Yoinky3000
commented
1 year ago the error log:
14:42:40-799578 ERROR gradio call: RuntimeError
╭──────────────────────────── Traceback (most recent call last) ─────────────────────────────╮
│ C:\Vlad-SD\modules\call_queue.py:34 in f │
│ │
│ 33 │ │ │ try: │
│ ❱ 34 │ │ │ │ res = func(*args, **kwargs) │
│ 35 │ │ │ │ progress.record_results(id_task, res) │
│ │
│ C:\Vlad-SD\modules\txt2img.py:65 in txt2img │
│ │
│ 64 │ if processed is None: │
│ ❱ 65 │ │ processed = processing.process_images(p) │
│ 66 │ p.close() │
│ │
│ ... 13 frames hidden ... │
│ │
│ C:\Vlad-SD\venv\lib\site-packages\torch\nn\modules\module.py:1501 in _call_impl │
│ │
│ 1500 │ │ │ │ or _global_forward_hooks or _global_forward_pre_hooks): │
│ ❱ 1501 │ │ │ return forward_call(*args, **kwargs) │
│ 1502 │ │ # Do not call functions when jit is used │
│ │
│ C:\Vlad-SD\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\model.p │
│ y:149 in forward │
│ │
│ 148 │ │ │
│ ❱ 149 │ │ return x+h │
│ 150 │
╰────────────────────────────────────────────────────────────────────────────────────────────╯
RuntimeError: 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.
Traceback (most recent call last):
File "C:\Vlad-SD\venv\lib\site-packages\gradio\routes.py", line 422, in run_predict
output = await app.get_blocks().process_api(
File "C:\Vlad-SD\venv\lib\site-packages\gradio\blocks.py", line 1323, in process_api
result = await self.call_function(
File "C:\Vlad-SD\venv\lib\site-packages\gradio\blocks.py", line 1051, in call_function
prediction = await anyio.to_thread.run_sync(
File "C:\Vlad-SD\venv\lib\site-packages\anyio\to_thread.py", line 33, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
File "C:\Vlad-SD\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 877, in run_sync_in_worker_thread
return await future
File "C:\Vlad-SD\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 807, in run
result = context.run(func, *args)
File "C:\Vlad-SD\modules\call_queue.py", line 90, in f
mem_stats = {k: -(v//-(1024*1024)) for k, v in shared.mem_mon.stop().items()}
File "C:\Vlad-SD\modules\memmon.py", line 73, in stop
return self.read()
File "C:\Vlad-SD\modules\memmon.py", line 57, in read
free, total = self.cuda_mem_get_info()
File "C:\Vlad-SD\modules\memmon.py", line 34, in cuda_mem_get_info
return torch.cuda.mem_get_info(index)
File "C:\Vlad-SD\venv\lib\site-packages\torch\cuda\memory.py", line 618, in mem_get_info
return torch.cuda.cudart().cudaMemGetInfo(device)
RuntimeError: 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.
vladmandic
Issue Description
It always throw OOM error at the 2nd generation that with second pass, it works fine for 1st generation with second pass/any generation without second pass
I have 8gb dedicated vram and 16gb share vram for the 1st gen with second pass, it used all Dvram and 3gb Svram when switching to second pass, and it used all Dvram and 10gb Svram during output second pass img for the 2nd gen with second pass, it used all Dvram and 10gb Svram when switching, and it used all Dvram and 14.3gb Svram before it throw OOM during output
The extension it installed are all by default and i didnt use any of them to generate img
Version Platform Description
13:08:28-714292 INFO Starting SD.Next 13:08:28-721854 INFO Python 3.10.11 on Windows 13:08:28-754906 INFO Version: 511a8cbb Fri Jul 21 15:04:27 2023 -0400 13:08:29-281182 INFO nVidia CUDA toolkit detected 13:08:29-406125 INFO Verifying requirements 13:08:29-430207 INFO Verifying packages 13:08:29-432755 INFO Verifying repositories 13:08:33-853746 INFO Verifying submodules 13:09:21-188882 INFO Extensions enabled: ['a1111-sd-webui-lycoris', 'clip-interrogator-ext', 'LDSR', 'Lora', 'multidiffusion-upscaler-for-automatic1111', 'ScuNET', 'sd-dynamic-thresholding', 'sd-extension-system-info', 'sd-webui-agent-scheduler', 'sd-webui-controlnet', 'stable-diffusion-webui-images-browser', 'stable-diffusion-webui-rembg', 'SwinIR'] 13:09:21-189780 INFO Verifying packages 13:09:21-193352 INFO Updating Wiki 13:09:22-143088 INFO Extension preload: 0.0s C:\Vlad-SD\extensions-builtin 13:09:22-145088 INFO Extension preload: 0.0s C:\Vlad-SD\extensions 13:09:22-176777 INFO Server arguments: ['--insecure', '--medvram', '--upgrade', '--disable-console-progressbars', '--listen'] No module 'xformers'. Proceeding without it. 13:09:30-854304 INFO Pipeline: Backend.ORIGINAL 13:09:32-567832 INFO Libraries loaded
OS: Windows 11 Home x86_64 Browser: MS Edge
Relevant log output
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