issue with my text to image ai Device type privateuseone is not supported for torch.Generator() api.

[qWolfey]

Hi let me first say i am very new to this all (ai/python)

I also dont really know what is needed so here i have my specs..
Radeon RX 5500 XT gpu
Amd Ryzen 5 3600 6core cpu
16gb Ram
8gb dedicated gpu memory (Vram.. i think xD )

with the main isseus being:
Device type privateuseone is not supported for torch.Generator() api.
and the time it takes to complete the task being 16 minutes and it didnt even output anything

I have changed the Run.bat to
.\python_embeded\python.exe -m pip uninstall torch torchvision torchaudio torchtext functorch xformers -y
.\python_embeded\python.exe -m pip install torch-directml
.\python_embeded\python.exe -s Fooocus\entry_with_update.py --directml
pause
since it was stated to do so with amd
thats the only thing i have changed about the files
i have the latest install as of december 9th..

Thanks in advance for any1 who can help

This is the log:
E:\AMain\Fooocus Ai gen\Fooocus_win64_2-1-791>.\python_embeded\python.exe -m pip uninstall torch torchvision torchaudio torchtext functorch xformers -y
Found existing installation: torch 2.0.0
Uninstalling torch-2.0.0:
Successfully uninstalled torch-2.0.0
Found existing installation: torchvision 0.15.1
Uninstalling torchvision-0.15.1:
Successfully uninstalled torchvision-0.15.1
WARNING: Skipping torchaudio as it is not installed.
WARNING: Skipping torchtext as it is not installed.
WARNING: Skipping functorch as it is not installed.
WARNING: Skipping xformers as it is not installed.

E:\AMain\Fooocus Ai gen\Fooocus_win64_2-1-791>.\python_embeded\python.exe -m pip install torch-directml
Requirement already satisfied: torch-directml in e:\amain\fooocus ai gen\fooocus_win64_2-1-791\python_embeded\lib\site-packages (0.2.0.dev230426)
Collecting torch==2.0.0 (from torch-directml)
Using cached torch-2.0.0-cp310-cp310-win_amd64.whl (172.3 MB)
Collecting torchvision==0.15.1 (from torch-directml)
Using cached torchvision-0.15.1-cp310-cp310-win_amd64.whl (1.2 MB)
Requirement already satisfied: filelock in e:\amain\fooocus ai gen\fooocus_win64_2-1-791\python_embeded\lib\site-packages (from torch==2.0.0->torch-directml) (3.12.2)
Requirement already satisfied: typing-extensions in e:\amain\fooocus ai gen\fooocus_win64_2-1-791\python_embeded\lib\site-packages (from torch==2.0.0->torch-directml) (4.7.1)
Requirement already satisfied: sympy in e:\amain\fooocus ai gen\fooocus_win64_2-1-791\python_embeded\lib\site-packages (from torch==2.0.0->torch-directml) (1.12)
Requirement already satisfied: networkx in e:\amain\fooocus ai gen\fooocus_win64_2-1-791\python_embeded\lib\site-packages (from torch==2.0.0->torch-directml) (3.1)
Requirement already satisfied: jinja2 in e:\amain\fooocus ai gen\fooocus_win64_2-1-791\python_embeded\lib\site-packages (from torch==2.0.0->torch-directml) (3.1.2)
Requirement already satisfied: numpy in e:\amain\fooocus ai gen\fooocus_win64_2-1-791\python_embeded\lib\site-packages (from torchvision==0.15.1->torch-directml) (1.23.5)
Requirement already satisfied: requests in e:\amain\fooocus ai gen\fooocus_win64_2-1-791\python_embeded\lib\site-packages (from torchvision==0.15.1->torch-directml) (2.31.0)
Requirement already satisfied: pillow!=8.3.,>=5.3.0 in e:\amain\fooocus ai gen\fooocus_win64_2-1-791\python_embeded\lib\site-packages (from torchvision==0.15.1->torch-directml) (9.2.0)
Requirement already satisfied: MarkupSafe>=2.0 in e:\amain\fooocus ai gen\fooocus_win64_2-1-791\python_embeded\lib\site-packages (from jinja2->torch==2.0.0->torch-directml) (2.1.3)
Requirement already satisfied: charset-normalizer<4,>=2 in e:\amain\fooocus ai gen\fooocus_win64_2-1-791\python_embeded\lib\site-packages (from requests->torchvision==0.15.1->torch-directml) (3.1.0)
Requirement already satisfied: idna<4,>=2.5 in e:\amain\fooocus ai gen\fooocus_win64_2-1-791\python_embeded\lib\site-packages (from requests->torchvision==0.15.1->torch-directml) (3.4)
Requirement already satisfied: urllib3<3,>=1.21.1 in e:\amain\fooocus ai gen\fooocus_win64_2-1-791\python_embeded\lib\site-packages (from requests->torchvision==0.15.1->torch-directml) (2.0.3)
Requirement already satisfied: certifi>=2017.4.17 in e:\amain\fooocus ai gen\fooocus_win64_2-1-791\python_embeded\lib\site-packages (from requests->torchvision==0.15.1->torch-directml) (2023.5.7)
Requirement already satisfied: mpmath>=0.19 in e:\amain\fooocus ai gen\fooocus_win64_2-1-791\python_embeded\lib\site-packages (from sympy->torch==2.0.0->torch-directml) (1.3.0)
DEPRECATION: torchsde 0.2.5 has a non-standard dependency specifier numpy>=1.19.; python_version >= "3.7". pip 23.3 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of torchsde or contact the author to suggest that they release a version with a conforming dependency specifiers. Discussion can be found at pypa/pip#12063
Installing collected packages: torch, torchvision
WARNING: The scripts convert-caffe2-to-onnx.exe, convert-onnx-to-caffe2.exe and torchrun.exe are installed in 'E:\AMain\Fooocus Ai gen\Fooocus_win64_2-1-791\python_embeded\Scripts' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
Successfully installed torch-2.0.0 torchvision-0.15.1

