网站不能登录了，修复。

账号无法登录

谢谢分享

谢谢分享

找到了，从百度网盘重新下载了安装包。发现没有之前那个从夸克网盘下载的包的问题。这个只显示端口被占用，结束端口占用的那个软件就能用了

好

感谢分享！

谢谢分享

谢谢分享

非常感谢

谢谢

360。。。我们公司常出问题的电脑都是用这个玩意的，我电脑上不允许出现一点360的

6666

需要评论

谢谢分享

如果支持下载抖音，视频号就好了

请问下，这个软件可以批量换脸嘛？

期待老大来个版本比较新的HitPaw Video Enhancer，非常感谢。

没有。我也奇怪。下的图片估计都成千上万张了，还是打不开这软件

你修改过代码？

Traceback (most recent call last): File "server.py", line 100, in <module> File "server.py", line 30, in load_image_data File "D:\c-pic1.0\jian27\lib\json\__init__.py", line 293, in load return loads(fp.read(), File "D:\c-pic1.0\jian27\lib\json\__init__.py", line 346, in loads return _default_decoder.decode(s) File "D:\c-pic1.0\jian27\lib\json\decoder.py", line 337, in decode obj, end = self.raw_decode(s, idx=_w(s, 0).end()) File "D:\c-pic1.0\jian27\lib\json\decoder.py", line 355, in raw_decode raise JSONDecodeError("Expecting value", s, err.value) from None json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) Press any key to continue . . . 还是不行，现在下到六百兆了。打开黑色窗口显示以上代码。 网页还是{ "detail": "Not Found" } 。刷新好几遍,VPN关着的

仔细看视频教程

已更新

不想下了，关掉黑色窗口，重新打开启动web服务.bat

这个软件压缩包50兆，我现在断断续续的下载图片下到500兆。太慢了还没下完，不能用

选择的run-cuda.bat运行 进去后勾选cuda 启动后却是CPU100%在跑 显卡动都不动 咋回事啊 显卡是1660TI

OK的，换个视频可以了，谢谢

good

更新3.3.3了

因为你没有下载图片啊，你要先点那个下载图片，等下载了一定的图片 才启动网页那个

{ "detail": "Not Found" } 网页只有这个是怎么回事？

{ "detail": "Not Found" } 打开后显示这个是怎么回事？

之前有用過3.0覺得不錯，希望能下載到新版本, 謝謝大佬

谢谢分享

之前好像有分享我忘了

xxxxfx谢谢分享

谢谢大佬分享

有没有ai对口型的工具

qiangda a !!!

已经修正，并更新了版本

迅雷下载链接是百度网盘地址

这下不用再下载360了！

6666

一直在更新，牛

谢谢

有

站长非常用心，

发个蓝凑

这个最大的优势是下载youtube，下载b站 用其他

学习一下

软件不好用，试下载B站的视频，半天都解析不了。直接删除软件

感谢分享

感谢分享！下载来试试看是否好用。

很好很好谢谢

很好很好.謝謝分享

大佬，为什么我怎么调试生成的图片画质都很差呢？

换个视频试试

--------更多AI工具，开源免费软件 请前往 https://www.jian27.com-------- 请关注我的微信公众号 剑二十七 Q群 132143631 D:\1\roop_unleashed4.3.1-A\jian27\lib\site-packages\albumentations\__init__.py:13: UserWarning: A new version of Albumentations is available: 1.4.21 (you have 1.4.17). Upgrade using: pip install -U albumentations. To disable automatic update checks, set the environment variable NO_ALBUMENTATIONS_UPDATE to 1. check_for_updates() Using provider ['DmlExecutionProvider'] - Device:cpu D:\1\roop_unleashed4.3.1-A\jian27\lib\site-packages\gradio\blocks.py:982: UserWarning: Cannot load gradio/monochrome. Caught Exception: module 'huggingface_hub.utils' has no attribute '_errors' warnings.warn(f"Cannot load {theme}. Caught Exception: {str(e)}") Running on local URL: http://127.0.0.1:7860 To create a public link, set `share=True` in `launch()`. [mov,mp4,m4a,3gp,3g2,mj2 @ 00000222264b4700] moov atom not found [mov,mp4,m4a,3gp,3g2,mj2 @ 000002222648bc80] moov atom not found [mov,mp4,m4a,3gp,3g2,mj2 @ 000002222648bc80] moov atom not found 你好，这是什么情况啊，驱动，运行库都装了

我突然想换电脑了~！

这个软件超级棒

就會看見看見

直接放C盘，你这C盘究竟有多大啊？

感谢分享

非常强大，非常好用啊

不错不错

感谢分享

谢谢，

看看你

我也是这个问题 之前的版本不会 6.2就会

感谢分享！

感谢分享

我再次测试没有问题

想进去喝茶 你为什么不直接打110呢？

想问一下到这里就没反应了是怎么回事Analysing: 100%|=====================================================| 6582/6582 [01:43<00:00, 63.47frame/s, rate=43.2]

用手机下载DNS优选,设置了，还是打不开下载

支持

刚刚手机上下载了DNS优选，用了，下载还是打不开

修改下你上网的dns

嗯… 无法访问此页面 go.jian27.com 已拒绝连接。 请尝试： 检查连接 检查代理和防火墙 就下载，突然打不开了

谢谢分享

这个简单 适合小白

我没遇到这个问题，如果不行 你试试6.0

真的不错

V6.2完整包，应该是最新版本了吧，处理图片的话就没事，文件都在，视频不行，生成后自动就没有了

你用的是哪个版本？

大佬，软件一切运行正常，处理完成之后生成的视频文件在Swap_Out文件夹里出现了，黑色框显示出“生成完成，保存到软件目录/Swap_Out文件夹”这个之后，Swap_Out里的文件马上就自动消失了是怎么回事？

