stable-diffusion-webui [Bug]: OutOfMemoryError: CUDA out of memory.

Is there an existing issue for this?

[X] I have searched the existing issues and checked the recent builds/commits

What happened?

Occurs when the generation function is used a second time,

Steps to reproduce the problem

click run server
upload pic
use txt 2 pic
try aigan or any opera

What should have happened?

I checked that the video memory of my computer is sufficient and not exhausted. Secondly, 3g has been used as mentioned above, and it did not appear until the second time. Did I not release the video memory in time? Is there a video memory leak? How do you release video memory?

Commit where the problem happens

latest

What platforms do you use to access the UI ?

Windows

What browsers do you use to access the UI ?

Google Chrome

Command Line Arguments

nNo ,just click webui.bat

List of extensions

扩展插件	网址	版本	更新
sd-webui-controlnet	https://github.com/Mikubill/sd-webui-controlnet.git	de8fdeff (Sat Mar 18 16:12:14 2023)	未知
stable-diffusion-webui-chinese	https://github.com/VinsonLaro/stable-diffusion-webui-chinese	71b7f512 (Sun Mar 5 18:11:02 2023)	未知
LDSR	built-in
低秩微调模型(LoRA)	built-in
ScuNET	built-in
SwinIR	built-in
prompt-bracket-checker	built-in

扩展插件网址版本更新 sd-webui-controlnet https://github.com/Mikubill/sd-webui-controlnet.git de8fdeff (Sat Mar 18 16:12:14 2023) 未知 stable-diffusion-webui-chinese https://github.com/VinsonLaro/stable-diffusion-webui-chinese 71b7f512 (Sun Mar 5 18:11:02 2023) 未知 LDSR [built-in](http://127.0.0.1:7860/) 低秩微调模型(LoRA) [built-in](http://127.0.0.1:7860/) ScuNET [built-in](http://127.0.0.1:7860/) SwinIR [built-in](http://127.0.0.1:7860/) prompt-bracket-checker [built-in](http://127.0.0.1:7860/)

Console logs

File "D:\dev\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\external.py", line 112, in forward
    eps = self.get_eps(input * c_in, self.sigma_to_t(sigma), **kwargs)
  File "D:\dev\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\external.py", line 138, in get_eps
    return self.inner_model.apply_model(*args, **kwargs)
  File "D:\dev\stable-diffusion-webui\modules\sd_hijack_utils.py", line 17, in <lambda>
    setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))
  File "D:\dev\stable-diffusion-webui\modules\sd_hijack_utils.py", line 28, in __call__
    return self.__orig_func(*args, **kwargs)
  File "D:\dev\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 858, in apply_model
    x_recon = self.model(x_noisy, t, **cond)
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "D:\dev\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 1329, in forward
    out = self.diffusion_model(x, t, context=cc)
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "D:\dev\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py", line 776, in forward
    h = module(h, emb, context)
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "D:\dev\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py", line 84, in forward
    x = layer(x, context)
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "D:\dev\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\attention.py", line 324, in forward
    x = block(x, context=context[i])
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "D:\dev\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\attention.py", line 259, in forward
    return checkpoint(self._forward, (x, context), self.parameters(), self.checkpoint)
  File "D:\dev\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\util.py", line 114, in checkpoint
    return CheckpointFunction.apply(func, len(inputs), *args)
  File "D:\dev\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\util.py", line 129, in forward
    output_tensors = ctx.run_function(*ctx.input_tensors)
  File "D:\dev\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\attention.py", line 262, in _forward
    x = self.attn1(self.norm1(x), context=context if self.disable_self_attn else None) + x
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "D:\dev\stable-diffusion-webui\modules\sd_hijack_optimizations.py", line 121, in split_cross_attention_forward
    raise RuntimeError(f'Not enough memory, use lower resolution (max approx. {max_res}x{max_res}). '
RuntimeError: Not enough memory, use lower resolution (max approx. 320x320). Need: 0.0GB free, Have:0.0GB free