[notice] A new release of pip is available: 23.2.1 -> 23.3.1
[notice] To update, run: E:\AMain\Fooocus Ai gen\Fooocus_win64_2-1-791\python_embeded\python.exe -m pip install --upgrade pip

E:\AMain\Fooocus Ai gen\Fooocus_win64_2-1-791>.\python_embeded\python.exe -s Fooocus\entry_with_update.py --directml
Already up-to-date
Update succeeded.
[System ARGV] ['Fooocus\entry_with_update.py', '--directml']
Python 3.10.9 (tags/v3.10.9:1dd9be6, Dec 6 2022, 20:01:21) [MSC v.1934 64 bit (AMD64)]
Fooocus version: 2.1.824
Running on local URL: http://127.0.0.1:7865/

To create a public link, set share=True in launch().
Using directml with device:
Total VRAM 1024 MB, total RAM 16335 MB
Set vram state to: NORMAL_VRAM
Disabling smart memory management
Device: privateuseone
VAE dtype: torch.float32
Using sub quadratic optimization for cross attention, if you have memory or speed issues try using: --use-split-cross-attention
Refiner unloaded.
model_type EPS
adm 2816
Using split attention in VAE
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
Using split attention in VAE
extra keys {'cond_stage_model.clip_l.logit_scale', 'cond_stage_model.clip_g.transformer.text_model.embeddings.position_ids', 'cond_stage_model.clip_l.text_projection'}
Base model loaded: E:\AMain\Fooocus Ai gen\Fooocus_win64_2-1-791\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 [E:\AMain\Fooocus Ai gen\Fooocus_win64_2-1-791\Fooocus\models\checkpoints\juggernautXL_version6Rundiffusion.safetensors].
Loaded LoRA [E:\AMain\Fooocus Ai gen\Fooocus_win64_2-1-791\Fooocus\models\loras\sd_xl_offset_example-lora_1.0.safetensors] for UNet [E:\AMain\Fooocus Ai gen\Fooocus_win64_2-1-791\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 cpu, use_fp16 = False.
Requested to load SDXLClipModel
Requested to load GPT2LMHeadModel
Loading 2 new models
[Fooocus Model Management] Moving model(s) has taken 0.53 seconds
App started successful. Use the app with http://127.0.0.1:7865/ or 127.0.0.1:7865
[Parameters] Adaptive CFG = 7
[Parameters] Sharpness = 2
[Parameters] ADM Scale = 1.5 : 0.8 : 0.3
[Parameters] CFG = 4.0
[Parameters] Seed = 5027677228259297186
[Parameters] Sampler = dpmpp_2m_sde_gpu - karras
[Parameters] Steps = 30 - 15
[Fooocus] Initializing ...
[Fooocus] Loading models ...
Refiner unloaded.
[Fooocus] Processing prompts ...
[Fooocus] Preparing Fooocus text lllyasviel/Fooocus#1 ...
[Prompt Expansion] Cute girl on sofa, full perfect, fine still, intricate, elegant, highly detailed, delicate, sharp focus, dynamic light, great composition, clear background, scenic, vibrant colors, inspired very strong cinematic chanted epic, professional, winning, fantastic, artistic, positive, emotional, pretty, attractive, cute, enhanced, loving, colorful, beautiful, symmetry, illuminated
[Fooocus] Encoding positive lllyasviel/Fooocus#1 ...
[Fooocus] Encoding negative lllyasviel/Fooocus#1 ...
[Parameters] Denoising Strength = 1.0
[Parameters] Initial Latent shape: Image Space (1024, 1024)