打开看了，内容更少了。

6750GRE，装了啊

感谢楼主的分享

感谢分享

不错，感谢分享

谢谢

姑娘一句穿不暖，痴儿立即去贷款！

有情感很重要的

32432423

我文末有写官方地址 你去看看

请问有没有安卓手机版的文档，现在AList自带的有些内容用不了。

那说明你不是在我这里下载的。

不行

试试jian27

你是什么显卡？安装了amd的套件没？

解压密码，下载几个都要密码，解压软件都换了几个

To create a public link, set `share=True` in `launch()`. Applied providers: ['DmlExecutionProvider', 'CPUExecutionProvider'], with options: {'DmlExecutionProvider': {}, 'CPUExecutionProvider': {}} find model: F:\roop_unleashed4.3.1-A\models\buffalo_l\1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0 Applied providers: ['DmlExecutionProvider', 'CPUExecutionProvider'], with options: {'DmlExecutionProvider': {}, 'CPUExecutionProvider': {}} find model: F:\roop_unleashed4.3.1-A\models\buffalo_l\2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0 Applied providers: ['DmlExecutionProvider', 'CPUExecutionProvider'], with options: {'DmlExecutionProvider': {}, 'CPUExecutionProvider': {}} find model: F:\roop_unleashed4.3.1-A\models\buffalo_l\det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0 Applied providers: ['DmlExecutionProvider', 'CPUExecutionProvider'], with options: {'DmlExecutionProvider': {}, 'CPUExecutionProvider': {}} find model: F:\roop_unleashed4.3.1-A\models\buffalo_l\genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0 Applied providers: ['DmlExecutionProvider', 'CPUExecutionProvider'], with options: {'DmlExecutionProvider': {}, 'CPUExecutionProvider': {}} find model: F:\roop_unleashed4.3.1-A\models\buffalo_l\w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5 set det-size: (640, 640)

好东西

感谢分享

感谢分享

感谢分享

感谢分享

要什么科学？解压即可使用，我把模型和节点都打包分享了

没有科学无法使用啊！

https://www.myhelen.cn/helen/259.htm 这是教程 安装好cuda11.8和对应的cudnn

怎么搭呀

你AI 环境搭建好了没？

大佬们，请问这是什么意思 INFO: Created TensorFlow Lite XNNPACK delegate for CPU. W0000 00:00:1731287804.803928 8092 inference_feedback_manager.cc:114] Feedback manager requires a model with a single signature inference. Disabling support for feedback tensors. W0000 00:00:1731287804.814413 3116 inference_feedback_manager.cc:114] Feedback manager requires a model with a single signature inference. Disabling support for feedback tensors. #face is invalid: 0 Traceback (most recent call last): File "E:\hallo2\scripts\inference_long.py", line 508, in <module> save_path = inference_process(command_line_args) File "E:\hallo2\scripts\inference_long.py", line 216, in inference_process source_image_lip_mask = image_processor.preprocess( File "E:\hallo2\hallo\datasets\image_processor.py", line 141, in preprocess get_mask(source_image_path, cache_dir, face_region_ratio) File "E:\hallo2\hallo\utils\util.py", line 556, in get_mask get_lip_mask(landmarks, height, width, os.path.join( File "E:\hallo2\hallo\utils\util.py", line 464, in get_lip_mask lip_landmarks = np.take(landmarks, lip_ids, 0) File "E:\hallo2\jian27\lib\site-packages\numpy\core\fromnumeric.py", line 192, in take return _wrapfunc(a, 'take', indices, axis=axis, out=out, mode=mode) File "E:\hallo2\jian27\lib\site-packages\numpy\core\fromnumeric.py", line 59, in _wrapfunc return bound(*args, **kwds) IndexError: cannot do a non-empty take from an empty axes. Press any key to continue . . .

什么密码

资源分享

谢谢分享

要密码啊，谁知道呢

我好像登录不了

感谢分享

不麻烦老师们了，朋友给了我一份

请问哪位老师能给我贴下网盘的直接下载链接哦，我这不知道为啥都跳转不到网盘下载链接

安装好cuda11.8和对应的cudnn版本

已经在运行 不用处理，仔细看视频教程

这个哪里不对 Traceback (most recent call last): File "F:\facefusion3.0.1\jian27\Lib\site-packages\gradio\queueing.py", line 536, in process_events response = await route_utils.call_process_api( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\facefusion3.0.1\jian27\Lib\site-packages\gradio\route_utils.py", line 322, in call_process_api output = await app.get_blocks().process_api( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\facefusion3.0.1\jian27\Lib\site-packages\gradio\blocks.py", line 1935, in process_api result = await self.call_function( ^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\facefusion3.0.1\jian27\Lib\site-packages\gradio\blocks.py", line 1520, in call_function prediction = await anyio.to_thread.run_sync( # type: ignore ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\facefusion3.0.1\jian27\Lib\site-packages\anyio\to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\facefusion3.0.1\jian27\Lib\site-packages\anyio\_backends\_asyncio.py", line 2405, in run_sync_in_worker_thread return await future ^^^^^^^^^^^^ File "F:\facefusion3.0.1\jian27\Lib\site-packages\anyio\_backends\_asyncio.py", line 914, in run result = context.run(func, *args) ^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\facefusion3.0.1\jian27\Lib\site-packages\gradio\utils.py", line 826, in wrapper response = f(*args, **kwargs) ^^^^^^^^^^^^^^^^^^ File "F:\facefusion3.0.1\facefusion\uis\components\instant_runner.py", line 82, in run create_and_run_job(step_args) File "F:\facefusion3.0.1\facefusion\uis\components\instant_runner.py", line 97, in create_and_run_job return job_manager.create_job(job_id) and job_manager.add_step(job_id, step_args) and job_manager.submit_job(job_id) and job_runner.run_job(job_id, process_step) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\facefusion3.0.1\facefusion\jobs\job_runner.py", line 11, in run_job if run_steps(job_id, process_step) and finalize_steps(job_id): ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\facefusion3.0.1\facefusion\jobs\job_runner.py", line 66, in run_steps if not run_step(job_id, index, step, process_step): ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\facefusion3.0.1\facefusion\jobs\job_runner.py", line 52, in run_step if job_manager.set_step_status(job_id, step_index, 'started') and process_step(job_id, step_index, step_args): ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\facefusion3.0.1\facefusion\core.py", line 289, in process_step if common_pre_check() and processors_pre_check(): ^^^^^^^^^^^^^^^^^^^^^^ File "F:\facefusion3.0.1\facefusion\core.py", line 111, in processors_pre_check if not processor_module.pre_check(): ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\facefusion3.0.1\facefusion\processors\modules\age_modifier.py", line 88, in pre_check return conditional_download_hashes(download_directory_path, model_hashes) and conditional_download_sources(download_directory_path, model_sources) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\facefusion3.0.1\facefusion\download.py", line 87, in conditional_download_sources _, invalid_source_paths = validate_source_paths(source_paths) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\facefusion3.0.1\facefusion\download.py", line 127, in validate_source_paths if validate_hash(source_path): ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\facefusion3.0.1\facefusion\hash_helper.py", line 20, in validate_hash validate_content = validate_file.read() ^^^^^^^^^^^^^^^^^^^^ MemoryError