Error completing request
Arguments: ('task(cee3o6nwfpgidat)', 0, 'girl fuck boy', 'broke a finger,ugly,duplicate,morbid,mutilated,tranny, trans, trannsexual,hermaphrodite,extra fingers,fused fingers,too many fingers,long neck,mutated hands,poorly drawn hands,poorly drawn face,mutation,deformed,blurry,bad anatomy,bad proportions,malformed limbs,extra limbs,cloned face,disfigured,more than 2 nipples,gross proportions,missing arms,missing legs,extra arms,extra legs,artist name,jpeg artifacts', [], <PIL.Image.Image image mode=RGBA size=864x1920 at 0x2468083DB70>, None, None, None, None, None, None, 20, 0, 4, 0, 1, False, False, 1, 1, 7, 1.5, 0.75, -1.0, -1.0, 0, 0, 0, False, 512, 512, 0, 0, 32, 0, '', '', '', [], 0, <scripts.external_code.ControlNetUnit object at 0x000002466DAB3220>, '<ul>\n<li><code>CFG Scale</code> should be 2 or lower.</li>\n</ul>\n', True, True, '', '', True, 50, True, 1, 0, False, 4, 1, 'None', '<p style="margin-bottom:0.75em">Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8</p>', 128, 8, ['left', 'right', 'up', 'down'], 1, 0.05, 128, 4, 0, ['left', 'right', 'up', 'down'], False, False, 'positive', 'comma', 0, False, False, '', '<p style="margin-bottom:0.75em">Will upscale the image by the selected scale factor; use width and height sliders to set tile size</p>', 64, 0, 2, 1, '', 0, '', 0, '', True, False, False, False, 0, None, False, 50) {}
Traceback (most recent call last):
  File "D:\dev\stable-diffusion-webui\modules\call_queue.py", line 56, in f
    res = list(func(*args, **kwargs))
  File "D:\dev\stable-diffusion-webui\modules\call_queue.py", line 37, in f
    res = func(*args, **kwargs)
  File "D:\dev\stable-diffusion-webui\modules\img2img.py", line 171, in img2img
    processed = process_images(p)
  File "D:\dev\stable-diffusion-webui\modules\processing.py", line 486, in process_images
    res = process_images_inner(p)
  File "D:\dev\stable-diffusion-webui\modules\processing.py", line 577, in process_images_inner
    p.init(p.all_prompts, p.all_seeds, p.all_subseeds)
  File "D:\dev\stable-diffusion-webui\modules\processing.py", line 1023, in init
    self.init_latent = self.sd_model.get_first_stage_encoding(self.sd_model.encode_first_stage(image))
  File "D:\dev\stable-diffusion-webui\modules\sd_hijack_utils.py", line 17, in <lambda>
    setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))
  File "D:\dev\stable-diffusion-webui\modules\sd_hijack_utils.py", line 28, in __call__
    return self.__orig_func(*args, **kwargs)
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "D:\dev\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 830, in encode_first_stage
    return self.first_stage_model.encode(x)
  File "D:\dev\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\autoencoder.py", line 83, in encode
    h = self.encoder(x)
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "D:\dev\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\model.py", line 526, in forward
    h = self.down[i_level].block[i_block](hs[-1], temb)
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "D:\dev\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\model.py", line 138, in forward
    h = self.norm2(h)
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\normalization.py", line 273, in forward
    return F.group_norm(
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\torch\nn\functional.py", line 2528, in group_norm
    return torch.group_norm(input, num_groups, weight, bias, eps, torch.backends.cudnn.enabled)
torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 128.00 MiB (GPU 0; 3.00 GiB total capacity; 2.34 GiB already allocated; 0 bytes free; 2.47 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.  See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF

