19.09.2024 AssertionError: Torch not compiled with CUDA enabled. An attempt to use ZLUDA for Stable Diffusion on windows.

[Harbitos]

Trying to solve the bug (which is open here - #33), I tried to install HIP SDK 5 with RocblasLibs libraries following the instructions from here - https://github.com/likelovewant/ROCmLibs-for-gfx1103-AMD780M-APU I noticed another mistake that I had never seen before. I tried to install it earlier, but there was an error with rocblas, so I used --directml and everything worked for me.

All the characteristics and the problem that started it all are described here - #33
In that error, --directml stopped helping me, I decided to try --use-zluda.

And another question for everyone: has anyone ever run Stable Diffusion Forge with --use-zluda on windows?

venv "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\Scripts\Python.exe"
WARNING: ZLUDA works best with SD.Next. Please consider migrating to SD.Next.
fatal: No names found, cannot describe anything.
Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug  1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Version: f2.0.1v1.10.1-1.10.1
Commit hash: 412c2d800dcae4cee8a7466a1e9128cfbbc5bf26
Using ZLUDA in C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\.zluda
Traceback (most recent call last):
  File "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\launch.py", line 58, in <module>
    main()
  File "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\launch.py", line 46, in main
    prepare_environment()
  File "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\modules\launch_utils.py", line 608, in prepare_environment
    from modules import devices
  File "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\modules\devices.py", line 3, in <module>
    from backend import memory_management
  File "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\backend\memory_management.py", line 133, in <module>
    total_vram = get_total_memory(get_torch_device()) / (1024 * 1024)
  File "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\backend\memory_management.py", line 100, in get_torch_device
    return torch.device(torch.cuda.current_device())
  File "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\cuda\__init__.py", line 778, in current_device
    _lazy_init()
  File "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\cuda\__init__.py", line 284, in _lazy_init
    raise AssertionError("Torch not compiled with CUDA enabled")
AssertionError: Torch not compiled with CUDA enabled
Press any key to continue . . .

[lshqqytiger]

You should wipe venv before switching computing backend. Please try again after wiping venv folder.
In addition, why https://github.com/likelovewant/ROCmLibs-for-gfx1103-AMD780M-APU? Your card, RX 580, is gfx803, not gfx1103.
Maybe this one is what you want.

[Harbitos]

You should wipe venv before switching computing backend. Please try again after wiping venv folder. In addition, why https://github.com/likelovewant/ROCmLibs-for-gfx1103-AMD780M-APU? Your card, RX 580, is gfx803, not gfx1103. Maybe this one is what you want.

After all this, the SD started, but as in previous problems, it does not generate or write an error after generation.
I have installed ROCmLibs-Fallback in C:\Program Files\AMD\ROCm\5.7\bin\rocblas without renaming the "libraries" folder.

venv "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\Scripts\Python.exe"
ROCm Toolkit 5.7 was found.
fatal: No names found, cannot describe anything.
Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug  1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Version: f2.0.1v1.10.1-1.10.1
Commit hash: 412c2d800dcae4cee8a7466a1e9128cfbbc5bf26
Using ZLUDA in C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\.zluda
Total VRAM 8192 MB, total RAM 16328 MB
pytorch version: 2.3.0+cu118
Set vram state to: NORMAL_VRAM
Device: cuda:0 AMD Radeon RX 580 2048SP [ZLUDA] : native
VAE dtype preferences: [torch.bfloat16, torch.float32] -> torch.bfloat16
Launching Web UI with arguments: --theme dark --zluda --skip-version-check
CUDA Using Stream: False
Using pytorch cross attention
Using pytorch attention for VAE
ONNX: version=1.19.2 provider=CUDAExecutionProvider, available=['TensorrtExecutionProvider', 'CUDAExecutionProvider', 'CPUExecutionProvider']
ZLUDA device failed to pass basic operation test: index=0, device_name=AMD Radeon RX 580 2048SP [ZLUDA]
CUDA error: out of memory
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.

ControlNet preprocessor location: C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\models\ControlNetPreprocessor
2024-09-19 18:43:42,770 - ControlNet - INFO - ControlNet UI callback registered.
Model selected: {'checkpoint_info': {'filename': 'C:\\Users\\user\\Desktop\\Stable Diffusion Forge\\stable-diffusion-webui-amdgpu-forge\\models\\Stable-diffusion\\epicrealism_pureEvolutionV3.safetensors', 'hash': '42c8440c'}, 'additional_modules': [], 'unet_storage_dtype': None}
Using online LoRAs in FP16: False
Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
Startup time: 20.2s (prepare environment: 6.8s, import torch: 6.8s, initialize shared: 2.1s, load scripts: 2.6s, create ui: 2.9s, gradio launch: 1.6s).
Environment vars changed: {'stream': False, 'inference_memory': 1024.0, 'pin_shared_memory': False}
[GPU Setting] You will use 87.50% GPU memory (7168.00 MB) to load weights, and use 12.50% GPU memory (1024.00 MB) to do matrix computation.
Exception in thread MemMon:
Traceback (most recent call last):
  File "C:\Users\user\AppData\Local\Programs\Python\Python310\lib\threading.py", line 1016, in _bootstrap_inner
    self.run()
  File "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\modules\memmon.py", line 43, in run
    torch.cuda.reset_peak_memory_stats()
  File "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\cuda\memory.py", line 309, in reset_peak_memory_stats
    return torch._C._cuda_resetPeakMemoryStats(device)
RuntimeError: invalid argument to reset_peak_memory_stats
Loading Model: {'checkpoint_info': {'filename': 'C:\\Users\\user\\Desktop\\Stable Diffusion Forge\\stable-diffusion-webui-amdgpu-forge\\models\\Stable-diffusion\\epicrealism_pureEvolutionV3.safetensors', 'hash': '42c8440c'}, 'additional_modules': [], 'unet_storage_dtype': None}
[Unload] Trying to free all memory for cuda:0 with 0 models keep loaded ... Done.
StateDict Keys: {'unet': 686, 'vae': 248, 'text_encoder': 197, 'ignore': 0}
C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\transformers\tokenization_utils_base.py:1601: FutureWarning: `clean_up_tokenization_spaces` was not set. It will be set to `True` by default. This behavior will be depracted in transformers v4.45, and will be then set to `False` by default. For more details check this issue: https://github.com/huggingface/transformers/issues/31884
  warnings.warn(
Press any key to continue . . .

