I can not get the final mp4 when using multi gpus,but it works well when using single gpu
/workspace/huggingface/ComfyUI/.venv/bin/python /workspace/huggingface/ComfyUI/custom_nodes/ComfyUI-SeedVR2_VideoUpscaler/inference_cli.py /workspace/huggingface/ComfyUI/custom_nodes/ComfyUI-SeedVR2_VideoUpscaler/fisheys170.mp4 --output /workspace/huggingface/ComfyUI/output/fisheys170_frames_single --output_format png --cuda_device 0,1 --resolution 1280 --batch_size 5 --chunk_size 32 --temporal_overlap 2 --vae_encode_tiled --vae_decode_tiled --vae_encode_tile_size 512 --vae_decode_tile_size 512 --dit_offload_device cpu --vae_offload_device cpu --color_correction none --debug
📊 Initial CUDA memory: 36.61GB free / 39.38GB total
/workspace/huggingface/ComfyUI/.venv/lib/python3.10/site-packages/requests/init.py:113: RequestsDependencyWarning: urllib3 (2.6.3) or chardet (7.2.0)/charset_normalizer (3.4.6) doesn't match a supported version!
warnings.warn(
⚠️ SeedVR2 optimizations check: SageAttention ❌ | Flash Attention ❌ | Triton ✅
💡 Optional: pip install sageattention flash-attn
🔧 Conv3d workaround active: PyTorch 2.9.1, cuDNN 91002 (fixing VAE 3x memory bug)
flash_attn is installed but failed to import: No module named 'flash_attn.flash_attn_interface'. Falling back to native PyTorch attention.
███████╗███████╗███████╗██████╗ ██╗ ██╗██████╗ ██████╗ ███████╗
██╔════╝██╔════╝██╔════╝██╔══██╗██║ ██║██╔══██╗ ╚════██╗ ██╔════╝
███████╗█████╗ █████╗ ██║ ██║██║ ██║██████╔╝ █████╔╝ ███████╗
╚════██║██╔══╝ ██╔══╝ ██║ ██║╚██╗ ██╔╝██╔══██╗ ██╔═══╝ ╚════██║
███████║███████╗███████╗██████╔╝ ╚████╔╝ ██║ ██║ ███████╗ ██╗ ███████║
╚══════╝╚══════╝╚══════╝╚═════╝ ╚═══╝ ╚═╝ ╚═╝ ╚══════╝ ╚═╝ ╚══════╝
💻 CLI · v2.5.24 © ByteDance Seed · NumZ · AInVFX
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[08:00:49.873] ℹ️ OS: Ubuntu 24.04 | GPU: NVIDIA A100-PCIE-40GB (39GB)
[08:00:49.873] ℹ️ Python: 3.10.19 | PyTorch: 2.9.1+cu128 | FlashAttn: ✗ | SageAttn: ✗ | Triton: ✓
[08:00:49.873] ℹ️ CUDA: 12.8 | cuDNN: 91002
[08:00:49.873]
[08:00:49.873] 🔧 Arguments:
[08:00:49.873] input: /workspace/huggingface/ComfyUI/custom_nodes/ComfyUI-SeedVR2_VideoUpscaler/fisheys170.mp4
[08:00:49.873] output: /workspace/huggingface/ComfyUI/output/fisheys170_frames_single
[08:00:49.873] output_format: png
[08:00:49.873] video_backend: opencv
[08:00:49.873] use_10bit: False
[08:00:49.873] model_dir: None
[08:00:49.873] dit_model: seedvr2_ema_3b_fp8_e4m3fn.safetensors
[08:00:49.873] resolution: 1280
[08:00:49.873] max_resolution: 0
[08:00:49.873] batch_size: 5
[08:00:49.873] uniform_batch_size: False
[08:00:49.873] seed: 42
[08:00:49.873] skip_first_frames: 0
[08:00:49.873] load_cap: 0
[08:00:49.873] chunk_size: 32
[08:00:49.873] prepend_frames: 0
[08:00:49.873] temporal_overlap: 2
[08:00:49.873] color_correction: none
[08:00:49.873] input_noise_scale: 0.0
[08:00:49.873] latent_noise_scale: 0.0
[08:00:49.873] cuda_device: 0,1
[08:00:49.873] dit_offload_device: cpu
[08:00:49.873] vae_offload_device: cpu
[08:00:49.873] tensor_offload_device: cpu
[08:00:49.873] blocks_to_swap: 0