Error completing request
Arguments: ('task(l8pvkchsw1iu1xd)', 0, 'girl fuck boy', 'broke a finger,ugly,duplicate,morbid,mutilated,tranny, trans, trannsexual,hermaphrodite,extra fingers,fused fingers,too many fingers,long neck,mutated hands,poorly drawn hands,poorly drawn face,mutation,deformed,blurry,bad anatomy,bad proportions,malformed limbs,extra limbs,cloned face,disfigured,more than 2 nipples,gross proportions,missing arms,missing legs,extra arms,extra legs,artist name,jpeg artifacts', [], <PIL.Image.Image image mode=RGBA size=864x1920 at 0x2468083C340>, None, None, None, None, None, None, 20, 0, 4, 0, 1, False, False, 1, 1, 7, 1.5, 0.75, -1.0, -1.0, 0, 0, 0, False, 512, 512, 0, 0, 32, 0, '', '', '', [], 0, <scripts.external_code.ControlNetUnit object at 0x000002466DAB3220>, '<ul>\n<li><code>CFG Scale</code> should be 2 or lower.</li>\n</ul>\n', True, True, '', '', True, 50, True, 1, 0, False, 4, 1, 'None', '<p style="margin-bottom:0.75em">Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8</p>', 128, 8, ['left', 'right', 'up', 'down'], 1, 0.05, 128, 4, 0, ['left', 'right', 'up', 'down'], False, False, 'positive', 'comma', 0, False, False, '', '<p style="margin-bottom:0.75em">Will upscale the image by the selected scale factor; use width and height sliders to set tile size</p>', 64, 0, 2, 1, '', 0, '', 0, '', True, False, False, False, 0, None, False, 50) {}
Traceback (most recent call last):
  File "D:\dev\stable-diffusion-webui\modules\call_queue.py", line 56, in f
    res = list(func(*args, **kwargs))
  File "D:\dev\stable-diffusion-webui\modules\call_queue.py", line 37, in f
    res = func(*args, **kwargs)
  File "D:\dev\stable-diffusion-webui\modules\img2img.py", line 171, in img2img
    processed = process_images(p)
  File "D:\dev\stable-diffusion-webui\modules\processing.py", line 486, in process_images
    res = process_images_inner(p)
  File "D:\dev\stable-diffusion-webui\modules\processing.py", line 577, in process_images_inner
    p.init(p.all_prompts, p.all_seeds, p.all_subseeds)
  File "D:\dev\stable-diffusion-webui\modules\processing.py", line 1023, in init
    self.init_latent = self.sd_model.get_first_stage_encoding(self.sd_model.encode_first_stage(image))
  File "D:\dev\stable-diffusion-webui\modules\sd_hijack_utils.py", line 17, in <lambda>
    setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))
  File "D:\dev\stable-diffusion-webui\modules\sd_hijack_utils.py", line 28, in __call__
    return self.__orig_func(*args, **kwargs)
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "D:\dev\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 830, in encode_first_stage
    return self.first_stage_model.encode(x)
  File "D:\dev\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\autoencoder.py", line 83, in encode
    h = self.encoder(x)
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "D:\dev\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\model.py", line 526, in forward
    h = self.down[i_level].block[i_block](hs[-1], temb)
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "D:\dev\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\model.py", line 138, in forward
    h = self.norm2(h)
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\normalization.py", line 273, in forward
    return F.group_norm(
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\torch\nn\functional.py", line 2528, in group_norm
    return torch.group_norm(input, num_groups, weight, bias, eps, torch.backends.cudnn.enabled)
torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 128.00 MiB (GPU 0; 3.00 GiB total capacity; 2.34 GiB already allocated; 0 bytes free; 2.47 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.  See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF

Traceback (most recent call last):
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\gradio\routes.py", line 337, in run_predict
    output = await app.get_blocks().process_api(
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 1013, in process_api
    inputs = self.preprocess_data(fn_index, inputs, state)
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 911, in preprocess_data
    processed_input.append(block.preprocess(inputs[i]))
IndexError: list index out of range
ERROR:    Exception in ASGI application
Traceback (most recent call last):
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\uvicorn\protocols\http\h11_impl.py", line 429, in run_asgi
    result = await app(  # type: ignore[func-returns-value]
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\uvicorn\middleware\proxy_headers.py", line 78, in __call__
    return await self.app(scope, receive, send)
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\fastapi\applications.py", line 273, in __call__
    await super().__call__(scope, receive, send)
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\starlette\applications.py", line 122, in __call__
    await self.middleware_stack(scope, receive, send)
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\starlette\middleware\errors.py", line 184, in __call__
    raise exc
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\starlette\middleware\errors.py", line 162, in __call__
    await self.app(scope, receive, _send)
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\starlette\middleware\gzip.py", line 24, in __call__
    await responder(scope, receive, send)
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\starlette\middleware\gzip.py", line 44, in __call__
    await self.app(scope, receive, self.send_with_gzip)
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\starlette\middleware\exceptions.py", line 79, in __call__
    raise exc
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\starlette\middleware\exceptions.py", line 68, in __call__
    await self.app(scope, receive, sender)
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\fastapi\middleware\asyncexitstack.py", line 21, in __call__
    raise e
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\fastapi\middleware\asyncexitstack.py", line 18, in __call__
    await self.app(scope, receive, send)
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\starlette\routing.py", line 718, in __call__
    await route.handle(scope, receive, send)
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\starlette\routing.py", line 276, in handle
    await self.app(scope, receive, send)
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\starlette\routing.py", line 66, in app
    response = await func(request)
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\fastapi\routing.py", line 237, in app
    raw_response = await run_endpoint_function(
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\fastapi\routing.py", line 163, in run_endpoint_function
    return await dependant.call(**values)
  File "D:\dev\stable-diffusion-webui\venv\lib\site-packages\gradio\routes.py", line 402, in predict
    if app.get_blocks().dependencies[fn_index_inferred]["cancels"]:
IndexError: list index out of range