[TheFerumn]

Its 100% something with your PC only since i already tested SD Forge for AMD on 2 different PCs with DirectML and ZLUDA as well. Hard to tell what exactly without errors. Maybe using --loglevel debug will show something more ? Its always worth trying.
I don't know which command can actually show you more so just test it yourself.

[Harbitos]

Its 100% something with your PC only since i already tested SD Forge for AMD on 2 different PCs with DirectML and ZLUDA as well. Hard to tell what exactly without errors. Maybe using --loglevel debug will show something more ? Its always worth trying.
I don't know which command can actually show you more so just test it yourself.

venv "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\Scripts\Python.exe"
ROCm Toolkit 5.7 was found.
fatal: No names found, cannot describe anything.
Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Version: f2.0.1v1.10.1-1.10.1
Commit hash: 412c2d8
Using ZLUDA in C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge.zluda
2024-09-19 20:23:10 DEBUG [root] Installing put extensions here.txt
2024-09-19 20:23:10 DEBUG [root] Installing extra-options-section
2024-09-19 20:23:10 DEBUG [root] Installing forge_legacy_preprocessors
2024-09-19 20:23:10 DEBUG [root] Installing forge_preprocessor_inpaint
2024-09-19 20:23:10 DEBUG [root] Installing forge_preprocessor_marigold
2024-09-19 20:23:10 DEBUG [root] Installing forge_preprocessor_normalbae
2024-09-19 20:23:10 DEBUG [root] Installing forge_preprocessor_recolor
2024-09-19 20:23:10 DEBUG [root] Installing forge_preprocessor_reference
2024-09-19 20:23:10 DEBUG [root] Installing forge_preprocessor_revision
2024-09-19 20:23:10 DEBUG [root] Installing forge_preprocessor_tile
2024-09-19 20:23:10 DEBUG [root] Installing forge_space_animagine_xl_31
2024-09-19 20:23:10 DEBUG [root] Installing forge_space_birefnet
2024-09-19 20:23:10 DEBUG [root] Installing forge_space_example
2024-09-19 20:23:10 DEBUG [root] Installing forge_space_florence_2
2024-09-19 20:23:10 DEBUG [root] Installing forge_space_geowizard
2024-09-19 20:23:10 DEBUG [root] Installing forge_space_iclight
2024-09-19 20:23:10 DEBUG [root] Installing forge_space_idm_vton
2024-09-19 20:23:10 DEBUG [root] Installing forge_space_illusion_diffusion
2024-09-19 20:23:10 DEBUG [root] Installing forge_space_photo_maker_v2
2024-09-19 20:23:10 DEBUG [root] Installing forge_space_sapiens_normal
2024-09-19 20:23:10 DEBUG [root] Installing mobile
2024-09-19 20:23:10 DEBUG [root] Installing prompt-bracket-checker
2024-09-19 20:23:10 DEBUG [root] Installing ScuNET
2024-09-19 20:23:10 DEBUG [root] Installing sd_forge_controlllite
2024-09-19 20:23:10 DEBUG [root] Installing sd_forge_controlnet
2024-09-19 20:23:11 DEBUG [root] Installing sd_forge_dynamic_thresholding
2024-09-19 20:23:11 DEBUG [root] Installing sd_forge_fooocus_inpaint
2024-09-19 20:23:11 DEBUG [root] Installing sd_forge_freeu
2024-09-19 20:23:11 DEBUG [root] Installing sd_forge_ipadapter
2024-09-19 20:23:11 DEBUG [root] Installing sd_forge_kohya_hrfix
2024-09-19 20:23:11 DEBUG [root] Installing sd_forge_latent_modifier
2024-09-19 20:23:11 DEBUG [root] Installing sd_forge_lora
2024-09-19 20:23:11 DEBUG [root] Installing sd_forge_multidiffusion
2024-09-19 20:23:11 DEBUG [root] Installing sd_forge_neveroom
2024-09-19 20:23:11 DEBUG [root] Installing sd_forge_perturbed_attention
2024-09-19 20:23:11 DEBUG [root] Installing sd_forge_sag
2024-09-19 20:23:11 DEBUG [root] Installing sd_forge_stylealign
2024-09-19 20:23:11 DEBUG [root] Installing soft-inpainting
2024-09-19 20:23:11 DEBUG [root] Installing SwinIR
Total VRAM 8192 MB, total RAM 16328 MB
pytorch version: 2.3.0+cu118
Set vram state to: NORMAL_VRAM
Device: cuda:0 AMD Radeon RX 580 2048SP [ZLUDA] : native
VAE dtype preferences: [torch.bfloat16, torch.float32] -> torch.bfloat16
Launching Web UI with arguments: --theme dark --zluda --skip-version-check --loglevel debug
CUDA Using Stream: False
2024-09-19 20:23:21 DEBUG [httpx] load_ssl_context verify=True cert=None trust_env=True http2=False
2024-09-19 20:23:21 DEBUG [httpx] load_verify_locations cafile='C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\certifi\cacert.pem'
2024-09-19 20:23:21 DEBUG [httpx] load_ssl_context verify=True cert=None trust_env=True http2=False
2024-09-19 20:23:21 DEBUG [httpx] load_verify_locations cafile='C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\certifi\cacert.pem'
2024-09-19 20:23:21 DEBUG [httpx] load_ssl_context verify=True cert=None trust_env=True http2=False
2024-09-19 20:23:21 DEBUG [httpx] load_verify_locations cafile='C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\certifi\cacert.pem'
2024-09-19 20:23:21 DEBUG [bitsandbytes.cextension] Loading bitsandbytes native library from: C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\bitsandbytes\libbitsandbytes_cuda118.dll
Using pytorch cross attention
Using pytorch attention for VAE
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing BlpImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing BmpImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing BufrStubImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing CurImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing DcxImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing DdsImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing EpsImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing FitsImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing FitsStubImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing FliImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing FpxImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Image: failed to import FpxImagePlugin: No module named 'olefile'
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing FtexImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing GbrImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing GifImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing GribStubImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing Hdf5StubImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing IcnsImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing IcoImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing ImImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing ImtImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing IptcImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing JpegImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing Jpeg2KImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing McIdasImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing MicImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Image: failed to import MicImagePlugin: No module named 'olefile'
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing MpegImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing MpoImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing MspImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing PalmImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing PcdImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing PcxImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing PdfImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing PixarImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing PngImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing PpmImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing PsdImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing QoiImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing SgiImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing SpiderImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing SunImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing TgaImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing TiffImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing WebPImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing WmfImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing XbmImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing XpmImagePlugin
2024-09-19 20:23:30 DEBUG [PIL.Image] Importing XVThumbImagePlugin
2024-09-19 20:23:35 DEBUG [matplotlib] matplotlib data path: C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\matplotlib\mpl-data
2024-09-19 20:23:35 DEBUG [matplotlib] CONFIGDIR=C:\Users\user.matplotlib
2024-09-19 20:23:35 DEBUG [matplotlib] interactive is False
2024-09-19 20:23:35 DEBUG [matplotlib] platform is win32
2024-09-19 20:23:35 DEBUG [matplotlib] CACHEDIR=C:\Users\user.matplotlib
2024-09-19 20:23:35 DEBUG [matplotlib.font_manager] Using fontManager instance from C:\Users\user.matplotlib\fontlist-v390.json
2024-09-19 20:23:37 DEBUG [git.cmd] Popen(['git', 'version'], cwd=C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge, universal_newlines=False, shell=None, istream=None)
2024-09-19 20:23:37 DEBUG [git.cmd] Popen(['git', 'version'], cwd=C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge, universal_newlines=False, shell=None, istream=None)
ONNX: version=1.19.2 provider=CUDAExecutionProvider, available=['TensorrtExecutionProvider', 'CUDAExecutionProvider', 'CPUExecutionProvider']
ZLUDA device failed to pass basic operation test: index=0, device_name=AMD Radeon RX 580 2048SP [ZLUDA]
CUDA error: out of memory
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.

