Buckets:
| [32m[INFO][0m setup plugin alembic.autogenerate.schemas | |
| [32m[INFO][0m setup plugin alembic.autogenerate.tables | |
| [32m[INFO][0m setup plugin alembic.autogenerate.types | |
| [32m[INFO][0m setup plugin alembic.autogenerate.constraints | |
| [32m[INFO][0m setup plugin alembic.autogenerate.defaults | |
| [32m[INFO][0m setup plugin alembic.autogenerate.comments | |
| [32m[INFO][0m setup plugin alembic.ext.checkconstraint_byname | |
| [32m[INFO][0m Adding extra search path diffusion_models /marimo/Qwen-Image-2.1/diffusion_models | |
| [32m[INFO][0m Adding extra search path text_encoders /marimo/Qwen-Image-2.1/text_encoders | |
| [32m[INFO][0m Adding extra search path vae /marimo/Qwen-Image-2.1/vae | |
| [32m[INFO][0m Setting output directory to: /marimo/comfyui-output | |
| [32m[INFO][0m Found comfy_kitchen backend eager: {'available': True, 'disabled': False, 'unavailable_reason': None, 'capabilities': ['adaln', 'apply_rope', 'apply_rope1', 'apply_rope1_', 'apply_rope_', 'apply_rope_split_half', 'apply_rope_split_half1', 'apply_rope_split_half1_', 'apply_rope_split_half_', 'convrot_w4a4_linear', 'dequantize_convrot_w4a4_weight', 'dequantize_int8_convrot_weight', 'dequantize_int8_convrot_weight_dtype', 'dequantize_int8_embedding', 'dequantize_int8_simple', 'dequantize_int8_simple_dtype', 'dequantize_mxfp8', 'dequantize_nvfp4', 'dequantize_per_tensor_fp8', 'dequantize_w4a8_int8_weight', 'fp16_conv3d', 'fp16_linear', 'gemv_awq_w4a16', 'group_norm_silu_pad3d', 'int8_linear', 'na3d', 'prepare_int4_weight_for_int8_linear', 'quantize_and_rotate_rowwise', 'quantize_convrot_w4a4_weight', 'quantize_int8_convrot_weight', 'quantize_int8_rowwise', 'quantize_int8_tensorwise', 'quantize_mxfp8', 'quantize_nvfp4', 'quantize_per_tensor_fp8', 'quantize_svdquant_w4a4', 'quantize_w4a8_int8_weight', 'rms_adaln', 'rms_rope', 'rms_rope1', 'rms_rope1_', 'rms_rope_', 'rms_rope_split_half', 'rms_rope_split_half1', 'rms_rope_split_half1_', 'rms_rope_split_half_', 'rotate_int8_convrot_weight', 'scaled_mm_mxfp8', 'scaled_mm_nvfp4', 'scaled_mm_svdquant_w4a4', 'sol_attn', 'stochastic_rounding_fp8', 'w4a8_int8_linear']} | |
| [32m[INFO][0m Found comfy_kitchen backend cuda: {'available': True, 'disabled': False, 'unavailable_reason': None, 'capabilities': ['adaln', 'apply_rope', 'apply_rope1', 'apply_rope1_', 'apply_rope_', 'apply_rope_split_half', 'apply_rope_split_half1', 'apply_rope_split_half1_', 'apply_rope_split_half_', 'convrot_w4a4_linear', 'dequantize_convrot_w4a4_weight', 'dequantize_int8_convrot_weight', 'dequantize_int8_convrot_weight_dtype', 'dequantize_int8_simple', 'dequantize_int8_simple_dtype', 'dequantize_nvfp4', 'dequantize_per_tensor_fp8', 'dequantize_w4a8_int8_weight', 'fp16_conv3d', 'fp16_linear', 'gemv_awq_w4a16', 'group_norm_silu_pad3d', 'int8_linear', 'na3d', 