### Additional information

No

Mar 19 '23 14:03 lozn00

--------[ 鲁大师 ]----------------------------------------------------------------------------------

软件：鲁大师 6.1022.3375.630 时间： 2023-03-19 22:02:18 软件： http://www.ludashi.com

--------[ 概览 ]----------------------------------------------------------------------------------

电脑型号 HUANANZHI 台式电脑操作系统 Windows 10 专业版精简版 64位（Version 21H2 / DirectX 12）

处理器英特尔 Xeon(至强) E5-2660 v2 @ 2.20GHz 主板 HUANANZHI X79 (INTEL Xeon E5/Corei7 DMI2 - C600/C200 Cipset（Q67 芯片组）显卡 NVIDIA GeForce GTX 1060 3GB ( 3 GB / NVIDIA ) 内存 64 GB ( 三星 DDR3L 1333MHz 16GB x 2 / 三星 DDR3L 1600MHz 16GB x 2 ) 主硬盘三星 SSD 870 QVO 1TB (1 TB / 固态硬盘) 显示器 KIG2380 K24DJ ( 23.8 英寸 ) 声卡 GeneralPlus USB Audio Device 网卡瑞昱 RTL8168/8111/8112 Gigabit Ethernet Controller

--------[ 主板 ]----------------------------------------------------------------------------------

主板型号 HUANANZHI X79 (INTEL Xeon E5/Corei7 DMI2 - C600/C200 Cipset 芯片组 Q67 芯片组序列号 HNZ-202111152021 主板版本 V3.3 BIOS 安迈 Inc. 4.6.5 / BIOS程序发布日期: 11/15/2021 BIOS的大小 6144 KB

板载设备视频设备 (启用)

--------[ 处理器 ]----------------------------------------------------------------------------------

处理器英特尔 Xeon(至强) E5-2660 v2 @ 2.20GHz 速度 2.20 GHz 处理器数量核心数：10 / 线程数：20 核心代号 Ivy Bridge E 生产工艺 22 纳米插槽/插座 Socket R (LGA 2011) 一级数据缓存 10 x 32 KB, 8-Way, 64 byte lines 一级代码缓存 10 x 32 KB, 8-Way, 64 byte lines 二级缓存 10 x 256 KB, 8-Way, 64 byte lines 三级缓存 25 MB, 20-Way, 64 byte lines 特征 MMX, SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, HTT, EM64T, EIST, Turbo Boost

--------[ 硬盘 ]----------------------------------------------------------------------------------

产品三星 SSD 870 QVO 1TB (固态硬盘) 大小 1 TB 固件 SVQ02B6Q 接口 SATA III 数据传输率 600 MB/秒特性 S.M.A.R.T, 48-bit LBA, NCQ 硬盘已使用共 328 次，累计 1307 小时

产品西数 WD10EZEX-08WN4A0 大小 1 TB 固件 05.00H.4 缓存 64 MB 接口 SATA III 数据传输率 600.00 MB/秒特性 S.M.A.R.T, APM, 48-bit LBA, NCQ 硬盘已使用共 80 次，累计 337 小时转速 7200 转/分