谢谢大佬分享

出现这个，怎么处理？ To create a public link, set `share=True` in `launch()`.

多谢老板

大神，报moov atom not found，什么情况

联系过作者，现在部分网站他不维护了。

自己百度下这怎么修改dns

大佬不会改DNS啊？ 网站资源都不能下载了！！

谢谢分享

讯飞免费？

感谢分享

这是精简版的啊

谢谢

感恩

非常实用

修改你的上网DNS.我再次测试 下载没问题

修改你的上网DNS.我再次测试 下载没问题

下载地址那么明显看不到？留言审核不影响下载，我不喜欢搞套路

为什么找不到服务器？

大侠，不能正常下载呢？

好东西~，感谢分享！剑哥666~~~！！！

审核这么久 审核通过才有下载地址是吗

不错哦 会开发的人太有魅力了

等待审核中

下载链接在哪里

瞅瞅看

试试看？

我好像没有遇到这样的错误

我当时测试的时候 那个版本没有汉化的，不知道现在这个新版本是否有汉化 你试试

Exception in callback _ProactorBasePipeTransport._call_connection_lost(None) handle: <Handle _ProactorBasePipeTransport._call_connection_lost(None)> Traceback (most recent call last): File "asyncio\events.py", line 80, in _run File "asyncio\proactor_events.py", line 165, in _call_connection_lost ConnectionResetError: [WinError 10054] An existing connection was forcibly closed by the remote host 运行facefusion经常性随机出现以上错误信息，尝试网络上的几种修改方式，问题一直解决不了，后来尝试把asyncio\windows_events.py里面的 DefaultEventLoopPolicy = WindowsProactorEventLoopPolicy 改成 DefaultEventLoopPolicy = WindowsSelectorEventLoopPolicy 运行了多次，未再出现错误信息。

我说，兄弟啊，你这调皮的。 你可让别人咋活啊，哈哈哈哈哈。 另外，这个是汉化版吗？

a卡有救了

试试修改下你上网的dns。我这边测试没问题

学习一下 好东西

感谢楼主分享

下不了

嗯… 无法访问此页面 go.jian27.com 已拒绝连接。 请尝试： 检查连接 检查代理和防火墙 ERR_CONNECTION_REFUSED

怎么下载不了啊

感谢分享

这个可以用java或者python去直接调用不

你可以换下上网的dns试试

我这边没有问题 可以访问的

666666

比如：点“夸克网盘” 网页打开的地址是： https://go.jian27.com/go.php?url=aHR0cHM6Ly9wYW4ucXVhcmsuY24vcy82NTFiOWU1NzllNTU= 网页无法访问，不知道是不是我的问题。。。

