I've been having an issue with image generation since yesterday. All images generated with Krea 2 come with a weird noise pattern. I've disabled all custom nodes and loras, but the issue persist even with the basic workflow. I've tried using regular fp8 over int8-convrot, but no luck. Attached are two examples:
** ComfyUI startup time: 2026-07-01 18:43:17.068
[2026-07-01 18:43:17.068] ** Platform: Linux
[2026-07-01 18:43:17.068] ** Python version: 3.14.6 (main, Jun 23 2026, 18:14:05) [GCC 16.1.1 20260430]
[2026-07-01 18:43:17.068] ** Python executable: /home/lucie/Bureau/ComfyUI/venv/bin/python
[2026-07-01 18:43:17.068] ** ComfyUI Path: /home/lucie/Bureau/ComfyUI
[2026-07-01 18:43:17.068] ** ComfyUI Base Folder Path: /home/lucie/Bureau/ComfyUI
[2026-07-01 18:43:17.068] ** User directory: /home/lucie/Bureau/ComfyUI/user
[2026-07-01 18:43:17.068] ** ComfyUI-Manager config path: /home/lucie/Bureau/ComfyUI/user/__manager/config.ini
[2026-07-01 18:43:17.068] ** Log path: /home/lucie/Bureau/ComfyUI/user/comfyui.log
[PRE] ComfyUI-Manager
[2026-07-01 18:43:19.347] Found comfy_kitchen backend eager: {'available': True, 'disabled': False, 'unavailable_reason': None, 'capabilities': ['adaln', 'apply_rope', 'apply_rope1', 'apply_rope_split_half', 'apply_rope_split_half1', 'dequantize_int8_convrot_weight', 'dequantize_int8_convrot_weight_dtype', 'dequantize_int8_simple', 'dequantize_int8_simple_dtype', 'dequantize_mxfp8', 'dequantize_nvfp4', 'dequantize_per_tensor_fp8', 'gemv_awq_w4a16', 'int8_linear', 'quantize_and_rotate_rowwise', 'quantize_int8_convrot_weight', 'quantize_int8_rowwise', 'quantize_int8_tensorwise', 'quantize_mxfp8', 'quantize_nvfp4', 'quantize_per_tensor_fp8', 'quantize_svdquant_w4a4', 'scaled_mm_mxfp8', 'scaled_mm_nvfp4', 'scaled_mm_svdquant_w4a4', 'stochastic_rounding_fp8']}
[2026-07-01 18:43:19.347] Found comfy_kitchen backend triton: {'available': True, 'disabled': True, 'unavailable_reason': None, 'capabilities': ['adaln', 'apply_rope', 'apply_rope1', 'apply_rope_split_half', 'apply_rope_split_half1', 'dequantize_nvfp4', 'dequantize_per_tensor_fp8', 'int8_linear', 'quantize_and_rotate_rowwise', 'quantize_int8_rowwise', 'quantize_mxfp8', 'quantize_nvfp4', 'quantize_per_tensor_fp8']}
[2026-07-01 18:43:19.347] Found comfy_kitchen backend cuda: {'available': True, 'disabled': False, 'unavailable_reason': None, 'capabilities': ['adaln', 'apply_rope', 'apply_rope1', 'apply_rope_split_half', 'apply_rope_split_half1', 'dequantize_int8_convrot_weight', 'dequantize_int8_convrot_weight_dtype', 'dequantize_int8_simple', 'dequantize_int8_simple_dtype', 'dequantize_nvfp4', 'dequantize_per_tensor_fp8', 'gemv_awq_w4a16', 'int8_linear', 'quantize_and_rotate_rowwise', 'quantize_int8_convrot_weight', 'quantize_int8_rowwise', 'quantize_int8_tensorwise', 'quantize_mxfp8', 'quantize_nvfp4', 'quantize_per_tensor_fp8', 'quantize_svdquant_w4a4', 'scaled_mm_nvfp4', 'scaled_mm_svdquant_w4a4', 'stochastic_rounding_fp8']}
[2026-07-01 18:43:19.352] Checkpoint files will always be loaded safely.