[08:00:49.873] swap_io_components: False
[08:00:49.873] vae_encode_tiled: True
[08:00:49.873] vae_encode_tile_size: 512
[08:00:49.873] vae_encode_tile_overlap: 128
[08:00:49.873] vae_decode_tiled: True
[08:00:49.873] vae_decode_tile_size: 512
[08:00:49.873] vae_decode_tile_overlap: 128
[08:00:49.873] tile_debug: false
[08:00:49.874] attention_mode: sdpa
[08:00:49.874] compile_dit: False
[08:00:49.874] compile_vae: False
[08:00:49.874] compile_backend: inductor
[08:00:49.874] compile_mode: default
[08:00:49.874] compile_fullgraph: False
[08:00:49.874] compile_dynamic: False
[08:00:49.874] compile_dynamo_cache_size_limit: 64
[08:00:49.874] compile_dynamo_recompile_limit: 128
[08:00:49.874] cache_dit: False
[08:00:49.874] cache_vae: False
[08:00:49.874] debug: True
[08:00:49.874] 🖥️ CUDA_VISIBLE_DEVICES: Not set (all)
[08:00:49.874] 🖥️ torch.cuda.device_count(): 4
[08:00:49.874] 🖥️ Using device index 0 inside script (mapped to selected GPU)
[08:00:49.874] 🖥️ Using devices: ['0', '1']
[08:00:49.874] 🔧 DiT model found: ./models/SEEDVR2/seedvr2_ema_3b_fp8_e4m3fn.safetensors
[08:00:49.874] 🔧 DiT model already validated (cache): ./models/SEEDVR2/seedvr2_ema_3b_fp8_e4m3fn.safetensors
[08:00:49.874] 🔧 VAE model found: ./models/SEEDVR2/ema_vae_fp16.safetensors
[08:00:49.874] 🔧 VAE model already validated (cache): ./models/SEEDVR2/ema_vae_fp16.safetensors
[08:00:49.875] 🎬 Processing video: fisheys170.mp4
[08:00:49.875] ℹ️ Requested output format: png
[08:00:49.891] ℹ️ Video info: 271 frames, 1280x720, 60.00 FPS
[08:00:49.891] ℹ️ Streaming mode: chunks of 32 frames, overlap=2
📊 Initial CUDA memory: 38.97GB free / 39.38GB total
📊 Initial CUDA memory: 36.14GB free / 39.38GB total
/workspace/huggingface/ComfyUI/.venv/lib/python3.10/site-packages/requests/init.py:113: RequestsDependencyWarning: urllib3 (2.6.3) or chardet (7.2.0)/charset_normalizer (3.4.6) doesn't match a supported version!
warnings.warn(
/workspace/huggingface/ComfyUI/.venv/lib/python3.10/site-packages/requests/init.py:113: RequestsDependencyWarning: urllib3 (2.6.3) or chardet (7.2.0)/charset_normalizer (3.4.6) doesn't match a supported version!
warnings.warn(
flash_attn is installed but failed to import: No module named 'flash_attn.flash_attn_interface'. Falling back to native PyTorch attention.
flash_attn is installed but failed to import: No module named 'flash_attn.flash_attn_interface'. Falling back to native PyTorch attention.
[08:00:57.694] 🎬 GPU 0: frames 0-138 (138 frames, chunks of 32)
[08:00:57.755] 🎬 GPU 1: frames 136-271 (135 frames, chunks of 32)
[08:00:58.020]
[08:00:58.020] 🎬 [GPU 0] Chunk 1/5: 32 new + 0 context frames
[08:00:58.020]
[08:00:58.047]
[08:00:58.047] 🎬 [GPU 1] Chunk 1/5: 32 new + 0 context frames
[08:00:58.047]
[08:00:58.056] 🔧 Generation context initialized: DiT=cuda:0, VAE=cuda:0, Offload=[DiT offload=cpu, VAE offload=cpu, Tensor offload=cpu], LOCAL_RANK=0
[08:00:58.056] 🎯 Unified compute dtype: torch.bfloat16 across entire pipeline for maximum performance
[08:00:58.056] 🏃 Configuring inference runner...
