
08:08:42 PM ERROR Failed to process TEST1111.mp4: LTX inference failed in the protected worker: ProtectionError: LTX private load rejected: native block commit (core.py:177 <- core.py:218 <- protected_tensors.py:242)
Traceback (most recent call last):
File "E:\jasna-0.11.2\jasna\gui\processor.py", line 256, in _process_job
File "E:\jasna-0.11.2\jasna\gui\processor.py", line 342, in _run_pipeline
File "E:\jasna-0.11.2\jasna\gui\processor.py", line 435, in _run_video_job
File "E:\jasna-0.11.2\jasna\pipeline.py", line 606, in run
File "E:\jasna-0.11.2\jasna\pipeline.py", line 307, in _run_ltx
File "E:\jasna-0.11.2\jasna\ltx\restore.py", line 979, in restore_video
File "E:\jasna-0.11.2\jasna\ltx\restore.py", line 920, in restore_spans
File "E:\jasna-0.11.2\jasna\ltx\restore.py", line 938, in _restore_spans
File "E:\jasna-0.11.2\jasna\ltx\inference.py", line 129, in load_transformer
File "E:\jasna-0.11.2\jasna\ltx\inference.py", line 102, in request
File "E:\jasna-0.11.2\jasna\protection\ltx_worker.py", line 304, in request
File "E:\jasna-0.11.2\jasna\protection\ltx_worker.py", line 254, in _exchange
jasna.protection.ltx_worker.WorkerError: LTX inference failed in the protected worker: ProtectionError: LTX private load rejected: native block commit (core.py:177 <- core.py:218 <- protected_tensors.py:242)
08:13:06 PM ERROR Failed to process TEST1111.mp4: LTX inference failed in the protected worker: ProtectionError: LTX private load rejected: native block commit (core.py:177 <- core.py:218 <- protected_tensors.py:242)
Traceback (most recent call last):
File "E:\jasna-0.11.2\jasna\gui\processor.py", line 256, in _process_job
File "E:\jasna-0.11.2\jasna\gui\processor.py", line 342, in _run_pipeline
File "E:\jasna-0.11.2\jasna\gui\processor.py", line 435, in _run_video_job
File "E:\jasna-0.11.2\jasna\pipeline.py", line 606, in run
File "E:\jasna-0.11.2\jasna\pipeline.py", line 307, in _run_ltx
File "E:\jasna-0.11.2\jasna\ltx\restore.py", line 979, in restore_video
File "E:\jasna-0.11.2\jasna\ltx\restore.py", line 920, in restore_spans
File "E:\jasna-0.11.2\jasna\ltx\restore.py", line 938, in _restore_spans
File "E:\jasna-0.11.2\jasna\ltx\inference.py", line 129, in load_transformer
File "E:\jasna-0.11.2\jasna\ltx\inference.py", line 102, in request
File "E:\jasna-0.11.2\jasna\protection\ltx_worker.py", line 304, in request
File "E:\jasna-0.11.2\jasna\protection\ltx_worker.py", line 254, in _exchange
jasna.protection.ltx_worker.WorkerError: LTX inference failed in the protected worker: ProtectionError: LTX private load rejected: native block commit (core.py:177 <- core.py:218 <- protected_tensors.py:242)
大概率是显存内存太小了,但我觉得还有优化空间吧,使用高峰时内存占用20G,还有12G空闲。但愿作者能看到,谢谢
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