[2026-07-01 18:43:19.752] Total VRAM 24090 MB, total RAM 48070 MB
[2026-07-01 18:43:19.753] pytorch version: 2.12.1+cu132
[2026-07-01 18:43:19.753] Set vram state to: NORMAL_VRAM
[2026-07-01 18:43:19.753] Device: cuda:0 NVIDIA GeForce RTX 3090 : cudaMallocAsync
[2026-07-01 18:43:19.753] Using async weight offloading with 2 streams
[2026-07-01 18:43:19.753] Enabled pinned memory 43263.0
[2026-07-01 18:43:20.740] Using pytorch attention
[2026-07-01 18:43:22.564] DynamicVRAM support detected and enabled
[2026-07-01 18:43:22.564] Python version: 3.14.6 (main, Jun 23 2026, 18:14:05) [GCC 16.1.1 20260430]
[2026-07-01 18:43:22.564] ComfyUI version: 0.27.0
[2026-07-01 18:43:22.564] comfy-aimdo version: 0.4.10
[2026-07-01 18:43:22.565] comfy-kitchen version: 0.2.16
[2026-07-01 18:43:22.566] comfyui-frontend-package version: 1.45.20
[2026-07-01 18:43:22.566] comfyui-workflow-templates version: 0.11.1
[2026-07-01 18:43:22.566] comfyui-embedded-docs version: 0.5.6
[2026-07-01 18:43:22.566] comfy-kitchen version: 0.2.16
[2026-07-01 18:43:22.566] comfy-aimdo version: 0.4.10
[2026-07-01 18:43:22.567] [Prompt Server] web root: /home/lucie/Bureau/ComfyUI/venv/lib/python3.14/site-packages/comfyui_frontend_package/static
[2026-07-01 18:43:22.568] Asset seeder disabled
[2026-07-01 18:43:22.568] [START] ComfyUI-Manager
[2026-07-01 18:43:22.601] [ComfyUI-Manager] Using GitPython backend
[2026-07-01 18:43:22.636] [ComfyUI-Manager] network_mode: public
[2026-07-01 18:43:23.266] No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate'
[2026-07-01 18:43:24.171] Skipping loading of custom nodes
[2026-07-01 18:43:24.173] Context impl SQLiteImpl.
[2026-07-01 18:43:24.173] Will assume non-transactional DDL.
[2026-07-01 18:43:24.213] Using RAM pressure cache.
[2026-07-01 18:43:24.214] Starting server
[2026-07-01 18:43:24.214] To see the GUI go to: http://127.0.0.1:8188
[2026-07-01 18:44:14.112] got prompt
[2026-07-01 18:44:14.128] Using pytorch attention in VAE
[2026-07-01 18:44:14.129] Using pytorch attention in VAE
[2026-07-01 18:44:14.220] VAE load device: cuda:0, offload device: cpu, dtype: torch.bfloat16
[2026-07-01 18:44:14.580] CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cpu, dtype: torch.float16
[2026-07-01 18:44:14.583] Requested to load Krea2TEModel_
[2026-07-01 18:44:14.675] Model Krea2TEModel_ prepared for dynamic VRAM loading. 8463MB Staged. 0 patches attached. Force pre-loaded 249 weights: 627 KB.
[2026-07-01 18:44:19.139] Found quantization metadata version 1
[2026-07-01 18:44:19.139] Detected mixed precision quantization
[2026-07-01 18:44:19.139] Using mixed precision operations
[2026-07-01 18:44:19.139] Native ops: int8_tensorwise , emulated ops: nvfp4, float8_e5m2, float8_e4m3fn, mxfp8
[2026-07-01 18:44:19.152] model weight dtype torch.bfloat16, manual cast: torch.bfloat16
[2026-07-01 18:44:19.155] model_type FLUX
[2026-07-01 18:44:19.198] Requested to load Krea2
[2026-07-01 18:44:19.278] Model Krea2 prepared for dynamic VRAM loading. 12864MB Staged. 0 patches attached. Force pre-loaded 160 weights: 2824 KB.
[2026-07-01 18:45:07.856]
100%|█████████████████████████████████████████████████████████████████████████| 8/8 [00:44<00:00, 6.34s/it]
100%|█████████████████████████████████████████████████████████████████████████| 8/8 [00:44<00:00, 5.53s/it]
[2026-07-01 18:45:11.341] Requested to load WanVAE
[2026-07-01 18:45:11.344] 0 models unloaded.