ControlNet preprocessor location: C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\models\ControlNetPreprocessor
2024-09-19 20:23:46 DEBUG [asyncio] Using selector: SelectSelector
2024-09-19 20:23:48,037 - ControlNet - INFO - ControlNet UI callback registered.
Model selected: {'checkpoint_info': {'filename': 'C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\models\Stable-diffusion\epicrealism_pureEvolutionV3.safetensors', 'hash': '42c8440c'}, 'additional_modules': [], 'unet_storage_dtype': None}
Using online LoRAs in FP16: False
2024-09-19 20:23:50 DEBUG [asyncio] Using selector: SelectSelector
Running on local URL: http://127.0.0.1:7860
2024-09-19 20:23:50 DEBUG [httpx] load_ssl_context verify=None cert=None trust_env=True http2=False
2024-09-19 20:23:50 INFO [httpx] HTTP Request: GET http://127.0.0.1:7860/startup-events "HTTP/1.1 200 OK"
2024-09-19 20:23:50 DEBUG [httpx] load_ssl_context verify=False cert=None trust_env=True http2=False
2024-09-19 20:23:51 INFO [httpx] HTTP Request: HEAD http://127.0.0.1:7860/ "HTTP/1.1 200 OK"

To create a public link, set share=True in launch().
Startup time: 42.0s (prepare environment: 17.7s, import torch: 18.3s, initialize shared: 5.2s, other imports: 0.1s, load scripts: 3.9s, create ui: 3.2s, gradio launch: 1.6s).
2024-09-19 20:23:55 DEBUG [matplotlib.pyplot] Loaded backend tkagg version 8.6.
2024-09-19 20:23:55 DEBUG [matplotlib.pyplot] Loaded backend agg version v2.2.
2024-09-19 20:23:55 DEBUG [matplotlib.pyplot] Loaded backend tkagg version 8.6.
2024-09-19 20:23:55 DEBUG [matplotlib.pyplot] Loaded backend agg version v2.2.
Environment vars changed: {'stream': False, 'inference_memory': 1024.0, 'pin_shared_memory': False}
[GPU Setting] You will use 87.50% GPU memory (7168.00 MB) to load weights, and use 12.50% GPU memory (1024.00 MB) to do matrix computation.
2024-09-19 20:23:55 DEBUG [git.cmd] Popen(['git', 'remote', 'get-url', '--all', 'origin'], cwd=C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge, universal_newlines=False, shell=None, istream=None)
2024-09-19 20:23:55 DEBUG [git.cmd] Popen(['git', 'cat-file', '--batch-check'], cwd=C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge, universal_newlines=False, shell=None, istream=)
2024-09-19 20:23:55 DEBUG [git.cmd] Popen(['git', 'cat-file', '--batch'], cwd=C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge, universal_newlines=False, shell=None, istream=)
2024-09-19 20:23:55 DEBUG [git.cmd] Popen(['git', 'remote', 'get-url', '--all', 'origin'], cwd=C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge, universal_newlines=False, shell=None, istream=None)
2024-09-19 20:23:56 DEBUG [git.cmd] Popen(['git', 'cat-file', '--batch-check'], cwd=C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge, universal_newlines=False, shell=None, istream=)
2024-09-19 20:23:56 DEBUG [git.cmd] Popen(['git', 'cat-file', '--batch'], cwd=C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge, universal_newlines=False, shell=None, istream=)
2024-09-19 20:24:10 INFO [modules.shared_state] Starting job task(rt6xopp5wid20e9)
Exception in thread MemMon:
Traceback (most recent call last):
File "C:\Users\user\AppData\Local\Programs\Python\Python310\lib\threading.py", line 1016, in _bootstrap_inner
self.run()
File "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\modules\memmon.py", line 43, in run
torch.cuda.reset_peak_memory_stats()
File "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\cuda\memory.py", line 309, in reset_peak_memory_stats
return torch._C._cuda_resetPeakMemoryStats(device)
RuntimeError: invalid argument to reset_peak_memory_stats
Loading Model: {'checkpoint_info': {'filename': 'C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\models\Stable-diffusion\epicrealism_pureEvolutionV3.safetensors', 'hash': '42c8440c'}, 'additional_modules': [], 'unet_storage_dtype': None}
[Unload] Trying to free all memory for cuda:0 with 0 models keep loaded ... Done.
StateDict Keys: {'unet': 686, 'vae': 248, 'text_encoder': 197, 'ignore': 0}
C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\transformers\tokenization_utils_base.py:1601: FutureWarning: clean_up_tokenization_spaces was not set. It will be set to True by default. This behavior will be depracted in transformers v4.45, and will be then set to False by default. For more details check this issue: huggingface/transformers#31884
warnings.warn(
Press any key to continue . . .