[08:00:58.056] 🏃 Creating new runner: DiT=seedvr2_ema_3b_fp8_e4m3fn.safetensors, VAE=ema_vae_fp16.safetensors
[08:00:58.091] 🔧 Generation context initialized: DiT=cuda:0, VAE=cuda:0, Offload=[DiT offload=cpu, VAE offload=cpu, Tensor offload=cpu], LOCAL_RANK=0
。。。。。
[08:10:47.342] ⚡ └─ VAE decode: 5.66s
[08:10:47.342] ⚡ └─ Decoded batch 8: 5.67s
[08:10:47.342] ⚡ └─ VAE decode: 5.66s
[08:10:47.342] ⚡ └─ VAE moved to CUDA:0: 0.08s
[08:10:47.342] ⚡ └─ VAE moved to CPU: 0.06s
[08:10:47.343] 📊 After phase 3 (VAE decoding):
[08:10:47.343] 📊 [VRAM] 0.01GB allocated / 7.72GB reserved / Peak: 5.60GB / 28.30GB free / 39.38GB total
[08:10:47.343] 📊 [RAM] 7.96GB process / 42.57GB others / 452.98GB free / 503.51GB total
[08:10:47.343] 📊 Memory changes: VRAM -0.47GB, RAM +0.01GB
[08:10:47.343] 📊 Resetting VRAM peak memory statistics
[08:10:47.343]
[08:10:47.343] ━━━━━━━━ Phase 4: Post-processing ━━━━━━━━
[08:10:47.343] 📹 Post-processing batch 1/4
[08:10:47.343] 🔄 Moving sample_1 from CPU to CUDA:0 (post-processing)
[08:10:47.351] 📹 Color correction disabled (set to none)
[08:10:47.352] 🔄 Moving sample_1_final from CUDA:0 to CPU (writing processed result to final_video)
[08:10:47.359] 📹 Post-processing batch 2/4
[08:10:47.359] 🔄 Moving sample_2 from CPU to CUDA:0 (post-processing)
[08:10:47.364] 📹 Color correction disabled (set to none)
[08:10:47.364] 🔄 Moving sample_2_final from CUDA:0 to CPU (writing processed result to final_video)
[08:10:47.369] 📹 Post-processing batch 3/4
[08:10:47.369] 🔄 Moving sample_3 from CPU to CUDA:0 (post-processing)
[08:10:47.374] 📹 Color correction disabled (set to none)
[08:10:47.374] 🔄 Moving sample_3_final from CUDA:0 to CPU (writing processed result to final_video)
[08:10:47.380] 📹 Post-processing batch 4/4
[08:10:47.380] 🔄 Moving sample_4 from CPU to CUDA:0 (post-processing)
[08:10:47.382] 📹 Color correction disabled (set to none)
[08:10:47.382] 🔄 Moving sample_4_final from CUDA:0 to CPU (writing processed result to final_video)
[08:10:47.384] 🎬 Output assembled: 12 frames (20 computed with 2 padding + 6 overlap removed), Resolution: 2274x1280px, Channels: RGB
[08:10:47.384] ⚡ Phase 4: Post-processing complete: 0.04s
[08:10:47.384] ⚡ └─ Post-processed batch 1: 0.02s
[08:10:47.384] ⚡ └─ Post-processed batch 8: 0.01s
[08:10:47.384] ⚡ └─ Post-processed batch 5: 0.01s
[08:10:47.384] ⚡ └─ Post-processed batch 6: 0.01s
[08:10:47.384] ⚡ └─ Post-processed batch 7: 0.01s
[08:10:47.384] ⚡ └─ Post-processed batch 10: 0.01s
[08:10:47.384] ⚡ └─ Post-processed batch 9: 0.01s
[08:10:47.384] ⚡ └─ Post-processed batch 3: 0.01s
[08:10:47.385] 📊 After phase 4 (Post-processing):
[08:10:47.385] 📊 [VRAM] 0.01GB allocated / 7.72GB reserved / Peak: 0.09GB / 28.30GB free / 39.38GB total
[08:10:47.385] 📊 [RAM] 7.96GB process / 42.56GB others / 452.98GB free / 503.51GB total
[08:10:47.385] 📊 Resetting VRAM peak memory statistics
[08:10:47.419] 🧹 Clearing memory caches (deep)...
