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Browse files- ltx2_4k_experiments/one_refiner_4096x2304/inputs/audio/audio_00.wav +3 -0
- ltx2_4k_experiments/one_refiner_4096x2304/inputs/audio/audio_01.wav +3 -0
- ltx2_4k_experiments/one_refiner_4096x2304/inputs/audio/audio_02.wav +3 -0
- ltx2_4k_experiments/one_refiner_4096x2304/inputs/audio/audio_03.wav +3 -0
- ltx2_4k_experiments/one_refiner_4096x2304/inputs/audio/audio_04.wav +3 -0
- ltx2_4k_experiments/one_refiner_4096x2304/inputs/audio/audio_05.wav +3 -0
- ltx2_4k_experiments/one_refiner_4096x2304/inputs/audio/audio_06.wav +3 -0
- ltx2_4k_experiments/one_refiner_4096x2304/inputs/audio/audio_07.wav +3 -0
- ltx2_4k_experiments/one_refiner_4096x2304/inputs/images/input_00.png +3 -0
- ltx2_4k_experiments/one_refiner_4096x2304/inputs/images/input_01.png +3 -0
- ltx2_4k_experiments/one_refiner_4096x2304/inputs/images/input_02.png +3 -0
- ltx2_4k_experiments/one_refiner_4096x2304/inputs/images/input_03.png +3 -0
- ltx2_4k_experiments/one_refiner_4096x2304/inputs/images/input_04.png +3 -0
- ltx2_4k_experiments/one_refiner_4096x2304/inputs/images/input_05.png +3 -0
- ltx2_4k_experiments/one_refiner_4096x2304/inputs/images/input_06.png +3 -0
- ltx2_4k_experiments/one_refiner_4096x2304/inputs/images/input_07.png +3 -0
- ltx2_4k_experiments/one_refiner_4096x2304/inputs/inputs_manifest.json +50 -0
- ltx2_4k_experiments/one_refiner_4096x2304/logs/ti2vid_two_stages_00.log +5 -0
- ltx2_4k_experiments/one_refiner_4096x2304/metrics/dit_metrics.jsonl +2 -0
- ltx2_4k_experiments/one_refiner_4096x2304/runs_manifest.jsonl +1 -0
- ltx2_4k_experiments/one_refiner_4096x2304/ti2vid_two_stages/ti2vid_two_stages_00.mp4 +3 -0
ltx2_4k_experiments/one_refiner_4096x2304/inputs/audio/audio_00.wav
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ltx2_4k_experiments/one_refiner_4096x2304/inputs/images/input_01.png
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ltx2_4k_experiments/one_refiner_4096x2304/inputs/images/input_05.png
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ltx2_4k_experiments/one_refiner_4096x2304/inputs/images/input_06.png
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ltx2_4k_experiments/one_refiner_4096x2304/inputs/images/input_07.png
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ltx2_4k_experiments/one_refiner_4096x2304/inputs/inputs_manifest.json
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"audio": "outputs/ltx2_repro_4k_one_refiner_4096x2304/inputs/audio/audio_04.wav"
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"audio": "outputs/ltx2_repro_4k_one_refiner_4096x2304/inputs/audio/audio_05.wav"
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},
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"index": 6,
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"audio": "outputs/ltx2_repro_4k_one_refiner_4096x2304/inputs/audio/audio_06.wav"
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},
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"index": 7,
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"image": "outputs/ltx2_repro_4k_one_refiner_4096x2304/inputs/images/input_07.png",
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"audio": "outputs/ltx2_repro_4k_one_refiner_4096x2304/inputs/audio/audio_07.wav"
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}
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]
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ltx2_4k_experiments/one_refiner_4096x2304/logs/ti2vid_two_stages_00.log
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<frozen runpy>:128: RuntimeWarning: 'ltx_pipelines.ti2vid_two_stages' found in sys.modules after import of package 'ltx_pipelines', but prior to execution of 'ltx_pipelines.ti2vid_two_stages'; this may result in unpredictable behaviour
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Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.
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ltx2_4k_experiments/one_refiner_4096x2304/metrics/dit_metrics.jsonl
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{"pipeline": "ti2vid_two_stages", "run_id": "ti2vid_two_stages_00", "stage": "stage_1_generate", "elapsed_seconds": 1419.067502622027, "dit_fps": 0.08526726161822953, "denoising_steps": 30, "width": 2048, "height": 1152, "frames": 121, "frame_rate": 24.0, "video_present": true, "audio_present": true, "loop": "euler_denoising_loop"}
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{"pipeline": "ti2vid_two_stages", "run_id": "ti2vid_two_stages_00", "stage": "stage_2_refine", "elapsed_seconds": 336.48722817597445, "dit_fps": 0.3595976009428804, "denoising_steps": 3, "width": 4096, "height": 2304, "frames": 121, "frame_rate": 24.0, "video_present": true, "audio_present": true, "loop": "euler_denoising_loop"}
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ltx2_4k_experiments/one_refiner_4096x2304/runs_manifest.jsonl
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{"pipeline": "ti2vid_two_stages", "run_id": "ti2vid_two_stages_00", "index": 0, "status": "success", "returncode": 0, "started_unix": 1779370039.4169116, "wall_seconds": 1955.27288747899, "output_path": "outputs/ltx2_repro_4k_one_refiner_4096x2304/ti2vid_two_stages/ti2vid_two_stages_00.mp4", "log_path": "outputs/ltx2_repro_4k_one_refiner_4096x2304/logs/ti2vid_two_stages_00.log", "command": ["/lustre/fsw/portfolios/nvr/users/shyang/miniconda3/envs/ltx2_repro/bin/python", "-m", "ltx_pipelines.ti2vid_two_stages", "--checkpoint-path", "/lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/ltx2/models/ltx2/LTX-2.3/ltx-2.3-22b-dev.safetensors", "--gemma-root", "/lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/ltx2/models/ltx2/gemma-3-12b-it-qat-q4_0-unquantized", "--prompt", "A close-up tabletop shot of a glass marble rolling across a brushed metal surface, tiny reflections shifting as it passes under soft studio lights.", "--output-path", "/lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/ltx2/outputs/ltx2_repro_4k_one_refiner_4096x2304/ti2vid_two_stages/ti2vid_two_stages_00.mp4", "--height", "2304", "--width", "4096", "--num-frames", "121", "--frame-rate", "24", "--num-inference-steps", "30", "--distilled-lora", "/lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/ltx2/models/ltx2/LTX-2.3/ltx-2.3-22b-distilled-lora-384-1.1.safetensors", "0.8", "--spatial-upsampler-path", "/lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/ltx2/models/ltx2/LTX-2.3/ltx-2.3-spatial-upscaler-x2-1.1.safetensors", "--offload", "cpu", "--max-batch-size", "1"], "control": {"prompt": "A close-up tabletop shot of a glass marble rolling across a brushed metal surface, tiny reflections shifting as it passes under soft studio lights."}, "settings": {"height": 2304, "width": 4096, "num_frames": 121, "frame_rate": 24, "num_inference_steps": 30, "quantization": "none", "offload": "cpu"}}
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ltx2_4k_experiments/one_refiner_4096x2304/ti2vid_two_stages/ti2vid_two_stages_00.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:c22cf31d1096ff43d2fac0996b079ad1c082abea7581f89f3c2cd3532a3c96a4
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size 6548682
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