[TheFerumn]

All i can say this error is new to me but i googled a little and it shouldn't be critical. Just wonder why its not showing to me ? Which version of Transformers you have ?

C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\transformers\tokenization_utils_base.py:1601: FutureWarning: clean_up_tokenization_spaces was not set. It will be set to True by default. This behavior will be depracted in transformers v4.45, and will be then set to False by default. For more details check this issue: https://github.com/huggingface/transformers/issues/31884

Other than that this might be an issue too but i can't really tell whats the source of it:

ZLUDA device failed to pass basic operation test: index=0, device_name=AMD Radeon RX 580 2048SP [ZLUDA]
CUDA error: out of memory

[Harbitos]

All i can say this error is new to me but i googled a little and it shouldn't be critical. Just wonder why its not showing to me ? Which version of Transformers you have ?

C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\transformers\tokenization_utils_base.py:1601: FutureWarning: clean_up_tokenization_spaces was not set. It will be set to True by default. This behavior will be depracted in transformers v4.45, and will be then set to False by default. For more details check this issue: https://github.com/huggingface/transformers/issues/31884

Other than that this might be an issue too but i can't really tell whats the source of it:

ZLUDA device failed to pass basic operation test: index=0, device_name=AMD Radeon RX 580 2048SP [ZLUDA]
CUDA error: out of memory

Maybe it

[TheFerumn]

Transformers should be fine. I am afraid i can't help you. Maybe lshqqytiger knows some methods to find the source of your problem.

My last suggestion is to never use Cyrillic letters or any letters other than english for your folders when using Windows :D
OFC its probably not relevant since it worked for you before. I just had a lot of problems already in the past when using non standard letters in my windows username :D

EDIT: Nevermind its just "desktop" translated into your language but pythoon sees it as /desktop/ folder anyway

[lshqqytiger]

gfx803 has a bug that the driver occurs out of memory error even if there's enough memory left. This bug may be from driver or hip sdk. The exact cause is unknown.
You can try upgrading and downgrading graphics driver, but I'm not sure whether it works.

[lshqqytiger]

Could you try downgrading torch?

.\venv\Scripts\activate
pip install torch==2.2.1 torchvision==0.17.1 --index-url https://download.pytorch.org/whl/cu118

lshqqytiger/stable-diffusion-webui-amdgpu#479

[Harbitos]

Transformers should be fine. I am afraid i can't help you. Maybe lshqqytiger knows some methods to find the source of your problem.

My last suggestion is to never use Cyrillic letters or any letters other than english for your folders when using Windows :D OFC its probably not relevant since it worked for you before. I just had a lot of problems already in the past when using non standard letters in my windows username :D

EDIT: Nevermind its just "desktop" translated into your language but pythoon sees it as /desktop/ folder anyway

I had these errors, but they don't appear anymore.
(Errors in the screenshots and my next comment)

[Harbitos]

Could you try downgrading torch?

.\venv\Scripts\activate
pip install torch==2.2.1 torchvision==0.17.1 --index-url https://download.pytorch.org/whl/cu118

lshqqytiger/stable-diffusion-webui-amdgpu#479

I tried it, all the same. When I first started SD after downgrading the torch version, I got a very long error, and on the second launch everything is as before.

Could I have written something wrong:
open cmd internal folder with SD and write:
venv\scripts\activate
then:
pip uninstall torch torchvision torchaudio -y
then:
pip install torch==2.2.1 torchvision==0.17.1 torchaudio==2.2.1 --index-url https://download.pytorch.org/whl/cu118

AMD driver - 24.3.1 (I kind of installed the latest version and SD used to work for me, but after SD stopped working, installing the latest version or 24.3.1 did not help)

I have a second UBUNTU system, I tried to install SD-forge there (I'll use it there anyway), but I have installation errors and I'm waiting for another person to help me or figure it out myself.
I have a plan B to reinstall the windows system, but I don't want to do that most of all because I have a lot of programs and files there.
I want to use SD-forge on windows as well, because everything worked for me.