哪个没反应？

非常不错

谢谢，换了还是不行，估计是我这里联通宽带的问题，过段时间我再试试。

谢谢分享，大佬

看下下载地址，上面的下载按钮点了没反应。。

修改你上网的dns，其他人没反应过这个情况，我自己也试过没问题

这个软件相当奈斯啊

三个网盘都不行，不知道咋回事

我不是什么大师，点击哪个网盘无法访问？

大师，为啥我点网盘下载后就提示网页无法访问，跳不到网盘页面呢

感谢分享

这个软件很不错啊，感谢了

本站搜索winrar 用这个解压试试

模型下载后放到哪里，没有说啊？

感谢大佬分享

沙发

谢谢大师的分享。

谢谢大师辛勤付出。

for download url

下载后解压总是出问题

靠~早点看到能省下一个师，这工具太牛B了。这年头垃圾信息一大堆推送，这好用的工具要拿放大镜找，这作者那么佛系不推广吗？支持支持支持！！！！！！！

謝謝

谢谢分享

感恩您的分享

很奈斯

这个工具牛逼啊

感谢分享

谢谢大师，我再重新下载试试

阿达大大阿达

仔细看文末的说明

找不到播放源

很好，很香。感谢分享

仔细看视频教程

666

谢谢分享！

找不到已经完成的视频

感谢分享

感谢分享

感谢分享

没问题的

謝謝

谢谢

正好需要

thx 4 sharing

谢谢剑侠

夸克网盘链接好像失效了

刚才我更新了最新版了，重新下载即可

可以

66666666

估计是需要AI处理的功能用不了

大佬链接复制进去报错002

6666

感谢大佬

很红很很好

是什么意思？

多谢分享4

已试用，很好

提示：找不到下载模块的URL 大佬有办法弄么

谢谢分享

666

感谢分享

复制出来看看

为什么显示提取操作没有完成

感谢好人

最新修改版 已经可以用12G显存跑了

再次测试 没有问题

谢谢分享

没法打开软件

好多图片放大的软件，都不知道用哪个好

想知道，第一选择的图片放大软件是哪个哈

谢谢提供软件！很有用

爱你剑27

太美妙了

再次测试没问题

打不开网盘跳转。。。。。。

跑schnell版8G的显存都可以玩！

666

666

团子翻译器5.3.0

试试cuda11.8 以及对应的cudnn

谢谢

cuda安装的是12.61，cudnn9.5.1

6

感谢分享

没有安装好cuda和cudnn

谢谢分享

To create a public link, set `share=True` in `launch()`. save path: ./output_long/debug/720-1bi1 2024-10-25 16:56:08.5048404 [E:onnxruntime:Default, provider_bridge_ort.cc:1744 onnxruntime::TryGetProviderInfo_CUDA] C:\a\_work\1\s\onnxruntime\core\session\provider_bridge_ort.cc:1426 onnxruntime::ProviderLibrary::Get [ONNXRuntimeError] : 1 : FAIL : LoadLibrary failed with error 126 "" when trying to load "L:\ai-ruanjian-2023-09\hallo2-2024-10-25\hallo2\python\lib\site-packages\onnxruntime\capi\onnxruntime_providers_cuda.dll" *************** EP Error *************** EP Error C:\a\_work\1\s\onnxruntime\python\onnxruntime_pybind_state.cc:866 onnxruntime::python::CreateExecutionProviderInstance CUDA_PATH is set but CUDA wasnt able to be loaded. Please install the correct version of CUDA andcuDNN as mentioned in the GPU requirements page (https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements), make sure they're in the PATH, and that your GPU is supported. when using ['CUDAExecutionProvider', 'CPUExecutionProvider'] Falling back to ['CUDAExecutionProvider', 'CPUExecutionProvider'] and retrying. **************************************** 2024-10-25 16:56:08.7958579 [E:onnxruntime:Default, provider_bridge_ort.cc:1744 onnxruntime::TryGetProviderInfo_CUDA] C:\a\_work\1\s\onnxruntime\core\session\provider_bridge_ort.cc:1426 onnxruntime::ProviderLibrary::Get [ONNXRuntimeError] : 1 : FAIL : LoadLibrary failed with error 126 "" when trying to load "L:\ai-ruanjian-2023-09\hallo2-2024-10-25\hallo2\python\lib\site-packages\onnxruntime\capi\onnxruntime_providers_cuda.dll" Traceback (most recent call last): File "L:\ai-ruanjian-2023-09\hallo2-2024-10-25\hallo2\python\lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py", line 419, in __init__ self._create_inference_session(providers, provider_options, disabled_optimizers) File "L:\ai-ruanjian-2023-09\hallo2-2024-10-25\hallo2\python\lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py", line 483, in _create_inference_session sess.initialize_session(providers, provider_options, disabled_optimizers) RuntimeError: C:\a\_work\1\s\onnxruntime\python\onnxruntime_pybind_state.cc:866 onnxruntime::python::CreateExecutionProviderInstance CUDA_PATH is set but CUDA wasnt able to be loaded. Please install the correct version of CUDA andcuDNN as mentioned in the GPU requirements page (https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements), make sure they're in the PATH, and that your GPU is supported. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "L:\ai-ruanjian-2023-09\hallo2-2024-10-25\hallo2\python\lib\site-packages\gradio\queueing.py", line 622, in process_events response = await route_utils.call_process_api( File "L:\ai-ruanjian-2023-09\hallo2-2024-10-25\hallo2\python\lib\site-packages\gradio\route_utils.py", line 323, in call_process_api output = await app.get_blocks().process_api( File "L:\ai-ruanjian-2023-09\hallo2-2024-10-25\hallo2\python\lib\site-packages\gradio\blocks.py", line 2014, in process_api result = await self.call_function( File "L:\ai-ruanjian-2023-09\hallo2-2024-10-25\hallo2\python\lib\site-packages\gradio\blocks.py", line 1567, in call_function prediction = await anyio.to_thread.run_sync( # type: ignore File "L:\ai-ruanjian-2023-09\hallo2-2024-10-25\hallo2\python\lib\site-packages\anyio\to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "L:\ai-ruanjian-2023-09\hallo2-2024-10-25\hallo2\python\lib\site-packages\anyio\_backends\_asyncio.py", line 2441, in run_sync_in_worker_thread return await future File "L:\ai-ruanjian-2023-09\hallo2-2024-10-25\hallo2\python\lib\site-packages\anyio\_backends\_asyncio.py", line 943, in run result = context.run(func, *args) File "L:\ai-ruanjian-2023-09\hallo2-2024-10-25\hallo2\python\lib\site-packages\gradio\utils.py", line 846, in wrapper response = f(*args, **kwargs) File "L:\ai-ruanjian-2023-09\hallo2-2024-10-25\hallo2\python\lib\site-packages\gradio\utils.py", line 846, in wrapper response = f(*args, **kwargs) File "app.py", line 37, in app.predict File "L:\ai-ruanjian-2023-09\hallo2-2024-10-25\hallo2\scripts\inference_long.py", line 210, in inference_process with ImageProcessor(img_size, face_analysis_model_path) as image_processor: File "L:\ai-ruanjian-2023-09\hallo2-2024-10-25\hallo2\hallo\datasets\image_processor.py", line 100, in __init__ self.face_analysis = FaceAnalysis( File "L:\ai-ruanjian-2023-09\hallo2-2024-10-25\hallo2\python\lib\site-packages\insightface\app\face_analysis.py", line 31, in __init__ model = model_zoo.get_model(onnx_file, **kwargs) File "L:\ai-ruanjian-2023-09\hallo2-2024-10-25\hallo2\python\lib\site-packages\insightface\model_zoo\model_zoo.py", line 96, in get_model model = router.get_model(providers=providers, provider_options=provider_options) File "L:\ai-ruanjian-2023-09\hallo2-2024-10-25\hallo2\python\lib\site-packages\insightface\model_zoo\model_zoo.py", line 40, in get_model session = PickableInferenceSession(self.onnx_file, **kwargs) File "L:\ai-ruanjian-2023-09\hallo2-2024-10-25\hallo2\python\lib\site-packages\insightface\model_zoo\model_zoo.py", line 25, in __init__ super().__init__(model_path, **kwargs) File "L:\ai-ruanjian-2023-09\hallo2-2024-10-25\hallo2\python\lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py", line 432, in __init__ raise fallback_error from e File "L:\ai-ruanjian-2023-09\hallo2-2024-10-25\hallo2\python\lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py", line 427, in __init__ self._create_inference_session(self._fallback_providers, None) File "L:\ai-ruanjian-2023-09\hallo2-2024-10-25\hallo2\python\lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py", line 483, in _create_inference_session sess.initialize_session(providers, provider_options, disabled_optimizers) RuntimeError: C:\a\_work\1\s\onnxruntime\python\onnxruntime_pybind_state.cc:866 onnxruntime::python::CreateExecutionProviderInstance CUDA_PATH is set but CUDA wasnt able to be loaded. Please install the correct version of CUDA andcuDNN as mentioned in the GPU requirements page (https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements), make sure they're in the PATH, and that your GPU is supported.