Then it gets nothing
I can not get the final mp4 when using multi gpus,but it works well when using single gpu
⚠️ SeedVR2 optimizations check: SageAttention ❌ | Flash Attention ❌ | Triton ✅
/workspace/huggingface/ComfyUI/.venv/bin/python /workspace/huggingface/ComfyUI/custom_nodes/ComfyUI-SeedVR2_VideoUpscaler/inference_cli.py /workspace/huggingface/ComfyUI/custom_nodes/ComfyUI-SeedVR2_VideoUpscaler/fisheys170.mp4 --output /workspace/huggingface/ComfyUI/output/fisheys170_frames_single --output_format png --cuda_device 0,1 --resolution 1280 --batch_size 5 --chunk_size 32 --temporal_overlap 2 --vae_encode_tiled --vae_decode_tiled --vae_encode_tile_size 512 --vae_decode_tile_size 512 --dit_offload_device cpu --vae_offload_device cpu --color_correction none --debug
📊 Initial CUDA memory: 36.61GB free / 39.38GB total
/workspace/huggingface/ComfyUI/.venv/lib/python3.10/site-packages/requests/init.py:113: RequestsDependencyWarning: urllib3 (2.6.3) or chardet (7.2.0)/charset_normalizer (3.4.6) doesn't match a supported version!
warnings.warn(
💡 Optional: pip install sageattention flash-attn
🔧 Conv3d workaround active: PyTorch 2.9.1, cuDNN 91002 (fixing VAE 3x memory bug)
flash_attn is installed but failed to import: No module named 'flash_attn.flash_attn_interface'. Falling back to native PyTorch attention.
███████╗███████╗███████╗██████╗ ██╗ ██╗██████╗ ██████╗ ███████╗
██╔════╝██╔════╝██╔════╝██╔══██╗██║ ██║██╔══██╗ ╚════██╗ ██╔════╝
███████╗█████╗ █████╗ ██║ ██║██║ ██║██████╔╝ █████╔╝ ███████╗
╚════██║██╔══╝ ██╔══╝ ██║ ██║╚██╗ ██╔╝██╔══██╗ ██╔═══╝ ╚════██║
███████║███████╗███████╗██████╔╝ ╚████╔╝ ██║ ██║ ███████╗ ██╗ ███████║
╚══════╝╚══════╝╚══════╝╚═════╝ ╚═══╝ ╚═╝ ╚═╝ ╚══════╝ ╚═╝ ╚══════╝
💻 CLI · v2.5.24 © ByteDance Seed · NumZ · AInVFX
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[08:00:49.873] ℹ️ OS: Ubuntu 24.04 | GPU: NVIDIA A100-PCIE-40GB (39GB)
[08:00:49.873] ℹ️ Python: 3.10.19 | PyTorch: 2.9.1+cu128 | FlashAttn: ✗ | SageAttn: ✗ | Triton: ✓
[08:00:49.873] ℹ️ CUDA: 12.8 | cuDNN: 91002
[08:00:49.873]
[08:00:49.873] 🔧 Arguments:
[08:00:49.873] input: /workspace/huggingface/ComfyUI/custom_nodes/ComfyUI-SeedVR2_VideoUpscaler/fisheys170.mp4
[08:00:49.873] output: /workspace/huggingface/ComfyUI/output/fisheys170_frames_single
[08:00:49.873] output_format: png
[08:00:49.873] video_backend: opencv
[08:00:49.873] use_10bit: False
[08:00:49.873] model_dir: None
[08:00:49.873] dit_model: seedvr2_ema_3b_fp8_e4m3fn.safetensors
[08:00:49.873] resolution: 1280
[08:00:49.873] max_resolution: 0
[08:00:49.873] batch_size: 5
[08:00:49.873] uniform_batch_size: False
[08:00:49.873] seed: 42
[08:00:49.873] skip_first_frames: 0
[08:00:49.873] load_cap: 0
[08:00:49.873] chunk_size: 32
[08:00:49.873] prepend_frames: 0
[08:00:49.873] temporal_overlap: 2
[08:00:49.873] color_correction: none
[08:00:49.873] input_noise_scale: 0.0
[08:00:49.873] latent_noise_scale: 0.0
[08:00:49.873] cuda_device: 0,1
[08:00:49.873] dit_offload_device: cpu
[08:00:49.873] vae_offload_device: cpu
[08:00:49.873] tensor_offload_device: cpu