The first launch:

venv "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\Scripts\Python.exe"
ROCm Toolkit 5.7 was found.
fatal: No names found, cannot describe anything.
Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug  1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Version: f2.0.1v1.10.1-1.10.1
Commit hash: 412c2d800dcae4cee8a7466a1e9128cfbbc5bf26
Using ZLUDA in C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\.zluda
You are using PyTorch below version 2.3. Some optimizations will be disabled.
Total VRAM 8192 MB, total RAM 16328 MB
pytorch version: 2.2.1+cu118
Set vram state to: NORMAL_VRAM
Device: cuda:0 AMD Radeon RX 580 2048SP [ZLUDA] : native
VAE dtype preferences: [torch.bfloat16, torch.float32] -> torch.bfloat16
Launching Web UI with arguments: --theme dark --zluda --skip-version-check
CUDA Using Stream: False
Using pytorch cross attention
Using pytorch attention for VAE
ONNX: version=1.19.2 provider=CUDAExecutionProvider, available=['TensorrtExecutionProvider', 'CUDAExecutionProvider', 'CPUExecutionProvider']
ControlNet preprocessor location: C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\models\ControlNetPreprocessor
2024-09-20 11:26:45,767 - ControlNet - INFO - ControlNet UI callback registered.
Model selected: {'checkpoint_info': {'filename': 'C:\\Users\\user\\Desktop\\Stable Diffusion Forge\\stable-diffusion-webui-amdgpu-forge\\models\\Stable-diffusion\\epicrealism_pureEvolutionV3.safetensors', 'hash': '42c8440c'}, 'additional_modules': [], 'unet_storage_dtype': None}
Using online LoRAs in FP16: False
Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
Startup time: 237.9s (prepare environment: 9.3s, import torch: 8.6s, initialize shared: 216.0s, load scripts: 3.1s, create ui: 2.9s, gradio launch: 1.5s).
Environment vars changed: {'stream': False, 'inference_memory': 1024.0, 'pin_shared_memory': False}
[GPU Setting] You will use 87.50% GPU memory (7168.00 MB) to load weights, and use 12.50% GPU memory (1024.00 MB) to do matrix computation.
Loading Model: {'checkpoint_info': {'filename': 'C:\\Users\\user\\Desktop\\Stable Diffusion Forge\\stable-diffusion-webui-amdgpu-forge\\models\\Stable-diffusion\\epicrealism_pureEvolutionV3.safetensors', 'hash': '42c8440c'}, 'additional_modules': [], 'unet_storage_dtype': None}
[Unload] Trying to free all memory for cuda:0 with 0 models keep loaded ... Done.
StateDict Keys: {'unet': 686, 'vae': 248, 'text_encoder': 197, 'ignore': 0}
C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\transformers\tokenization_utils_base.py:1601: FutureWarning: `clean_up_tokenization_spaces` was not set. It will be set to `True` by default. This behavior will be depracted in transformers v4.45, and will be then set to `False` by default. For more details check this issue: https://github.com/huggingface/transformers/issues/31884
  warnings.warn(
Exception Code: 0xC0000005
0x00007FFEA4572CF4, C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\lib\c10.dll(0x00007FFEA4510000) + 0x62CF4 byte(s)
0x00007FFEA4571FFC, C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\lib\c10.dll(0x00007FFEA4510000) + 0x61FFC byte(s)
0x00007FFEA4574497, C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\lib\c10.dll(0x00007FFEA4510000) + 0x64497 byte(s)
0x00007FFEA457413E, C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\lib\c10.dll(0x00007FFEA4510000) + 0x6413E byte(s)
0x00007FFEA4573970, C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\lib\c10.dll(0x00007FFEA4510000) + 0x63970 byte(s)
0x00007FFEA4570E17, C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\lib\c10.dll(0x00007FFEA4510000) + 0x60E17 byte(s)
0x00007FFEA4570F39, C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\lib\c10.dll(0x00007FFEA4510000) + 0x60F39 byte(s)
0x00007FFEA4557068, C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\lib\c10.dll(0x00007FFEA4510000) + 0x47068 byte(s)
0x00007FFEA4518C7C, C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\lib\c10.dll(0x00007FFEA4510000) + 0x8C7C byte(s)
0x00007FFEA4529183, C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\lib\c10.dll(0x00007FFEA4510000) + 0x19183 byte(s)
0x00007FFD0C338B1F, C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\lib\torch_cpu.dll(0x00007FFD05AC0000) + 0x6878B1F byte(s)
0x00007FFD0C33ACB6, C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\lib\torch_cpu.dll(0x00007FFD05AC0000) + 0x687ACB6 byte(s)
0x00007FFD0C839C8C, C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\lib\torch_cpu.dll(0x00007FFD05AC0000) + 0x6D79C8C byte(s)
0x00007FFD0D3272A5, C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\lib\torch_cpu.dll(0x00007FFD05AC0000) + 0x78672A5 byte(s)
0x00007FFD0D2E3D1E, C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\lib\torch_cpu.dll(0x00007FFD05AC0000) + 0x7823D1E byte(s)
0x00007FFD0CE5642C, C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\lib\torch_cpu.dll(0x00007FFD05AC0000) + 0x739642C byte(s)
0x00007FFD0CEB8621, C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\lib\torch_cpu.dll(0x00007FFD05AC0000) + 0x73F8621 byte(s)
0x00007FFD0CF862EE, C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\lib\torch_cpu.dll(0x00007FFD05AC0000) + 0x74C62EE byte(s)
0x00007FFD0D1E1CC9, C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\lib\torch_cpu.dll(0x00007FFD05AC0000) + 0x7721CC9 byte(s)
0x00007FFD0D1DFD5E, C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\lib\torch_cpu.dll(0x00007FFD05AC0000) + 0x771FD5E byte(s)
0x00007FFD0CE5642C, C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\lib\torch_cpu.dll(0x00007FFD05AC0000) + 0x739642C byte(s)
0x00007FFD0CEF825B, C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\lib\torch_cpu.dll(0x00007FFD05AC0000) + 0x743825B byte(s)
0x00007FFE567193AA, C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\lib\torch_python.dll(0x00007FFE564B0000) + 0x2693AA byte(s)
0x00007FFE5676A85E, C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\lib\torch_python.dll(0x00007FFE564B0000) + 0x2BA85E byte(s)
0x00007FFEA69149A6, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x649A6 byte(s)
0x00007FFEA68E094E, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x3094E byte(s)
0x00007FFEA68E0A4B, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x30A4B byte(s)
0x00007FFEA692D24F, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x7D24F byte(s)
0x00007FFEA6924F15, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x74F15 byte(s)
0x00007FFEA68E0B8C, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x30B8C byte(s)