产品西数 WD5000AAKX-08U6AA0 (蓝盘) 大小 500 GB 固件 05.0AG.3 缓存 16 MB 接口 SATA III 数据传输率 600.00 MB/秒特性 S.M.A.R.T, 48-bit LBA, NCQ 硬盘已使用共 175 次，累计 724 小时转速 7200 转/分

--------[ 内存 ]----------------------------------------------------------------------------------

Node0_Dimm0 三星 DDR3L 1333MHz 16GB 制造日期 2012 年 27 周型号 M393B2G70BH0-YH9 序列号 83D520D5 厂商 SAMSUNG 模块电压 SSTL 1.35V

Node0_Dimm2 三星 DDR3L 1600MHz 16GB 制造日期 2015 年 13 周型号 M393B2G70DB0-YK0 序列号 71D41F51 厂商 SAMSUNG 模块电压 SSTL 1.35V

Node0_Dimm4 三星 DDR3L 1333MHz 16GB 制造日期 2012 年 27 周型号 M393B2G70BH0-YH9 序列号 83D520DE 厂商 SAMSUNG 模块电压 SSTL 1.35V

Node0_Dimm6 三星 DDR3L 1600MHz 16GB 制造日期 2015 年 13 周型号 M393B2G70DB0-YK0 序列号 71D41ED6 厂商 SAMSUNG 模块电压 SSTL 1.35V

--------[ 显卡 ]----------------------------------------------------------------------------------

主显卡 NVIDIA GeForce GTX 1060 3GB 显存 3 GB 频率核心: 1518MHz / 显存: 2002MHz 显卡制造商 NVIDIA 芯片制造商 Nvidia BIOS版本 86.04.54.00.55 驱动版本 31.0.15.1694 驱动日期 20220721

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产品 KIG2380 K24DJ 固件程序日期 2021 年 32 周屏幕尺寸 23.8 英寸 (527 毫米 x 296 毫米) 分辨率 1920 x 1080 32 位真彩色 Gamma 2.20 电源管理 Active-Off

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网卡 Realtek PCIe GbE Family Controller

声卡 GeneralPlus USB Audio Device

声卡英特尔 6 Series Chipset HD Audio Controller

声卡 NVIDIA @ NVIDIA High Definition Audio 控制器

键盘 HID 标准键盘键盘 HID 标准键盘鼠标 HID-compliant 鼠标鼠标 HID-compliant 鼠标鼠标 HID-compliant 鼠标

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CPU温度 26℃ CPU核心 37℃ CPU封装 37℃ 显卡 31℃ 硬盘温度 40℃

Mar 19 '23 14:03 lozn00

NVIDIA GeForce GTX 1060 3GB ( 3 GB / NVIDIA )

Mar 19 '23 14:03 lozn00

this is better suited for discussions than issues. you have very low vram (3gb) and not using any of optimizations? and no cross-attention as well? no mention of torch version. and the issue text is amazingly bad - 99% is blank or irrelevant.

Mar 19 '23 16:03 vladmandic

Have you tried any of this options: Optimizations

Mar 19 '23 17:03 drax-xard

This does not belong in GitHub Issues. Just learn some basics of how to use WebUI properly, particularly to use flags such as --lowvram and --xformers because your GPU's VRAM is very low. Also, consider buying a better GPU.

Mar 19 '23 18:03 TernaryM01

Try generating 512x512 with these parameters --lowvram --xformers --always-batch-cond-uncond

Mar 19 '23 23:03 elen07zz

thank you @drax-xard @elen07zz @TernaryM01 I try these methods at home at night

Mar 20 '23 00:03 lozn00

report : RTX 3080(10GB) OutOfMemoryError: CUDA out of memory. Tried to allocate 31.29 GiB (GPU 0; 9.77 GiB total capacity; 4.33 GiB already allocated; 3.99 GiB free; 4.45 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF

Mar 20 '23 05:03 Akimotorakiyu

stable-diffusion-webui stable-diffusion-webui copied to clipboard

[Bug]: OutOfMemoryError: CUDA out of memory.

Is there an existing issue for this?

What happened?

Steps to reproduce the problem

What should have happened?

Commit where the problem happens

What platforms do you use to access the UI ?

What browsers do you use to access the UI ?

Command Line Arguments

List of extensions

Console logs

stable-diffusion-webui
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