[2026-07-01 18:45:11.361] Model WanVAE prepared for dynamic VRAM loading. 241MB Staged. 0 patches attached. Force pre-loaded 60 weights: 61 KB.
[2026-07-01 18:45:12.954] Prompt executed in 58.84 seconds
[2026-07-01 18:45:24.257] got prompt
[2026-07-01 18:45:24.376] Model Krea2TEModel_ prepared for dynamic VRAM loading. 8463MB Staged. 0 patches attached. Force pre-loaded 249 weights: 627 KB.
[2026-07-01 18:45:26.286] 0 models unloaded.
[2026-07-01 18:45:26.350] Model Krea2 prepared for dynamic VRAM loading. 12864MB Staged. 0 patches attached. Force pre-loaded 160 weights: 2824 KB.
[2026-07-01 18:45:31.951] FETCH ComfyRegistry Data [DONE]
[2026-07-01 18:45:32.144] [ComfyUI-Manager] default cache updated: https://api.comfy.org/nodes
[2026-07-01 18:45:32.161] FETCH DATA from: /home/lucie/Bureau/ComfyUI/user/__manager/cache/1514988643_custom-node-list.json [DONE]
[2026-07-01 18:45:32.202] [ComfyUI-Manager] All startup tasks have been completed.
[2026-07-01 18:46:15.053]
100%|█████████████████████████████████████████████████████████████████████████| 8/8 [00:44<00:00, 6.35s/it]
100%|█████████████████████████████████████████████████████████████████████████| 8/8 [00:44<00:00, 5.62s/it]
[2026-07-01 18:46:18.645] 0 models unloaded.
[2026-07-01 18:46:18.662] Model WanVAE prepared for dynamic VRAM loading. 241MB Staged. 0 patches attached. Force pre-loaded 60 weights: 61 KB.
[2026-07-01 18:46:19.995] Prompt executed in 55.74 seconds
[2026-07-01 18:47:25.344] got prompt
[2026-07-01 18:47:25.445] Model Krea2TEModel_ prepared for dynamic VRAM loading. 8463MB Staged. 0 patches attached. Force pre-loaded 249 weights: 627 KB.
[2026-07-01 18:47:28.637] 0 models unloaded.
[2026-07-01 18:47:28.690] Model Krea2 prepared for dynamic VRAM loading. 12864MB Staged. 0 patches attached. Force pre-loaded 160 weights: 2824 KB.
[2026-07-01 18:48:16.415]
100%|█████████████████████████████████████████████████████████████████████████| 8/8 [00:44<00:00, 6.51s/it]
100%|█████████████████████████████████████████████████████████████████████████| 8/8 [00:44<00:00, 5.51s/it]
[2026-07-01 18:48:19.868] 0 models unloaded.
[2026-07-01 18:48:19.886] Model WanVAE prepared for dynamic VRAM loading. 241MB Staged. 0 patches attached. Force pre-loaded 60 weights: 61 KB.
[2026-07-01 18:48:21.179] Prompt executed in 55.83 seconds
[2026-07-01 18:48:46.587] got prompt
[2026-07-01 18:48:46.668] Model Krea2 prepared for dynamic VRAM loading. 12864MB Staged. 0 patches attached. Force pre-loaded 160 weights: 2824 KB.
[2026-07-01 18:49:34.831]
100%|█████████████████████████████████████████████████████████████████████████| 8/8 [00:44<00:00, 6.44s/it]
100%|█████████████████████████████████████████████████████████████████████████| 8/8 [00:44<00:00, 5.58s/it]
[2026-07-01 18:49:38.268] 0 models unloaded.
[2026-07-01 18:49:38.284] Model WanVAE prepared for dynamic VRAM loading. 241MB Staged. 0 patches attached. Force pre-loaded 60 weights: 61 KB.
[2026-07-01 18:49:39.514] Prompt executed in 52.92 seconds
Custom Node Testing
Your question
I've been having an issue with image generation since yesterday. All images generated with Krea 2 come with a weird noise pattern. I've disabled all custom nodes and loras, but the issue persist even with the basic workflow. I've tried using regular fp8 over int8-convrot, but no luck. Attached are two examples:
Logs
Other
No response