[08:00:49.873] blocks_to_swap: 0
[08:00:49.873] swap_io_components: False
[08:00:49.873] vae_encode_tiled: True
[08:00:49.873] vae_encode_tile_size: 512
[08:00:49.873] vae_encode_tile_overlap: 128
[08:00:49.873] vae_decode_tiled: True
[08:00:49.873] vae_decode_tile_size: 512
[08:00:49.873] vae_decode_tile_overlap: 128
[08:00:49.873] tile_debug: false
[08:00:49.874] attention_mode: sdpa
[08:00:49.874] compile_dit: False
[08:00:49.874] compile_vae: False
[08:00:49.874] compile_backend: inductor
[08:00:49.874] compile_mode: default
[08:00:49.874] compile_fullgraph: False
[08:00:49.874] compile_dynamic: False
[08:00:49.874] compile_dynamo_cache_size_limit: 64
[08:00:49.874] compile_dynamo_recompile_limit: 128
[08:00:49.874] cache_dit: False
[08:00:49.874] cache_vae: False
[08:00:49.874] debug: True
[08:00:49.874] 🖥️ CUDA_VISIBLE_DEVICES: Not set (all)
[08:00:49.874] 🖥️ torch.cuda.device_count(): 4
[08:00:49.874] 🖥️ Using device index 0 inside script (mapped to selected GPU)
[08:00:49.874] 🖥️ Using devices: ['0', '1']
[08:00:49.874] 🔧 DiT model found: ./models/SEEDVR2/seedvr2_ema_3b_fp8_e4m3fn.safetensors
[08:00:49.874] 🔧 DiT model already validated (cache): ./models/SEEDVR2/seedvr2_ema_3b_fp8_e4m3fn.safetensors
[08:00:49.874] 🔧 VAE model found: ./models/SEEDVR2/ema_vae_fp16.safetensors
[08:00:49.874] 🔧 VAE model already validated (cache): ./models/SEEDVR2/ema_vae_fp16.safetensors
[08:00:49.875] 🎬 Processing video: fisheys170.mp4
[08:00:49.875] ℹ️ Requested output format: png
[08:00:49.891] ℹ️ Video info: 271 frames, 1280x720, 60.00 FPS
[08:00:49.891] ℹ️ Streaming mode: chunks of 32 frames, overlap=2
📊 Initial CUDA memory: 38.97GB free / 39.38GB total
📊 Initial CUDA memory: 36.14GB free / 39.38GB total
/workspace/huggingface/ComfyUI/.venv/lib/python3.10/site-packages/requests/init.py:113: RequestsDependencyWarning: urllib3 (2.6.3) or chardet (7.2.0)/charset_normalizer (3.4.6) doesn't match a supported version!
warnings.warn(
/workspace/huggingface/ComfyUI/.venv/lib/python3.10/site-packages/requests/init.py:113: RequestsDependencyWarning: urllib3 (2.6.3) or chardet (7.2.0)/charset_normalizer (3.4.6) doesn't match a supported version!
warnings.warn(
flash_attn is installed but failed to import: No module named 'flash_attn.flash_attn_interface'. Falling back to native PyTorch attention.
flash_attn is installed but failed to import: No module named 'flash_attn.flash_attn_interface'. Falling back to native PyTorch attention.
[08:00:57.694] 🎬 GPU 0: frames 0-138 (138 frames, chunks of 32)
[08:00:57.755] 🎬 GPU 1: frames 136-271 (135 frames, chunks of 32)
[08:00:58.020]
[08:00:58.020] 🎬 [GPU 0] Chunk 1/5: 32 new + 0 context frames
[08:00:58.020]
[08:00:58.047]
[08:00:58.047] 🎬 [GPU 1] Chunk 1/5: 32 new + 0 context frames
[08:00:58.047]
[08:00:58.056] 🔧 Generation context initialized: DiT=cuda:0, VAE=cuda:0, Offload=[DiT offload=cpu, VAE offload=cpu, Tensor offload=cpu], LOCAL_RANK=0
[08:00:58.056] 🎯 Unified compute dtype: torch.bfloat16 across entire pipeline for maximum performance
[08:00:58.056] 🏃 Configuring inference runner...
