For each model tester

[barepixels]

Trying for the first time, got error

Requested to load SDXLClipModel
Requested to load GPT2LMHeadModel
Loading 2 new models
[Fooocus Model Management] Moving model(s) has taken 1.00 seconds
Total time: 42.06 seconds
use_experimental_async_task_batch: True
enable_test_loras_mode: False
enable_test_base_model_mode: True
enable_test_refiner_model_mode: False
Traceback (most recent call last):
File "E:\Fooocus-MindOfMatter-Edition\Fooocus-MindOfMatter-Edition\modules\exp_async_worker.py", line 921, in worker
handler(task)
File "E:\Fooocus-MindOfMatter-Edition\python_embeded\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "E:\Fooocus-MindOfMatter-Edition\python_embeded\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "E:\Fooocus-MindOfMatter-Edition\Fooocus-MindOfMatter-Edition\modules\exp_async_worker.py", line 163, in handler
loras = [[str(args.pop()), float(args.pop()), bool(args.pop())] for _ in range(modules.config.default_loras_max_number)]
AttributeError: module 'modules.config' has no attribute 'default_loras_max_number'
Total time: 0.03 seconds

[barepixels]

try dev version

E:\Fooocus-MindOfMatter-Edition-DEV>.\python_embeded\python.exe -s .\Fooocus\entry_with_update.py --preset $presetrnpause
Already up-to-date
Update succeeded.
[System ARGV] ['.\Fooocus\entry_with_update.py', '--preset', '$presetrnpause']
Python 3.10.9 (tags/v3.10.9:1dd9be6, Dec 6 2022, 20:01:21) [MSC v.1934 64 bit (AMD64)]
Fooocus version: 2.1.865
Load preset [E:\Fooocus-MindOfMatter-Edition-DEV\Fooocus\presets$presetrnpause.json] failed

Running on local URL: http://127.0.0.1:7865

To create a public link, set share=True in launch().
Total VRAM 24575 MB, total RAM 32705 MB
Set vram state to: NORMAL_VRAM
Always offload VRAM
Device: cuda:0 NVIDIA GeForce RTX 3090 : native
VAE dtype: torch.bfloat16
Using pytorch cross attention
Refiner unloaded.
model_type EPS
UNet ADM Dimension 2816
Using pytorch attention in VAE
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
Using pytorch attention in VAE
extra {'cond_stage_model.clip_l.logit_scale', 'cond_stage_model.clip_l.text_projection', 'cond_stage_model.clip_g.transformer.text_model.embeddings.position_ids'}
Base model loaded: E:\Fooocus-MindOfMatter-Edition-DEV\Fooocus\models\checkpoints\juggernautXL_v8Rundiffusion.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 [E:\Fooocus-MindOfMatter-Edition-DEV\Fooocus\models\checkpoints\juggernautXL_v8Rundiffusion.safetensors].
Loaded LoRA [E:\Fooocus-MindOfMatter-Edition-DEV\Fooocus\models\loras\sd_xl_offset_example-lora_1.0.safetensors] for UNet [E:\Fooocus-MindOfMatter-Edition-DEV\Fooocus\models\checkpoints\juggernautXL_v8Rundiffusion.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 0.73 seconds
App started successful. Use the app with http://127.0.0.1:7865/ or 127.0.0.1:7865
App started successful. Use the app with http://127.0.0.1:7865/ or 127.0.0.1:7865
use_experimental_async_task_batch: True
enable_test_loras_mode: False
enable_test_base_model_mode: True
enable_test_refiner_model_mode: False
Traceback (most recent call last):
File "E:\Fooocus-MindOfMatter-Edition-DEV\Fooocus\modules\exp_async_worker.py", line 921, in worker
handler(task)
File "E:\Fooocus-MindOfMatter-Edition-DEV\python_embeded\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "E:\Fooocus-MindOfMatter-Edition-DEV\python_embeded\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "E:\Fooocus-MindOfMatter-Edition-DEV\Fooocus\modules\exp_async_worker.py", line 163, in handler
loras = [[str(args.pop()), float(args.pop()), bool(args.pop())] for _ in range(modules.config.default_loras_max_number)]
AttributeError: module 'modules.config' has no attribute 'default_loras_max_number'
Total time: 0.03 seconds