lora / SCOPE_fastvideo /logs /example_0_scope_30step.log
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$ /lustre/fsw/portfolios/nvr/users/shyang/miniconda3/envs/diffusion-pipe/bin/python /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/inference.py --model_dir /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE --input_image /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/examples/example_0/image.png --action_path /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/SCOPE/examples/example_0/action.parquet --prompt 'In a whimsical, toy-inspired garden, the first-person view reveals a tactical weapon aimed forward along a sunlit path. The vibrant environment includes oversized flowers, colorful building blocks, and towering structures. In the foreground, a carved wooden sign reads ROSE GARDEN, accompanied by giant puzzle pieces scattered across the ground. The surroundings are filled with fairy lights hanging from trees, creating a warm, golden glow. The garden looks like a miniature diorama, set in a charming and playful atmosphere.' --output_dir /lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/outputs/scope_fastvideo/full/runs/example_0/scope_30step --height 480 --width 832 --max_frames 81 --num_inference_steps 30 --seed 0 --fps 20 --dmd_denoising_steps 1000,757,522 --comparison_mode
/lustre/fsw/portfolios/nvr/users/shyang/miniconda3/envs/diffusion-pipe/lib/python3.12/site-packages/torch/cuda/__init__.py:61: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
import pynvml # type: ignore[import]
Loading models from: "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/models_t5_umt5-xxl-enc-bf16.pth"
Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
Loaded model: {
"model_name": "wan_video_text_encoder",
"model_class": "diffsynth.models.wan_video_text_encoder.WanTextEncoder",
"extra_kwargs": null
}
Loading models from: "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/Wan2.2_VAE.pth"
Detected non-safetensors files, which may cause slower loading. It's recommended to convert it to a safetensors file.
Loaded model: {
"model_name": "wan_video_vae",
"model_class": "diffsynth.models.wan_video_vae.WanVideoVAE38",
"extra_kwargs": null
}
Using wan_video_text_encoder from "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/models_t5_umt5-xxl-enc-bf16.pth".
No wan_video_dit models available. This is not an error.
Using wan_video_vae from "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/shyang/FastVideo_LoRA/models/SCOPE/Wan2.2_VAE.pth".
No wan_video_image_encoder models available. This is not an error.
No wan_video_motion_controller models available. This is not an error.
No wan_video_vace models available. This is not an error.
No wan_video_vap models available. This is not an error.
No wans2v_audio_encoder models available. This is not an error.
No wan_video_animate_adapter models available. This is not an error.
VAE encoding: 0%| | 0/1 [00:00<?, ?it/s] VAE encoding: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1/1 [00:02<00:00, 2.55s/it] VAE encoding: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1/1 [00:02<00:00, 2.55s/it]
0%| | 0/30 [00:00<?, ?it/s] 3%|β–Ž | 1/30 [00:01<00:40, 1.39s/it] 7%|β–‹ | 2/30 [00:02<00:30, 1.08s/it] 10%|β–ˆ | 3/30 [00:03<00:26, 1.01it/s] 13%|β–ˆβ–Ž | 4/30 [00:03<00:24, 1.06it/s] 17%|β–ˆβ–‹ | 5/30 [00:04<00:22, 1.09it/s] 20%|β–ˆβ–ˆ | 6/30 [00:05<00:21, 1.11it/s] 23%|β–ˆβ–ˆβ–Ž | 7/30 [00:06<00:20, 1.12it/s] 27%|β–ˆβ–ˆβ–‹ | 8/30 [00:07<00:19, 1.13it/s] 30%|β–ˆβ–ˆβ–ˆ | 9/30 [00:08<00:18, 1.14it/s] 33%|β–ˆβ–ˆβ–ˆβ–Ž | 10/30 [00:09<00:17, 1.14it/s] 37%|β–ˆβ–ˆβ–ˆβ–‹ | 11/30 [00:10<00:16, 1.14it/s] 40%|β–ˆβ–ˆβ–ˆβ–ˆ | 12/30 [00:10<00:15, 1.14it/s] 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 13/30 [00:11<00:14, 1.14it/s] 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 14/30 [00:12<00:13, 1.14it/s] 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 15/30 [00:13<00:13, 1.14it/s] 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 16/30 [00:14<00:12, 1.14it/s] 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 17/30 [00:15<00:11, 1.14it/s] 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 18/30 [00:16<00:10, 1.14it/s] 63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 19/30 [00:17<00:09, 1.14it/s] 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 20/30 [00:17<00:08, 1.14it/s] 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 21/30 [00:18<00:07, 1.14it/s] 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 22/30 [00:19<00:06, 1.14it/s] 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 23/30 [00:20<00:06, 1.14it/s] 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 24/30 [00:21<00:05, 1.14it/s] 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 25/30 [00:22<00:04, 1.14it/s] 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 26/30 [00:23<00:03, 1.14it/s] 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 27/30 [00:24<00:02, 1.14it/s] 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 28/30 [00:24<00:01, 1.14it/s] 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 29/30 [00:25<00:00, 1.14it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 30/30 [00:26<00:00, 1.14it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 30/30 [00:26<00:00, 1.12it/s]
VAE decoding: 0%| | 0/1 [00:00<?, ?it/s] VAE decoding: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1/1 [00:02<00:00, 2.48s/it] VAE decoding: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1/1 [00:02<00:00, 2.48s/it]
Saving video: 0%| | 0/81 [00:00<?, ?it/s] Saving video: 1%| | 1/81 [00:00<00:30, 2.62it/s] Saving video: 85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 69/81 [00:00<00:00, 187.13it/s] Saving video: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 81/81 [00:00<00:00, 153.02it/s]