Segmentation fault but with more than 40GB swap available.

[Giger22]

Read Troubleshoot

[x] I admit that I have read the Troubleshoot before making this issue.

Describe the problem I have 48GB swap but still got this error. I have tried using --always-cpu flag and I haven't got this error. I only get the error when I use GPU (AMD 5700XT 8GB) without chaning swap.

Full Console Log

1. Using command (fooocus_env) artix:[artix]:~/Applications/fooocus$ python entry_with_update.py

Already up-to-date Update succeeded. [System ARGV] ['entry_with_update.py', '--always-gpu'] Python 3.11.6 (main, Nov 14 2023, 18:04:26) [GCC 13.2.1 20230801] Fooocus version: 2.1.859 Running on local URL: http://127.0.0.1:7865

To create a public link, set share=True in launch(). Total VRAM 8176 MB, total RAM 15913 MB Set vram state to: HIGH_VRAM Always offload VRAM /home/artix/Applications/fooocus/fooocus_env/lib/python3.11/site-packages/torch/cuda/init.py:611: UserWarning: Can't initialize NVML warnings.warn("Can't initialize NVML") Device: cuda:0 AMD Radeon RX 5700 XT : native VAE dtype: torch.float32 Using sub quadratic optimization for cross attention, if you have memory or speed issues try using: --attention-split Refiner unloaded. Segmentation fault

Already up-to-date Update succeeded. [System ARGV] ['entry_with_update.py'] Python 3.11.6 (main, Nov 14 2023, 18:04:26) [GCC 13.2.1 20230801] Fooocus version: 2.1.859 Running on local URL: http://127.0.0.1:7865

To create a public link, set share=True in launch(). Total VRAM 8176 MB, total RAM 15913 MB Set vram state to: NORMAL_VRAM Always offload VRAM /home/artix/Applications/fooocus/fooocus_env/lib/python3.11/site-packages/torch/cuda/init.py:611: UserWarning: Can't initialize NVML warnings.warn("Can't initialize NVML") Device: cuda:0 AMD Radeon RX 5700 XT : native VAE dtype: torch.float32 Using sub quadratic optimization for cross attention, if you have memory or speed issues try using: --attention-split Refiner unloaded. model_type EPS UNet ADM Dimension 2816 Using split attention in VAE Working with z of shape (1, 4, 32, 32) = 4096 dimensions. Using split attention in VAE extra {'cond_stage_model.clip_g.transformer.text_model.embeddings.position_ids', 'cond_stage_model.clip_l.text_projection', 'cond_stage_model.clip_l.logit_scale'} Base model loaded: /home/artix/Applications/fooocus/models/checkpoints/juggernautXL_version6Rundiffusion.safetensors Request to load LoRAs [['sd_xl_offset_example-lora_1.0.safetensors', 0.1], ['None', 1.0], ['None', 1.0], ['None', 1.0], ['None', 1.0]] for model [/home/artix/Applications/fooocus/models/checkpoints/juggernautXL_version6Rundiffusion.safetensors]. Loaded LoRA [/home/artix/Applications/fooocus/models/loras/sd_xl_offset_example-lora_1.0.safetensors] for UNet [/home/artix/Applications/fooocus/models/checkpoints/juggernautXL_version6Rundiffusion.safetensors] with 788 keys at weight 0.1. Fooocus V2 Expansion: Vocab with 642 words. Fooocus Expansion engine loaded for cuda:0, use_fp16 = True. Requested to load SDXLClipModel Requested to load GPT2LMHeadModel Loading 2 new models [Fooocus Model Management] Moving model(s) has taken 0.85 seconds App started successful. Use the app with http://127.0.0.1:7865/ or 127.0.0.1:7865 Enter LCM mode. [Fooocus] Downloading LCM components ... [Parameters] Adaptive CFG = 1.0 [Parameters] Sharpness = 0.0 [Parameters] ADM Scale = 1.0 : 1.0 : 0.0 [Parameters] CFG = 1.0 [Parameters] Seed = 1708197939703660366 [Parameters] Sampler = lcm - lcm [Parameters] Steps = 8 - 8 [Fooocus] Initializing ... [Fooocus] Loading models ... Refiner unloaded. Request to load LoRAs [['sd_xl_offset_example-lora_1.0.safetensors', 0.1], ['None', 1.0], ['None', 1.0], ['None', 1.0], ['None', 1.0], ('sdxl_lcm_lora.safetensors', 1.0)] for model [/home/artix/Applications/fooocus/models/checkpoints/juggernautXL_version6Rundiffusion.safetensors]. Loaded LoRA [/home/artix/Applications/fooocus/models/loras/sd_xl_offset_example-lora_1.0.safetensors] for UNet [/home/artix/Applications/fooocus/models/checkpoints/juggernautXL_version6Rundiffusion.safetensors] with 788 keys at weight 0.1. Loaded LoRA [/home/artix/Applications/fooocus/models/loras/sdxl_lcm_lora.safetensors] for UNet [/home/artix/Applications/fooocus/models/checkpoints/juggernautXL_version6Rundiffusion.safetensors] with 788 keys at weight 1.0. Requested to load SDXLClipModel Loading 1 new model unload clone 1 [Fooocus Model Management] Moving model(s) has taken 0.76 seconds [Fooocus] Processing prompts ... [Fooocus] Preparing Fooocus text #1 ... Segmentation fault

So I got a one warning and a segmentation fault. /home/artix/Applications/fooocus/fooocus_env/lib/python3.11/site-packages/torch/cuda/init.py:611: UserWarning: Can't initialize NVML warnings.warn("Can't initialize NVML") Segmentation fault

2. Using command: (fooocus_env) artix:[artix]:~/Applications/fooocus$ python entry_with_update.py --always-gpu Already up-to-date Update succeeded. [System ARGV] ['entry_with_update.py', '--always-gpu'] Python 3.11.6 (main, Nov 14 2023, 18:04:26) [GCC 13.2.1 20230801] Fooocus version: 2.1.859 Running on local URL: http://127.0.0.1:7865

To create a public link, set share=True in launch(). Total VRAM 8176 MB, total RAM 15913 MB Set vram state to: HIGH_VRAM Always offload VRAM /home/artix/Applications/fooocus/fooocus_env/lib/python3.11/site-packages/torch/cuda/init.py:611: UserWarning: Can't initialize NVML warnings.warn("Can't initialize NVML") Device: cuda:0 AMD Radeon RX 5700 XT : native VAE dtype: torch.float32 Using sub quadratic optimization for cross attention, if you have memory or speed issues try using: --attention-split Refiner unloaded. Segmentation fault

So using --always-gpu I also get a warning: -warnings.warn("Can't initialize NVML") and "Segmentation fault".

[mashb1t]

Thank you for the well structured report. Can you please try running Fooocus without any flags on your machine, so without --always-gpu and check if this still occurs? This would be appreciated.

[Giger22]

I have already provided this log. It is a first log and only a second log was a result with running the command with a --always-gpu flag.

[mashb1t]

ah ok, i was confused as it also mentions

[System ARGV] ['entry_with_update.py', '--always-gpu']

but the other log is below

[OEvgeny]

I saw similar error on 7800XT, I had to set HSA_OVERRIDE_GFX_VERSION variable to run with ROCm 5.7 and also update linux kernel to 6.6.x.

Based on the thread, you should be using HSA_OVERRIDE_GFX_VERSION=10.3.0 python entry_with_update.py as pointed here: https://github.com/comfyanonymous/ComfyUI/discussions/1119