终于下载好了，开限时会员下载才下载下，百度现在不要脸

从百度网盘下载还是报错什么情况？

脸的图片 参考我的图片样式

但是确实是高清图啊，用的很标准的肖像照。。。我花钱买了份整合版 我再试试

cuda版本不对

WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for: PyTorch 2.2.2+cu121 with CUDA 1201 (you have 2.2.2+cu118) Python 3.10.11 (you have 3.10.15) Please reinstall xformers (see https://github.com/facebookresearch/xformers#installing-xformers) Memory-efficient attention, SwiGLU, sparse and more won't be available. Set XFORMERS_MORE_DETAILS=1 for more details D:\BaiduNetdiskDownload\hallo2\jian27\lib\site-packages\pydub\utils.py:170: RuntimeWarning: Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work warn("Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work", RuntimeWarning) save path: ./output/1 Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'device_id': '0', 'has_user_compute_stream': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'user_compute_stream': '0', 'gpu_external_alloc': '0', 'gpu_mem_limit': '18446744073709551615', 'enable_cuda_graph': '0', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'cudnn_conv_algo_search': 'EXHAUSTIVE', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0', 'prefer_nhwc': '0', 'use_ep_level_unified_stream': '0', 'use_tf32': '1'}, 'CPUExecutionProvider': {}} find model: ./pretrained_models/face_analysis\models\1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0 Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'device_id': '0', 'has_user_compute_stream': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'user_compute_stream': '0', 'gpu_external_alloc': '0', 'gpu_mem_limit': '18446744073709551615', 'enable_cuda_graph': '0', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'cudnn_conv_algo_search': 'EXHAUSTIVE', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0', 'prefer_nhwc': '0', 'use_ep_level_unified_stream': '0', 'use_tf32': '1'}, 'CPUExecutionProvider': {}} find model: ./pretrained_models/face_analysis\models\2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0 Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'device_id': '0', 'has_user_compute_stream': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'user_compute_stream': '0', 'gpu_external_alloc': '0', 'gpu_mem_limit': '18446744073709551615', 'enable_cuda_graph': '0', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'cudnn_conv_algo_search': 'EXHAUSTIVE', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0', 'prefer_nhwc': '0', 'use_ep_level_unified_stream': '0', 'use_tf32': '1'}, 'CPUExecutionProvider': {}} find model: ./pretrained_models/face_analysis\models\genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0 Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'device_id': '0', 'has_user_compute_stream': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'user_compute_stream': '0', 'gpu_external_alloc': '0', 'gpu_mem_limit': '18446744073709551615', 'enable_cuda_graph': '0', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'cudnn_conv_algo_search': 'EXHAUSTIVE', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0', 'prefer_nhwc': '0', 'use_ep_level_unified_stream': '0', 'use_tf32': '1'}, 'CPUExecutionProvider': {}} find model: ./pretrained_models/face_analysis\models\glintr100.onnx recognition ['None', 3, 112, 112] 127.5 127.5 Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'device_id': '0', 'has_user_compute_stream': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'user_compute_stream': '0', 'gpu_external_alloc': '0', 'gpu_mem_limit': '18446744073709551615', 'enable_cuda_graph': '0', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'cudnn_conv_algo_search': 'EXHAUSTIVE', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0', 'prefer_nhwc': '0', 'use_ep_level_unified_stream': '0', 'use_tf32': '1'}, 'CPUExecutionProvider': {}} find model: ./pretrained_models/face_analysis\models\scrfd_10g_bnkps.onnx detection [1, 3, '?', '?'] 127.5 128.0 set det-size: (640, 640) WARNING: All log messages before absl::InitializeLog() is called are written to STDERR W0000 00:00:1729764998.540941 34172 face_landmarker_graph.cc:174] Sets FaceBlendshapesGraph acceleration to xnnpack by default. INFO: Created TensorFlow Lite XNNPACK delegate for CPU. W0000 00:00:1729764998.554655 32040 inference_feedback_manager.cc:114] Feedback manager requires a model with a single signature inference. Disabling support for feedback tensors. W0000 00:00:1729764998.562839 19228 inference_feedback_manager.cc:114] Feedback manager requires a model with a single signature inference. Disabling support for feedback tensors. Processed and saved: ./output/1\1_sep_background.png Processed and saved: ./output/1\1_sep_face.png Some weights of Wav2VecModel were not initialized from the model checkpoint at ./pretrained_models/wav2vec/wav2vec2-base-960h and are newly initialized: ['wav2vec2.encoder.pos_conv_embed.conv.parametrizations.weight.original0', 'wav2vec2.encoder.pos_conv_embed.conv.parametrizations.weight.original1', 'wav2vec2.masked_spec_embed'] You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. 2024-10-24 18:16:38,957 - INFO - separator - Separator version 0.17.2 instantiating with output_dir: ./output/1\audio_preprocess, output_format: WAV 2024-10-24 18:16:38,958 - INFO - separator - Operating System: Windows 10.0.19045 2024-10-24 18:16:38,959 - INFO - separator - System: Windows Node: DESKTOP-BNJA2AM Release: 10 Machine: AMD64 Proc: AMD64 Family 23 Model 113 Stepping 0, AuthenticAMD 2024-10-24 18:16:38,959 - INFO - separator - Python Version: 3.10.15 2024-10-24 18:16:38,959 - INFO - separator - PyTorch Version: 2.2.2+cu118 2024-10-24 18:16:38,961 - ERROR - separator - FFmpeg is not installed. Please install FFmpeg to use this package. Traceback (most recent call last): File "D:\BaiduNetdiskDownload\hallo2\scripts\inference_long.py", line 508, in <module> save_path = inference_process(command_line_args) File "D:\BaiduNetdiskDownload\hallo2\scripts\inference_long.py", line 235, in inference_process audio_processor = AudioProcessor( File "D:\BaiduNetdiskDownload\hallo2\hallo\datasets\audio_processor.py", line 61, in __init__ self.audio_separator = Separator( File "D:\BaiduNetdiskDownload\hallo2\jian27\lib\site-packages\audio_separator\separator\separator.py", line 140, in __init__ self.setup_accelerated_inferencing_device() File "D:\BaiduNetdiskDownload\hallo2\jian27\lib\site-packages\audio_separator\separator\separator.py", line 147, in setup_accelerated_inferencing_device self.check_ffmpeg_installed() File "D:\BaiduNetdiskDownload\hallo2\jian27\lib\site-packages\audio_separator\separator\separator.py", line 173, in check_ffmpeg_installed ffmpeg_version_output = subprocess.check_output(["ffmpeg", "-version"], text=True) File "D:\BaiduNetdiskDownload\hallo2\jian27\lib\subprocess.py", line 421, in check_output return run(*popenargs, stdout=PIPE, timeout=timeout, check=True, File "D:\BaiduNetdiskDownload\hallo2\jian27\lib\subprocess.py", line 503, in run with Popen(*popenargs, **kwargs) as process: File "D:\BaiduNetdiskDownload\hallo2\jian27\lib\subprocess.py", line 971, in __init__ self._execute_child(args, executable, preexec_fn, close_fds, File "D:\BaiduNetdiskDownload\hallo2\jian27\lib\subprocess.py", line 1456, in _execute_child hp, ht, pid, tid = _winapi.CreateProcess(executable, args, FileNotFoundError: [WinError 2] 系统找不到指定的文件。 Press any key to continue . . . 这是啥情况啊

