haoqiangyu

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Refer to https://github.com/comfyanonymous/ComfyUI/issues/940 to use --disable-cuda-malloc

百度网盘:https://pan.baidu.com/s/1ESyW6ep722tD1PrkAhXPiA?pwd=5ys5  提取码:5ys5

> 使用Windows一键启动包 ,填写了 Pexels API Key 报错, 麻烦您帮忙看看哪里不对。翻墙,不翻墙都已试过,还是报错。 > ![1](https://github.com/harry0703/MoneyPrinterTurbo/assets/165628894/932f2820-a60d-443b-b666-2487b52d7845) > ![2](https://github.com/harry0703/MoneyPrinterTurbo/assets/165628894/ed05c1e6-e706-457d-9b9b-8275c0e82071) > 少了个方括号

@SingingDalong You can use llm on different platforms by modifying `llm_provider` and filling in the corresponding API key. ![image](https://github.com/harry0703/MoneyPrinterTurbo/assets/38414214/8a6d38cb-5727-48ef-8f54-0fe9646df500)

Google Drive: https://drive.google.com/file/d/1FWUHRLrRFh1HmiMJl_3cLjjibt0hA9AL/view?usp=sharing @yapthatsme

@1060404996 https://zhuanlan.zhihu.com/p/686161924 系统问题,参考下这些解决方案

@yclwk 应该是权限问题 参考 https://blog.csdn.net/shaylo/article/details/125719378

> Here we go: [#1606 (comment)](https://github.com/huggingface/diffusers/issues/1606#issuecomment-1346667389) ;-) I don't think this guarantees the thread safety of the pipeline

> > Here we go: [#1606 (comment)](https://github.com/huggingface/diffusers/issues/1606#issuecomment-1346667389) ;-) > > I don't think this guarantees the thread safety of the pipeline If you use pytorch2.0.0 and above, it will cause...

![image](https://github.com/comfyanonymous/ComfyUI/assets/38414214/9953b2e2-e2eb-4ef4-acdb-4cb5b92e246e) The lower version of the Nvidia driver cannot use cudaMallocAsync. It is also necessary to check the driver version before using it.