[Bug]: custom preset fails about fooocus HOT 2 CLOSED

C:\AI\Fooocus\python_embeded\python.exe C:\AI\Fooocus\Fooocus\entry_with_update.py 
Update failed.
'refs/remotes/origin/main_upstream'
Update succeeded.
[System ARGV] ['C:\\AI\\Fooocus\\Fooocus\\entry_with_update.py', '--disable-analytics', '--listen', '--always-download-new-model', '--language', 'en']
Python 3.10.9 (tags/v3.10.9:1dd9be6, Dec  6 2022, 20:01:21) [MSC v.1934 64 bit (AMD64)]
Fooocus version: 2.5.2
[Cleanup] Attempting to delete content of temp dir C:\Users\manue\AppData\Local\Temp\fooocus
[Cleanup] Cleanup successful
Total VRAM 10240 MB, total RAM 32693 MB
xformers version: 0.0.23
Set vram state to: NORMAL_VRAM
Always offload VRAM
Device: cuda:0 NVIDIA GeForce RTX 3080 : native
VAE dtype: torch.bfloat16
Using xformers cross attention
Refiner unloaded.
Running on local URL:  http://0.0.0.0:7865
model_type EPS
UNet ADM Dimension 2816

To create a public link, set `share=True` in `launch()`.
Using xformers attention in VAE
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
Using xformers attention in VAE
extra {'cond_stage_model.clip_l.text_projection', 'cond_stage_model.clip_l.logit_scale'}
left over keys: dict_keys(['cond_stage_model.clip_l.transformer.text_model.embeddings.position_ids'])
Base model loaded: C:\AI\Fooocus\Fooocus\models\checkpoints\juggernautXL_v8Rundiffusion.safetensors
VAE loaded: None
Request to load LoRAs [('sd_xl_offset_example-lora_1.0.safetensors', 0.1)] for model [C:\AI\Fooocus\Fooocus\models\checkpoints\juggernautXL_v8Rundiffusion.safetensors].
Loaded LoRA [C:\AI\Fooocus\Fooocus\models\loras\sd_xl_offset_example-lora_1.0.safetensors] for UNet [C:\AI\Fooocus\Fooocus\models\checkpoints\juggernautXL_v8Rundiffusion.safetensors] with 788 keys at weight 0.1.
Fooocus V2 Expansion: Vocab with 642 words.
C:\AI\Fooocus\python_embeded\lib\site-packages\torch\_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
  return self.fget.__get__(instance, owner)()
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 0.67 seconds
Started worker with PID 13040
App started successful. Use the app with http://localhost:7865/ or 0.0.0.0:7865
Loaded preset: C:\AI\Fooocus\Fooocus\presets\turbo_custom.json
[Parameters] Adaptive CFG = 7
[Parameters] CLIP Skip = 2
[Parameters] Sharpness = 3
[Parameters] ControlNet Softness = 0.25
[Parameters] ADM Scale = 1.5 : 0.8 : 0.3
[Parameters] Seed = 5965757955318332010
[Parameters] CFG = 2
[Fooocus] Loading control models ...
[Parameters] Sampler = dpmpp_sde - karras
[Parameters] Steps = 8 - 15
[Fooocus] Initializing ...
[Fooocus] Loading models ...
Refiner unloaded.
model_type EPS
UNet ADM Dimension 2816
Using xformers attention in VAE
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
Using xformers attention in VAE
extra {'cond_stage_model.clip_l.text_projection', 'cond_stage_model.clip_l.logit_scale'}
left over keys: dict_keys(['conditioner.embedders.0.logit_scale', 'conditioner.embedders.0.text_projection'])
Base model loaded: C:\AI\Fooocus\Fooocus\models\checkpoints\DreamShaperXL_Turbo_v2_1.safetensors
VAE loaded: None
Request to load LoRAs [] for model [C:\AI\Fooocus\Fooocus\models\checkpoints\DreamShaperXL_Turbo_v2_1.safetensors].
Requested to load SDXLClipModel
Loading 1 new model
[Fooocus Model Management] Moving model(s) has taken 0.73 seconds
[Fooocus] Processing prompts ...
[Fooocus] Encoding positive #1 ...
[Fooocus] Encoding negative #1 ...
[Parameters] Denoising Strength = 1.0
[Parameters] Initial Latent shape: Image Space (1024, 1024)
Preparation time: 8.64 seconds
Using karras scheduler.
[Fooocus] Preparing task 1/1 ...
[Sampler] refiner_swap_method = joint
[Sampler] sigma_min = 0.0291671771556139, sigma_max = 14.614643096923828
Requested to load SDXL
Loading 1 new model
[Fooocus Model Management] Moving model(s) has taken 1.19 seconds
100%|██████████| 8/8 [00:06<00:00,  1.29it/s]
Requested to load AutoencoderKL
Loading 1 new model
[Fooocus Model Management] Moving model(s) has taken 1.64 seconds
[Fooocus] Saving image 1/1 to system ...
Image generated with private log at: C:\AI\Fooocus\Fooocus\outputs\2024-07-29\log.html
Generating and saving time: 10.25 seconds
[Enhance] Skipping, preconditions aren't met
Processing time (total): 10.25 seconds
Requested to load SDXLClipModel
Requested to load GPT2LMHeadModel
Loading 2 new models
Total time: 18.93 seconds
[Fooocus Model Management] Moving model(s) has taken 0.40 seconds

