新人求教,使用IP-..自顶~RuntimeError: CUDA error: device-side assert triggered CUDA kernel errors might be asynchronously
遇到RuntimeError: CUDA error: invalid configuration argument 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 asserti...
遇到RuntimeError: CUDA error: invalid configuration argument 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 asserti...
Some times I succeded generating the images (not the gif) continuing to free the cuda cache (as suggestedhere), but now I can no more, I don't know why. Free cuda cache I opened cmd again and usedstable-diffusion-webui\venv\Scripts\activate.bat, than I run the script: ...
RuntimeError: CUDA error: invalid configuration argument 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 withTORCH_USE_CUDA_DSAto enable device-side assertions. ...
2023/11/10:v1.12.0:AnimateDiff for SDXLsupported. SeeSDXLfor more information. You need to add--disable-safe-unpickleto your command line arguments to get rid of the bad file error. 2023/11/16:v1.12.1: FP8 precision and LCM sampler supported. SeeOptimizationsfor more information. You ca...
1.挂载上面列出的全部数据(3个)+镜像(pytorch 3.8 cuda 11.3)+模型 2.unzip /gemini/data-1/stable-diffusion-webui-nvidia.zip -d /gemini/code 3.马上保存镜像,完成之后关闭docker重新打开机器之后不要按照B站的教程做了,因为有些东西失效了。针对失效的部分,下面给出解决方法 ...
用秋叶大佬整合包得,遇到RuntimeError: CUDA error: invalid configuration了。在启动器-》高级选项-》cross attention优化方案-》改为“自动”就好了 2023-11-12 20:17125回复 BUYAO捏感谢 2023-11-14 19:213回复 白鹭扶风感谢 2023-11-19 11:50回复 共10条回复, 点击查看 Dubai终于有硬币改名了 视频简介...
显卡是2080ti的 cuda更新到12 秋叶包版本16.0 animatediff刚开始遇到的问题是:报错RuntimeError: CUDA error: an illegal instruction was encountered,然后我根据网上方法修改了启动项-高级选项-优化方案到{自动(推荐)}就没有报错了,但是渲染依然很慢,1000x600的图,一秒要渲染起码3小时,这跟别人的差距也太大了。
cuda() return gr.Dropdown.update() def update_motion_module(self, motion_module_dropdown): if self.unet is None: gr.Info(f"Please select a pretrained model path.") return gr.Dropdown.update(value=None) else: motion_module_dropdown = os.path.join(self.motion_module_dir, ...