0x00007FFEA68E0A07, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x30A07 byte(s)
0x00007FFEA692D24F, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x7D24F byte(s)
0x00007FFEA6924F15, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x74F15 byte(s)
0x00007FFEA68E0B8C, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x30B8C byte(s)
0x00007FFEA68E0A07, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x30A07 byte(s)
0x00007FFEA692D24F, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x7D24F byte(s)
0x00007FFEA6926267, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x76267 byte(s)
0x00007FFEA68E3532, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x33532 byte(s)
0x00007FFEA68E3964, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x33964 byte(s)
0x00007FFEA68E0A83, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x30A83 byte(s)
0x00007FFEA692D24F, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x7D24F byte(s)
0x00007FFEA6926267, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x76267 byte(s)
0x00007FFEA692D712, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x7D712 byte(s)
0x00007FFEA6926267, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x76267 byte(s)
0x00007FFEA68E3532, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x33532 byte(s)
0x00007FFEA68E3964, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x33964 byte(s)
0x00007FFEA68E6C3F, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x36C3F byte(s)
0x00007FFEA692E02B, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x7E02B byte(s)
0x00007FFEA6926267, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x76267 byte(s)
0x00007FFEA68E0B8C, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x30B8C byte(s)
0x00007FFEA68E0A07, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x30A07 byte(s)
0x00007FFEA692D24F, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x7D24F byte(s)
0x00007FFEA6926267, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x76267 byte(s)
0x00007FFEA68E3532, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x33532 byte(s)
0x00007FFEA68E3964, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x33964 byte(s)
0x00007FFEA68E0A83, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x30A83 byte(s)
0x00007FFEA692D24F, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x7D24F byte(s)
0x00007FFEA6924F15, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x74F15 byte(s)
0x00007FFEA6928C0B, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x78C0B byte(s)
0x00007FFEA6926267, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x76267 byte(s)
0x00007FFEA69277C4, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x777C4 byte(s)
0x00007FFEA6926267, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x76267 byte(s)
0x00007FFEA69277C4, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x777C4 byte(s)
0x00007FFEA6926267, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x76267 byte(s)
0x00007FFEA68E0B8C, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x30B8C byte(s)
0x00007FFEA68E0A07, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x30A07 byte(s)
0x00007FFEA692D24F, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x7D24F byte(s)
0x00007FFEA6926267, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x76267 byte(s)
0x00007FFEA692D712, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x7D712 byte(s)
0x00007FFEA6926267, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x76267 byte(s)
0x00007FFEA68E0B30, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x30B30 byte(s)
0x00007FFEA68E0A07, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x30A07 byte(s)
0x00007FFEA692D24F, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x7D24F byte(s)
0x00007FFEA6926267, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x76267 byte(s)
0x00007FFEA69277C4, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x777C4 byte(s)
0x00007FFEA6926267, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x76267 byte(s)
0x00007FFEA6928C0B, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x78C0B byte(s)
0x00007FFEA6926267, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x76267 byte(s)
0x00007FFEA68E0B30, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x30B30 byte(s)
0x00007FFEA68E0A07, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x30A07 byte(s)
0x00007FFEA692D24F, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x7D24F byte(s)
0x00007FFEA69280ED, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x780ED byte(s)
0x00007FFEA6926267, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x76267 byte(s)
0x00007FFEA6928C0B, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x78C0B byte(s)
0x00007FFEA6926267, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x76267 byte(s)
0x00007FFEA69277C4, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x777C4 byte(s)
0x00007FFEA6926267, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x76267 byte(s)
0x00007FFEA69277C4, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x777C4 byte(s)
0x00007FFEA68D9301, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x29301 byte(s)
0x00007FFEA68D7DB2, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x27DB2 byte(s)
0x00007FFEA68D6BFE, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x26BFE byte(s)
0x00007FFEA68D6B7E, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x26B7E byte(s)
0x00007FFEA69C424C, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x11424C byte(s)
0x00007FFEA69C4101, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x114101 byte(s)
0x00007FFEA69C3F04, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x113F04 byte(s)
0x00007FFEA69C3B7F, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x113B7F byte(s)
0x00007FFEA69C398F, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x11398F byte(s)
0x00007FFEA69C2F98, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x112F98 byte(s)
0x00007FFEA69C2E29, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x112E29 byte(s)
0x00007FFEA69C27ED, C:\Users\user\AppData\Local\Programs\Python\Python310\python310.dll(0x00007FFEA68B0000) + 0x1127ED byte(s)
0x00007FF7EAF61230, C:\Users\user\AppData\Local\Programs\Python\Python310\python.exe(0x00007FF7EAF60000) + 0x1230 byte(s)
0x00007FFECF387344, C:\Windows\System32\KERNEL32.DLL(0x00007FFECF370000) + 0x17344 byte(s)
0x00007FFED04626B1, C:\Windows\SYSTEM32\ntdll.dll(0x00007FFED0410000) + 0x526B1 byte(s)
Press any key to continue . . .