[Fooocus Model Management] Moving model(s) has taken 0.67 seconds
Started worker with PID 6888
App started successful. Use the app with http://localhost:7865/ or 0.0.0.0:7865
Loaded preset: C:\AI\Fooocus\Fooocus\presets\turbo_custom.json
Downloading: "https://huggingface.co/Lykon/dreamshaper-xl-v2-turbo/resolve/main/DreamShaperXL_Turbo_v2_1.safetensors" to C:\AI\Fooocus\Fooocus\models\checkpoints\DreamShaperXL_Turbo_v2_1.safetensors

100%|██████████| 6.46G/6.46G [01:16<00:00, 91.3MB/s]
[Parameters] Adaptive CFG = 7
[Parameters] CLIP Skip = 2
[Parameters] Sharpness = 3
[Parameters] ControlNet Softness = 0.25
[Parameters] ADM Scale = 1.5 : 0.8 : 0.3
[Parameters] Seed = 2207798739955052681
[Parameters] CFG = 2
[Fooocus] Loading control models ...
[Parameters] Sampler = dpmpp_sde - karras
[Parameters] Steps = 8 - 15
[Fooocus] Initializing ...
[Fooocus] Loading models ...
Refiner unloaded.
model_type EPS
UNet ADM Dimension 2816
Using xformers attention in VAE
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
Using xformers attention in VAE
extra {'cond_stage_model.clip_l.logit_scale', 'cond_stage_model.clip_l.text_projection'}
left over keys: dict_keys(['conditioner.embedders.0.logit_scale', 'conditioner.embedders.0.text_projection'])
Base model loaded: C:\AI\Fooocus\Fooocus\models\checkpoints\DreamShaperXL_Turbo_v2_1.safetensors
VAE loaded: None
Request to load LoRAs [] for model [C:\AI\Fooocus\Fooocus\models\checkpoints\DreamShaperXL_Turbo_v2_1.safetensors].
Requested to load SDXLClipModel
Loading 1 new model
[Fooocus Model Management] Moving model(s) has taken 1.75 seconds
[Fooocus] Processing prompts ...
[Fooocus] Encoding positive #1 ...
[Fooocus] Encoding negative #1 ...
[Parameters] Denoising Strength = 1.0
[Parameters] Initial Latent shape: Image Space (1024, 1024)
Preparation time: 11.29 seconds
Using karras scheduler.
[Fooocus] Preparing task 1/1 ...
[Sampler] refiner_swap_method = joint
[Sampler] sigma_min = 0.0291671771556139, sigma_max = 14.614643096923828
Requested to load SDXL
Loading 1 new model
[Fooocus Model Management] Moving model(s) has taken 2.25 seconds
100%|██████████| 8/8 [00:05<00:00,  1.36it/s]
Requested to load AutoencoderKL
Loading 1 new model
[Fooocus Model Management] Moving model(s) has taken 1.63 seconds
[Fooocus] Saving image 1/1 to system ...
[Cache] Calculating sha256 for C:\AI\Fooocus\Fooocus\models\checkpoints\DreamShaperXL_Turbo_v2_1.safetensors
[Cache] sha256 for C:\AI\Fooocus\Fooocus\models\checkpoints\DreamShaperXL_Turbo_v2_1.safetensors: 4496b36d48
Image generated with private log at: C:\AI\Fooocus\Fooocus\outputs\2024-07-29\log.html
Generating and saving time: 16.15 seconds
[Enhance] Skipping, preconditions aren't met
Processing time (total): 16.15 seconds
Requested to load SDXLClipModel
Requested to load GPT2LMHeadModel
Loading 2 new models
Total time: 27.46 seconds
[Fooocus Model Management] Moving model(s) has taken 0.59 seconds