[08:00:58.056] 🏃 Creating new runner: DiT=seedvr2_ema_3b_fp8_e4m3fn.safetensors, VAE=ema_vae_fp16.safetensors
[08:00:58.091] 🔧 Generation context initialized: DiT=cuda:0, VAE=cuda:0, Offload=[DiT offload=cpu, VAE offload=cpu, Tensor offload=cpu], LOCAL_RANK=0
。。。。。
[08:10:47.342] ⚡ └─ VAE decode: 5.66s
[08:10:47.342] ⚡ └─ Decoded batch 8: 5.67s
[08:10:47.342] ⚡ └─ VAE decode: 5.66s
[08:10:47.342] ⚡ └─ VAE moved to CUDA:0: 0.08s
[08:10:47.342] ⚡ └─ VAE moved to CPU: 0.06s
[08:10:47.343] 📊 After phase 3 (VAE decoding):
[08:10:47.343] 📊 [VRAM] 0.01GB allocated / 7.72GB reserved / Peak: 5.60GB / 28.30GB free / 39.38GB total
[08:10:47.343] 📊 [RAM] 7.96GB process / 42.57GB others / 452.98GB free / 503.51GB total
[08:10:47.343] 📊 Memory changes: VRAM -0.47GB, RAM +0.01GB
[08:10:47.343] 📊 Resetting VRAM peak memory statistics
[08:10:47.343]
[08:10:47.343] ━━━━━━━━ Phase 4: Post-processing ━━━━━━━━
[08:10:47.343] 📹 Post-processing batch 1/4
[08:10:47.343] 🔄 Moving sample_1 from CPU to CUDA:0 (post-processing)
[08:10:47.351] 📹 Color correction disabled (set to none)
[08:10:47.352] 🔄 Moving sample_1_final from CUDA:0 to CPU (writing processed result to final_video)
[08:10:47.359] 📹 Post-processing batch 2/4
[08:10:47.359] 🔄 Moving sample_2 from CPU to CUDA:0 (post-processing)
[08:10:47.364] 📹 Color correction disabled (set to none)
[08:10:47.364] 🔄 Moving sample_2_final from CUDA:0 to CPU (writing processed result to final_video)
[08:10:47.369] 📹 Post-processing batch 3/4
[08:10:47.369] 🔄 Moving sample_3 from CPU to CUDA:0 (post-processing)
[08:10:47.374] 📹 Color correction disabled (set to none)
[08:10:47.374] 🔄 Moving sample_3_final from CUDA:0 to CPU (writing processed result to final_video)
[08:10:47.380] 📹 Post-processing batch 4/4
[08:10:47.380] 🔄 Moving sample_4 from CPU to CUDA:0 (post-processing)
[08:10:47.382] 📹 Color correction disabled (set to none)
[08:10:47.382] 🔄 Moving sample_4_final from CUDA:0 to CPU (writing processed result to final_video)
[08:10:47.384] 🎬 Output assembled: 12 frames (20 computed with 2 padding + 6 overlap removed), Resolution: 2274x1280px, Channels: RGB
[08:10:47.384] ⚡ Phase 4: Post-processing complete: 0.04s
[08:10:47.384] ⚡ └─ Post-processed batch 1: 0.02s
[08:10:47.384] ⚡ └─ Post-processed batch 8: 0.01s
[08:10:47.384] ⚡ └─ Post-processed batch 5: 0.01s
[08:10:47.384] ⚡ └─ Post-processed batch 6: 0.01s
[08:10:47.384] ⚡ └─ Post-processed batch 7: 0.01s
[08:10:47.384] ⚡ └─ Post-processed batch 10: 0.01s
[08:10:47.384] ⚡ └─ Post-processed batch 9: 0.01s
[08:10:47.384] ⚡ └─ Post-processed batch 3: 0.01s
[08:10:47.385] 📊 After phase 4 (Post-processing):
[08:10:47.385] 📊 [VRAM] 0.01GB allocated / 7.72GB reserved / Peak: 0.09GB / 28.30GB free / 39.38GB total
[08:10:47.385] 📊 [RAM] 7.96GB process / 42.56GB others / 452.98GB free / 503.51GB total
[08:10:47.385] 📊 Resetting VRAM peak memory statistics
[08:10:47.419] 🧹 Clearing memory caches (deep)...
Then it gets nothing