脸那个图片有问题，换一张，提示找不到脸

大佬 您好，我下载的是1007版本的，路径全英文，一直报错[FACEFUSION.FACE_SWAPPER] No source face detected! 请问需要排查哪里？

太6了

真的很大

一如既往的牛

感谢

666666

因为我要你们支持正版，文末有写

为什么我看不到下载链接

本站搜索winrar 用这个解压试试

666

666

解压缩好几条报错信息，需要重新下载吗？ 数据错误:models\2dfan4roop.onnx 数据错误:modelsl79999 iter.pth 数据错误:modelslarcface_simswap.onnx 数据错误:modelslblendswap 256.onnx 数据错误:modelslrestoreformer_plus_plus.onnx 数据错误:models\RestoreFormerPlusPlus.onnx 数据错误:models\styleganex_age.onnx 据错误:models\ViT-B-16.pt

666

666

谢谢分享

厉害厉害

这个已经在提示你了，该换显卡了。16g以下就不要去玩了

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-previous-218-g643a485d Commit hash: 643a485d1aff11acc657b24ee32d019e28d85b07 Traceback (most recent call last): File "G:\FLUX24\webui\launch.py", line 51, in <module> main() File "G:\FLUX24\webui\launch.py", line 39, in main prepare_environment() File "G:\FLUX24\webui\modules\launch_utils.py", line 434, in prepare_environment raise RuntimeError( RuntimeError: Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check 请按任意键继续. . . ----------------------- Microsoft Windows [版本 10.0.19041.329] (c) 2020 Microsoft Corporation. 保留所有权利。 C:\Users\Administrator>path PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\libnvvp;C:\Windows\system32;C:\Windows;C:\Windows\System32\Wbem;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Windows\System32\OpenSSH\;C:\Program Files (x86)\QuickTime\QTSystem\;C:\Program Files\NVIDIA Corporation\Nsight Compute 2022.3.0\;C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;C:\Program Files\NVIDIA Corporation\NVIDIA NvDLISR;C:\Users\Administrator\AppData\Local\Microsoft\WindowsApps; ----------------------- 硬件配置：NVIDIA 2080ti 11GB； win10； CUDA版本:11.8； 驱动版本：561.09； 问题出在哪里了？怎么不支持GPU? 在那个文件禁用参数？