'prepare_int4_weight_for_int8_linear', 'quantize_and_rotate_rowwise', 'quantize_convrot_w4a4_weight', 'quantize_int8_convrot_weight', 'quantize_int8_rowwise', 'quantize_int8_tensorwise', 'quantize_mxfp8', 'quantize_nvfp4', 'quantize_per_tensor_fp8', 'quantize_svdquant_w4a4', 'quantize_w4a8_int8_weight', 'rms_adaln', 'rms_rope', 'rms_rope1', 'rms_rope1_', 'rms_rope_', 'rms_rope_split_half', 'rms_rope_split_half1', 'rms_rope_split_half1_', 'rms_rope_split_half_', 'rotate_int8_convrot_weight', 'scaled_mm_nvfp4', 'scaled_mm_svdquant_w4a4', 'sol_attn', 'stochastic_rounding_fp8', 'w4a8_int8_linear']} | |
| [32m[INFO][0m Found comfy_kitchen backend triton: {'available': True, 'disabled': True, 'unavailable_reason': None, 'capabilities': ['adaln', 'apply_rope', 'apply_rope1', 'apply_rope1_', 'apply_rope_', 'apply_rope_split_half', 'apply_rope_split_half1', 'apply_rope_split_half1_', 'apply_rope_split_half_', 'dequantize_nvfp4', 'dequantize_per_tensor_fp8', 'int8_linear', 'na3d', 'quantize_and_rotate_rowwise', 'quantize_int8_rowwise', 'quantize_mxfp8', 'quantize_nvfp4', 'quantize_per_tensor_fp8', 'rms_adaln', 'rms_rope', 'rms_rope1', 'rms_rope1_', 'rms_rope_', 'rms_rope_split_half', 'rms_rope_split_half1', 'rms_rope_split_half1_', 'rms_rope_split_half_', 'w4a8_int8_linear']} | |
| [32m[INFO][0m Found comfy_kitchen backend hip: {'available': False, 'disabled': False, 'unavailable_reason': 'PyTorch ROCm/HIP runtime not available', 'capabilities': []} | |
| [32m[INFO][0m Checkpoint files will always be loaded safely. | |
| [32m[INFO][0m Total VRAM 97252 MB, total RAM 163840 MB | |
| [32m[INFO][0m pytorch version: 2.11.0+cu130 | |
| [32m[INFO][0m Set vram state to: NORMAL_VRAM | |
| [32m[INFO][0m Device: cuda:0 NVIDIA RTX PRO 6000 Blackwell Server Edition : cudaMallocAsync | |
| [32m[INFO][0m Using async weight offloading with 2 streams | |
| [32m[INFO][0m Enabled pinned memory 147456.0 | |
| [32m[INFO][0m Using pytorch attention | |
| [32m[INFO][0m aimdo: /project/src/control.c:283:INFO:comfy-aimdo inited for GPU: NVIDIA RTX PRO 6000 Blackwell Server Edition (VRAM: 97251 MB) | |
| [32m[INFO][0m DynamicVRAM support detected and enabled | |
| [32m[INFO][0m Python version: 3.13.11 (main, Feb 3 2026, 03:08:54) [GCC 14.2.0] | |
| [32m[INFO][0m ComfyUI version: 0.36.0 | |
| [32m[INFO][0m comfy-aimdo version: 0.5.5 | |
| [32m[INFO][0m comfy-kitchen version: 0.2.35 | |
| [32m[INFO][0m comfyui-frontend-package version: 1.53.6 | |
| [32m[INFO][0m comfyui-workflow-templates version: 0.11.66 | |
| [32m[INFO][0m comfyui-embedded-docs version: 0.5.12 | |
| [32m[INFO][0m comfy-kitchen version: 0.2.35 | |
| [32m[INFO][0m comfy-aimdo version: 0.5.5 | |
| [32m[INFO][0m [Prompt Server] web root: /usr/local/lib/python3.13/site-packages/comfyui_frontend_package/static | |
| [32m[INFO][0m Asset seeder disabled | |