Preparation time: 28.32 seconds
[Sampler] refiner_swap_method = joint
[Sampler] sigma_min = 0.0291671771556139, sigma_max = 14.614643096923828
Traceback (most recent call last):
File "E:\AMain\Fooocus Ai gen\Fooocus_win64_2-1-791\Fooocus\modules\async_worker.py", line 803, in worker
handler(task)
File "E:\AMain\Fooocus Ai gen\Fooocus_win64_2-1-791\python_embeded\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "E:\AMain\Fooocus Ai gen\Fooocus_win64_2-1-791\python_embeded\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "E:\AMain\Fooocus Ai gen\Fooocus_win64_2-1-791\Fooocus\modules\async_worker.py", line 735, in handler
imgs = pipeline.process_diffusion(
File "E:\AMain\Fooocus Ai gen\Fooocus_win64_2-1-791\python_embeded\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "E:\AMain\Fooocus Ai gen\Fooocus_win64_2-1-791\python_embeded\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "E:\AMain\Fooocus Ai gen\Fooocus_win64_2-1-791\Fooocus\modules\default_pipeline.py", line 354, in process_diffusion
modules.patch.BrownianTreeNoiseSamplerPatched.global_init(
File "E:\AMain\Fooocus Ai gen\Fooocus_win64_2-1-791\Fooocus\modules\patch.py", line 173, in global_init
BrownianTreeNoiseSamplerPatched.tree = BatchedBrownianTree(x, t0, t1, seed, cpu=cpu)
File "E:\AMain\Fooocus Ai gen\Fooocus_win64_2-1-791\Fooocus\backend\headless\fcbh\k_diffusion\sampling.py", line 85, in init
self.trees = [torchsde.BrownianTree(t0, w0, t1, entropy=s, **kwargs) for s in seed]
File "E:\AMain\Fooocus Ai gen\Fooocus_win64_2-1-791\Fooocus\backend\headless\fcbh\k_diffusion\sampling.py", line 85, in
self.trees = [torchsde.BrownianTree(t0, w0, t1, entropy=s, **kwargs) for s in seed]
File "E:\AMain\Fooocus Ai gen\Fooocus_win64_2-1-791\python_embeded\lib\site-packages\torchsde_brownian\derived.py", line 155, in init
self._interval = brownian_interval.BrownianInterval(t0=t0,
File "E:\AMain\Fooocus Ai gen\Fooocus_win64_2-1-791\python_embeded\lib\site-packages\torchsde_brownian\brownian_interval.py", line 540, in init
W = self._randn(initial_W_seed) * math.sqrt(t1 - t0)
File "E:\AMain\Fooocus Ai gen\Fooocus_win64_2-1-791\python_embeded\lib\site-packages\torchsde_brownian\brownian_interval.py", line 234, in _randn
return _randn(size, self._top._dtype, self._top._device, seed)
File "E:\AMain\Fooocus Ai gen\Fooocus_win64_2-1-791\python_embeded\lib\site-packages\torchsde_brownian\brownian_interval.py", line 32, in _randn
generator = torch.Generator(device).manual_seed(int(seed))
RuntimeError: Device type privateuseone is not supported for torch.Generator() api.
Total time: 1029.91 seconds

[roninDday]

i have same situation on mac.

DEPRECATION: torchsde 0.2.5 has a non-standard dependency specifier numpy>=1.19.; python_version >= "3.7". pip 23.3 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of torchsde or contact the author to suggest that they release a version with a conforming dependency specifiers. Discussion can be found at pypa/pip#12063