这个要你安装下ffmpeg？ 如果不会我可能是忘记把ffmpeg放在这个项目目录中了，你搜下本站下载后把ffmpeg.exe 放在目录下就好了

这明显不是我做的整合包

感谢分享

老大，这是什么情况 save path: ./output/1 Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'device_id': '0', 'has_user_compute_stream': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'user_compute_stream': '0', 'gpu_external_alloc': '0', 'gpu_mem_limit': '18446744073709551615', 'enable_cuda_graph': '0', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'cudnn_conv_algo_search': 'EXHAUSTIVE', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0', 'prefer_nhwc': '0', 'use_ep_level_unified_stream': '0', 'use_tf32': '1'}, 'CPUExecutionProvider': {}} find model: ./pretrained_models/face_analysis\models\1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0 Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'device_id': '0', 'has_user_compute_stream': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'user_compute_stream': '0', 'gpu_external_alloc': '0', 'gpu_mem_limit': '18446744073709551615', 'enable_cuda_graph': '0', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'cudnn_conv_algo_search': 'EXHAUSTIVE', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0', 'prefer_nhwc': '0', 'use_ep_level_unified_stream': '0', 'use_tf32': '1'}, 'CPUExecutionProvider': {}} find model: ./pretrained_models/face_analysis\models\2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0 Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'device_id': '0', 'has_user_compute_stream': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'user_compute_stream': '0', 'gpu_external_alloc': '0', 'gpu_mem_limit': '18446744073709551615', 'enable_cuda_graph': '0', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'cudnn_conv_algo_search': 'EXHAUSTIVE', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0', 'prefer_nhwc': '0', 'use_ep_level_unified_stream': '0', 'use_tf32': '1'}, 'CPUExecutionProvider': {}} find model: ./pretrained_models/face_analysis\models\genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0 Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'device_id': '0', 'has_user_compute_stream': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'user_compute_stream': '0', 'gpu_external_alloc': '0', 'gpu_mem_limit': '18446744073709551615', 'enable_cuda_graph': '0', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'cudnn_conv_algo_search': 'EXHAUSTIVE', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0', 'prefer_nhwc': '0', 'use_ep_level_unified_stream': '0', 'use_tf32': '1'}, 'CPUExecutionProvider': {}} find model: ./pretrained_models/face_analysis\models\glintr100.onnx recognition ['None', 3, 112, 112] 127.5 127.5 Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'device_id': '0', 'has_user_compute_stream': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'user_compute_stream': '0', 'gpu_external_alloc': '0', 'gpu_mem_limit': '18446744073709551615', 'enable_cuda_graph': '0', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'cudnn_conv_algo_search': 'EXHAUSTIVE', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0', 'prefer_nhwc': '0', 'use_ep_level_unified_stream': '0', 'use_tf32': '1'}, 'CPUExecutionProvider': {}} find model: ./pretrained_models/face_analysis\models\scrfd_10g_bnkps.onnx detection [1, 3, '?', '?'] 127.5 128.0 set det-size: (640, 640) WARNING: All log messages before absl::InitializeLog() is called are written to STDERR W0000 00:00:1729437915.446654 9128 face_landmarker_graph.cc:174] Sets FaceBlendshapesGraph acceleration to xnnpack by default. INFO: Created TensorFlow Lite XNNPACK delegate for CPU. W0000 00:00:1729437915.454916 3604 inference_feedback_manager.cc:114] Feedback manager requires a model with a single signature inference. Disabling support for feedback tensors. W0000 00:00:1729437915.462255 4936 inference_feedback_manager.cc:114] Feedback manager requires a model with a single signature inference. Disabling support for feedback tensors. Processed and saved: ./output/1\1_sep_background.png Processed and saved: ./output/1\1_sep_face.png Some weights of Wav2VecModel were not initialized from the model checkpoint at ./pretrained_models/wav2vec/wav2vec2-base-960h and are newly initialized: ['wav2vec2.encoder.pos_conv_embed.conv.parametrizations.weight.original0', 'wav2vec2.encoder.pos_conv_embed.conv.parametrizations.weight.original1', 'wav2vec2.masked_spec_embed'] You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. 2024-10-20 23:25:15,746 - INFO - separator - Separator version 0.17.2 instantiating with output_dir: ./output/1\audio_preprocess, output_format: WAV 2024-10-20 23:25:15,747 - INFO - separator - Operating System: Windows 10.0.19045 2024-10-20 23:25:15,747 - INFO - separator - System: Windows Node: DESKTOP-07OKCTL Release: 10 Machine: AMD64 Proc: Intel64 Family 6 Model 151 Stepping 2, GenuineIntel 2024-10-20 23:25:15,747 - INFO - separator - Python Version: 3.10.15 2024-10-20 23:25:15,748 - INFO - separator - PyTorch Version: 2.2.2+cu118 2024-10-20 23:25:15,748 - ERROR - separator - FFmpeg is not installed. Please install FFmpeg to use this package. Traceback (most recent call last): File "H:\gongju\11\scripts\inference_long.py", line 508, in <module> save_path = inference_process(command_line_args) File "H:\gongju\11\scripts\inference_long.py", line 235, in inference_process audio_processor = AudioProcessor( File "H:\gongju\11\hallo\datasets\audio_processor.py", line 61, in __init__ self.audio_separator = Separator( File "H:\gongju\11\jian27\lib\site-packages\audio_separator\separator\separator.py", line 140, in __init__ self.setup_accelerated_inferencing_device() File "H:\gongju\11\jian27\lib\site-packages\audio_separator\separator\separator.py", line 147, in setup_accelerated_inferencing_device self.check_ffmpeg_installed() File "H:\gongju\11\jian27\lib\site-packages\audio_separator\separator\separator.py", line 173, in check_ffmpeg_installed ffmpeg_version_output = subprocess.check_output(["ffmpeg", "-version"], text=True) File "H:\gongju\11\jian27\lib\subprocess.py", line 421, in check_output return run(*popenargs, stdout=PIPE, timeout=timeout, check=True, File "H:\gongju\11\jian27\lib\subprocess.py", line 503, in run with Popen(*popenargs, **kwargs) as process: File "H:\gongju\11\jian27\lib\subprocess.py", line 971, in __init__ self._execute_child(args, executable, preexec_fn, close_fds, File "H:\gongju\11\jian27\lib\subprocess.py", line 1456, in _execute_child hp, ht, pid, tid = _winapi.CreateProcess(executable, args, FileNotFoundError: [WinError 2] 系统找不到指定的文件。 Press any key to continue . . . 老大，这是什么情况？