The second launch:

venv "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\Scripts\Python.exe"
ROCm Toolkit 5.7 was found.
fatal: No names found, cannot describe anything.
Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug  1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Version: f2.0.1v1.10.1-1.10.1
Commit hash: 412c2d800dcae4cee8a7466a1e9128cfbbc5bf26
Using ZLUDA in C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\.zluda
You are using PyTorch below version 2.3. Some optimizations will be disabled.
Total VRAM 8192 MB, total RAM 16328 MB
pytorch version: 2.2.1+cu118
Set vram state to: NORMAL_VRAM
Device: cuda:0 AMD Radeon RX 580 2048SP [ZLUDA] : native
VAE dtype preferences: [torch.bfloat16, torch.float32] -> torch.bfloat16
Launching Web UI with arguments: --theme dark --zluda
CUDA Using Stream: False
Using pytorch cross attention
Using pytorch attention for VAE
ONNX: version=1.19.2 provider=CUDAExecutionProvider, available=['TensorrtExecutionProvider', 'CUDAExecutionProvider', 'CPUExecutionProvider']
==============================================================================
You are running torch 2.2.1+cu118.
The program is tested to work with torch 2.3.1.
To reinstall the desired version, run with commandline flag --reinstall-torch.
Beware that this will cause a lot of large files to be downloaded, as well as
there are reports of issues with training tab on the latest version.

Use --skip-version-check commandline argument to disable this check.
==============================================================================
ControlNet preprocessor location: C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\models\ControlNetPreprocessor
2024-09-20 11:29:07,281 - ControlNet - INFO - ControlNet UI callback registered.
Model selected: {'checkpoint_info': {'filename': 'C:\\Users\\user\\Desktop\\Stable Diffusion Forge\\stable-diffusion-webui-amdgpu-forge\\models\\Stable-diffusion\\epicrealism_pureEvolutionV3.safetensors', 'hash': '42c8440c'}, 'additional_modules': [], 'unet_storage_dtype': None}
Using online LoRAs in FP16: False
Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
Startup time: 19.8s (prepare environment: 7.4s, import torch: 6.5s, initialize shared: 1.4s, load scripts: 2.7s, create ui: 3.0s, gradio launch: 1.5s).
Environment vars changed: {'stream': False, 'inference_memory': 1024.0, 'pin_shared_memory': False}
[GPU Setting] You will use 87.50% GPU memory (7168.00 MB) to load weights, and use 12.50% GPU memory (1024.00 MB) to do matrix computation.
Loading Model: {'checkpoint_info': {'filename': 'C:\\Users\\user\\Desktop\\Stable Diffusion Forge\\stable-diffusion-webui-amdgpu-forge\\models\\Stable-diffusion\\epicrealism_pureEvolutionV3.safetensors', 'hash': '42c8440c'}, 'additional_modules': [], 'unet_storage_dtype': None}
[Unload] Trying to free all memory for cuda:0 with 0 models keep loaded ... Done.
StateDict Keys: {'unet': 686, 'vae': 248, 'text_encoder': 197, 'ignore': 0}
C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\transformers\tokenization_utils_base.py:1601: FutureWarning: `clean_up_tokenization_spaces` was not set. It will be set to `True` by default. This behavior will be depracted in transformers v4.45, and will be then set to `False` by default. For more details check this issue: https://github.com/huggingface/transformers/issues/31884
  warnings.warn(
Press any key to continue . . .

[TheFerumn]

AMD driver - 24.3.1 (I kind of installed the latest version and SD used to work for me, but after SD stopped working, installing the latest version or 24.3.1 did not help)

Have you tried to use AMD Pro Driver ? I feel like it has to be something with your driver since it can't load for you any model no matter which backend you use. The same happens on DirectML and ZLUDA. Torch version doesn't matter as well. It really feels like SD just can't access your memory for some reason. How about adding a lot of swap memory from your SSD drive and launching SD purely on CPU ? Will same thing happen ?

[Harbitos]

AMD driver - 24.3.1 (I kind of installed the latest version and SD used to work for me, but after SD stopped working, installing the latest version or 24.3.1 did not help)

Have you tried to use AMD Pro Driver ? I feel like it has to be something with your driver since it can't load for you any model no matter which backend you use. The same happens on DirectML and ZLUDA. Torch version doesn't matter as well. It really feels like SD just can't access your memory for some reason. How about adding a lot of swap memory from your SSD drive and launching SD purely on CPU ? Will same thing happen ?

Hoooray! At least now it shows an error! I remembered that I recently formatted one ssd drive and could not delete some files in it, so I removed the swap file for the disk, but probably somehow also removed the swap file for the system disk. Nothing bad has happened to my PC all the time, the screen has not gone out. In short, I turned on the swap for the system disk and my SD-forge probably worked! Installing the AMD Pro version, at startup SD-forge windows only gave me the error that it could not enter the hip... procedure. That's why I install AMD Adrenalin back on.

I had a bigger error, but I fixed it by adding the line to webui-user.bat : set CUDA_LAUNCH_BLOCKING=1.
It remains for me to solve this error: (screenshot)

It didn't help me but it was installed: pip3 install numpy --pre torch torchvision torchaudio --force-reinstall --index-url https://download.pytorch.org/whl/nightly/cu117

Attempt to write pip install torch==2.2.1 torchvision==0.17.1 --index-url https://download.pytorch.org/whl/cu118 led me to the fact that when I generate, it writes endlessly in the console "Compiling in progress, please wait..."
"Compiling in progress, please wait..."
"Compiling in progress, please wait..."
"Compiling in progress, please wait..."
"Compiling in progress, please wait..."