| [32m[INFO][0m No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' | |
| [32m[INFO][0m | |
| Import times for custom nodes: | |
| [32m[INFO][0m 0.0 seconds: /marimo/ComfyUI/custom_nodes/websocket_image_save.py | |
| [32m[INFO][0m | |
| [1m[31m[ERROR][0m Database is locked. Another ComfyUI process is already using this database. | |
| To resolve this, specify a separate database file for this instance: | |
| --database-url sqlite:///path/to/another.db | |
| [32m[INFO][0m Using RAM pressure cache. | |
| [32m[INFO][0m Starting server | |
| [32m[INFO][0m To see the GUI go to: http://127.0.0.1:8190 | |
| [32m[INFO][0m got prompt | |
| [32m[INFO][0m Model storage policy: fast_disk=False paths=['/tmp/krea2-turbo/vae/krea2_vae_fp32.safetensors'] | |
| [32m[INFO][0m Using pytorch attention in VAE | |
| [32m[INFO][0m Using pytorch attention in VAE | |
| [32m[INFO][0m VAE load device: cuda:0, offload device: cpu, dtype: torch.float32 | |
| [32m[INFO][0m Model storage policy: fast_disk=False paths=['/tmp/krea2-turbo/Comfy-Org/text_encoders/qwen3vl_4b_bf16.safetensors'] | |
| [32m[INFO][0m CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cpu, dtype: torch.float32 | |
| [32m[INFO][0m Requested to load Krea2TEModel_ | |
| [32m[INFO][0m Model Krea2TEModel_ prepared for dynamic VRAM loading. 8463MB Staged. 0 patches attached. Force pre-loaded 249 weights: 627 KB. | |
| [32m[INFO][0m model weight dtype torch.float32, manual cast: None | |
| [32m[INFO][0m model_type FLUX | |
| [32m[INFO][0m Model storage policy: fast_disk=False paths=['/tmp/krea2-turbo/Comfy-Org/diffusion_models/krea2_turbo_bf16.safetensors'] | |
| [32m[INFO][0m Requested to load Krea2 | |
| [32m[INFO][0m Model Krea2 prepared for dynamic VRAM loading. 48899MB Staged. 0 patches attached. Force pre-loaded 160 weights: 5609 KB. | |
| 0%| | 0/8 [00:00<?, ?it/s] 0%| | 0/8 [00:00<?, ?it/s, Model Initializing ... ] 0%| | 0/8 [00:25<?, ?it/s, Model Initialization complete! ] 12%|█▎ | 1/8 [00:25<02:55, 25.13s/it, Model Initialization complete! ] 12%|█▎ | 1/8 [00:01<02:55, 25.13s/it] 25%|██▌ | 2/8 [00:01<00:03, 1.79it/s] 38%|███▊ | 3/8 [00:03<00:10, 2.13s/it] 50%|█████ | 4/8 [00:05<00:08, 2.13s/it] 62%|██████▎ | 5/8 [00:07<00:06, 2.13s/it] 75%|███████▌ | 6/8 [00:09<00:04, 2.13s/it] 88%|████████▊ | 7/8 [00:11<00:02, 2.13s/it] 100%|██████████| 8/8 [00:13<00:00, 2.12s/it] 100%|██████████| 8/8 [00:13<00:00, 1.73s/it] | |
| [32m[INFO][0m Requested to load WanVAE | |
| [32m[INFO][0m Model WanVAE prepared for dynamic VRAM loading. 484MB Staged. 0 patches attached. Force pre-loaded 56 weights: 61 KB. | |
| [32m[INFO][0m [32mPrompt executed in 54.53 seconds[0m | |
Xet Storage Details
- Size:
- 8.32 kB
- Xet hash:
- a0d3b2bed0be576602404a0ea9f7c928fbd0e651a821ae9e516e3fced932a1ab
·
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