At that time, there were not many processes running on the PC, %temp% and the trash were cleared. Restarting the PC did not help.

venv "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\Scripts\Python.exe"
WARNING: ZLUDA works best with SD.Next. Please consider migrating to SD.Next.
fatal: No names found, cannot describe anything.
Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug  1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Version: f2.0.1v1.10.1-1.10.1
Commit hash: aa15a03a082d3dbf77a99ce231276188a969d007
Using ZLUDA in C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\.zluda
Launching Web UI with arguments: --theme dark --use-zluda --skip-version-check
Total VRAM 8192 MB, total RAM 16328 MB
pytorch version: 2.3.0+cu118
Set vram state to: NORMAL_VRAM
Device: cuda:0 AMD Radeon RX 580 2048SP [ZLUDA] : native
VAE dtype preferences: [torch.bfloat16, torch.float32] -> torch.bfloat16
CUDA Using Stream: False
Using pytorch cross attention
Using pytorch attention for VAE
ONNX: version=1.19.2 provider=CPUExecutionProvider, available=['TensorrtExecutionProvider', 'CUDAExecutionProvider', 'CPUExecutionProvider']
ZLUDA device failed to pass basic operation test: index=0, device_name=AMD Radeon RX 580 2048SP [ZLUDA]
CUDA error: out of memory
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.

ControlNet preprocessor location: C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\models\ControlNetPreprocessor
2024-09-20 18:18:43,411 - ControlNet - INFO - ControlNet UI callback registered.
Model selected: {'checkpoint_info': {'filename': 'C:\\Users\\user\\Desktop\\Stable Diffusion Forge\\stable-diffusion-webui-amdgpu-forge\\models\\Stable-diffusion\\epicrealism_pureEvolutionV3.safetensors', 'hash': '42c8440c'}, 'additional_modules': [], 'unet_storage_dtype': None}
Using online LoRAs in FP16: False
Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
Startup time: 21.1s (prepare environment: 1.2s, import torch: 10.9s, initialize shared: 1.4s, load scripts: 2.6s, create ui: 3.1s, gradio launch: 1.7s).
Environment vars changed: {'stream': False, 'inference_memory': 1024.0, 'pin_shared_memory': False}
[GPU Setting] You will use 87.50% GPU memory (7168.00 MB) to load weights, and use 12.50% GPU memory (1024.00 MB) to do matrix computation.
Exception in thread MemMon:
Traceback (most recent call last):
  File "C:\Users\user\AppData\Local\Programs\Python\Python310\lib\threading.py", line 1016, in _bootstrap_inner
    self.run()
  File "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\modules\memmon.py", line 43, in run
    torch.cuda.reset_peak_memory_stats()
  File "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\cuda\memory.py", line 309, in reset_peak_memory_stats
    return torch._C._cuda_resetPeakMemoryStats(device)
RuntimeError: invalid argument to reset_peak_memory_stats
Loading Model: {'checkpoint_info': {'filename': 'C:\\Users\\user\\Desktop\\Stable Diffusion Forge\\stable-diffusion-webui-amdgpu-forge\\models\\Stable-diffusion\\epicrealism_pureEvolutionV3.safetensors', 'hash': '42c8440c'}, 'additional_modules': [], 'unet_storage_dtype': None}
[Unload] Trying to free all memory for cuda:0 with 0 models keep loaded ... Done.
StateDict Keys: {'unet': 686, 'vae': 248, 'text_encoder': 197, 'ignore': 0}
C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\transformers\tokenization_utils_base.py:1601: FutureWarning: `clean_up_tokenization_spaces` was not set. It will be set to `True` by default. This behavior will be depracted in transformers v4.45, and will be then set to `False` by default. For more details check this issue: https://github.com/huggingface/transformers/issues/31884
  warnings.warn(
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
K-Model Created: {'storage_dtype': torch.float16, 'computation_dtype': torch.float16}
Model loaded in 1.3s (unload existing model: 0.3s, forge model load: 1.1s).
[Unload] Trying to free 1329.14 MB for cuda:0 with 0 models keep loaded ... Done.
[Memory Management] Target: JointTextEncoder, Free GPU: 7347.70 MB, Model Require: 234.72 MB, Previously Loaded: 0.00 MB, Inference Require: 1024.00 MB, Remaining: 6088.98 MB, All loaded to GPU.
Moving model(s) has taken 0.19 seconds
Traceback (most recent call last):
  File "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\modules_forge\main_thread.py", line 30, in work
    self.result = self.func(*self.args, **self.kwargs)
  File "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\modules\txt2img.py", line 123, in txt2img_function
    processed = processing.process_images(p)
  File "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\modules\processing.py", line 818, in process_images
    res = process_images_inner(p)
  File "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\modules\processing.py", line 1023, in process_images_inner
    p.setup_conds()
  File "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\modules\processing.py", line 1619, in setup_conds
    super().setup_conds()
  File "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\modules\processing.py", line 501, in setup_conds
    self.uc = self.get_conds_with_caching(prompt_parser.get_learned_conditioning, negative_prompts, total_steps, [self.cached_uc], self.extra_network_data)
  File "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\modules\processing.py", line 472, in get_conds_with_caching
    cache[1] = function(shared.sd_model, required_prompts, steps, hires_steps, shared.opts.use_old_scheduling)
  File "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\modules\prompt_parser.py", line 189, in get_learned_conditioning
    conds = model.get_learned_conditioning(texts)
  File "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\backend\diffusion_engine\sd15.py", line 63, in get_learned_conditioning
    cond = self.text_processing_engine(prompt)
  File "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\backend\text_processing\classic_engine.py", line 268, in __call__
    z = self.process_tokens(tokens, multipliers)
  File "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\backend\text_processing\classic_engine.py", line 301, in process_tokens
    z = self.encode_with_transformers(tokens)
  File "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\backend\text_processing\classic_engine.py", line 126, in encode_with_transformers
    self.text_encoder.transformer.text_model.embeddings.position_embedding = self.text_encoder.transformer.text_model.embeddings.position_embedding.to(dtype=torch.float32)
  File "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\nn\modules\module.py", line 1173, in to
    return self._apply(convert)
  File "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\nn\modules\module.py", line 804, in _apply
    param_applied = fn(param)
  File "C:\Users\user\Desktop\Stable Diffusion Forge\stable-diffusion-webui-amdgpu-forge\venv\lib\site-packages\torch\nn\modules\module.py", line 1159, in convert
    return t.to(
RuntimeError: CUDA error: out of memory
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.

CUDA error: out of memory
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.