大佬你好。我是N卡4070S，下的3.0整合包（facefusion3.0.rar），跑视频换脸报错如下，帮忙看看咋回事呢 cv2.error: OpenCV(4.10.0) D:\a\opencv-python\opencv-python\opencv\modules\imgcodecs\src\loadsave.cpp:798: error: (-215:Assertion failed) !_img.empty() in function 'cv::imwrite'

看看咋样

谢谢分享

666

哪个页面的百度网盘链接失效了？

百度网盘链接失效了

感谢🙏🏻

6666666

我win10测试没问题

我的 windows11 打不开哦，打开了没反应

非常好

感谢分享

https://github.com/fudan-generative-vision/hallo2

再次测试 没有问题，看你的浏览器是不是有什么问题

666

谢谢分享谢谢分享

感谢分享啊

我也一样，老版本能输视频，新版本就不行了。重新下载后还是这样。确定路径没有问题。

Photoshop 2024

大佬求JavPlayer 这个免安装版

666

开源网站是哪个？

这个怎么下载。点击网盘出现拒绝访问

英伟达显卡 显存16g

最低运行要求是多少啊？

支持4K，时长1小时，强得没边儿~！

感谢分享

已经放进去了 你重新下载

感谢分型分享

谢谢分享

压缩包里没有Chrome

感谢分享

谢谢分享，下个玩玩

感谢分享

只是12G显存我的看完后默默的关了电脑

感谢博主

感谢啊

下载软件

感谢！

感谢楼主

感谢分享

非常感谢

感谢大佬分享

多谢分享。

太棒了 感谢

可以

把你的科学上网工具关掉

感谢

666

--------更多AI工具，开源免费软件 请前往 https://www.jian27.com-------- 请关注我的微信公众号 剑二十七 "HF_ENDPOINT: !HF_ENDPOINT!" "NO_PROXY: !no_proxy!" [main 2024-10-17T08:35:45.235Z] update#setState idle [15868:1017/163546.985:ERROR:ssl_client_socket_impl.cc(970)] handshake failed; returned -1, SSL error code 1, net_error -101 [15868:1017/163547.084:ERROR:ssl_client_socket_impl.cc(970)] handshake failed; returned -1, SSL error code 1, net_error -101 [15868:1017/163549.130:ERROR:ssl_client_socket_impl.cc(970)] handshake failed; returned -1, SSL error code 1, net_error -101 [15868:1017/163549.227:ERROR:ssl_client_socket_impl.cc(970)] handshake failed; returned -1, SSL error code 1, net_error -101 [main 2024-10-17T08:36:15.245Z] update#setState checking for updates [main 2024-10-17T08:36:15.255Z] update#setState downloading [main 2024-10-17T08:36:31.544Z] Extension host with pid 2464 exited with code: 0, signal: unknown. 2024-10-17 16:36:47.430 | INFO | __main__:<module>:523 - Loading Llama model... F:\fish-speech\fish_speech\models\text2semantic\llama.py:370: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. weights = torch.load( 2024-10-17 16:36:55.762 | INFO | tools.llama.generate:load_model:347 - Restored model from checkpoint 2024-10-17 16:36:55.762 | INFO | tools.llama.generate:load_model:351 - Using DualARTransformer 2024-10-17 16:36:55.762 | INFO | __main__:<module>:530 - Llama model loaded, loading VQ-GAN model... F:\fish-speech\jian27\lib\site-packages\vector_quantize_pytorch\vector_quantize_pytorch.py:457: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. @autocast(enabled = False) F:\fish-speech\jian27\lib\site-packages\vector_quantize_pytorch\vector_quantize_pytorch.py:642: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. @autocast(enabled = False) F:\fish-speech\jian27\lib\site-packages\vector_quantize_pytorch\finite_scalar_quantization.py:162: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. @autocast(enabled = False) F:\fish-speech\tools\vqgan\inference.py:26: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. state_dict = torch.load( 2024-10-17 16:36:57.598 | INFO | tools.vqgan.inference:load_model:44 - Loaded model: <All keys matched successfully> 2024-10-17 16:36:57.598 | INFO | __main__:<module>:538 - Decoder model loaded, warming up... 2024-10-17 16:36:57.598 | INFO | tools.api:encode_reference:117 - No reference audio provided 2024-10-17 16:36:57.644 | INFO | tools.llama.generate:generate_long:432 - Encoded text: Hello, world! 2024-10-17 16:36:57.644 | INFO | tools.llama.generate:generate_long:450 - Generating sentence 1/1 of sample 1/1 F:\fish-speech\fish_speech\models\text2semantic\llama.py:655: UserWarning: 1Torch was not compiled with flash attention. (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\native\transformers\cuda\sdp_utils.cpp:555.) y = F.scaled_dot_product_attention( 0%| | 0/4080 [00:00<?, ?it/s]F:\fish-speech\jian27\lib\contextlib.py:103: FutureWarning: `torch.backends.cuda.sdp_kernel()` is deprecated. In the future, this context manager will be removed. Please see `torch.nn.attention.sdpa_kernel()` for the new context manager, with updated signature. self.gen = func(*args, **kwds) 11%|████████▉ | 462/4080 [00:46<06:02, 9.99it/s] 2024-10-17 16:37:44.321 | INFO | tools.llama.generate:generate_long:505 - Generated 464 tokens in 46.68 seconds, 9.94 tokens/sec 2024-10-17 16:37:44.321 | INFO | tools.llama.generate:generate_long:508 - Bandwidth achieved: 4.87 GB/s 2024-10-17 16:37:44.321 | INFO | tools.llama.generate:generate_long:513 - GPU Memory used: 1.42 GB 2024-10-17 16:37:44.337 | INFO | tools.api:decode_vq_tokens:128 - VQ features: torch.Size([4, 463]) 2024-10-17 16:37:46.238 | INFO | __main__:<module>:555 - Warming up done, launching the web UI... Running on local URL: http://127.0.0.1:7860 To create a public link, set `share=True` in `launch()`. F:\fish-speech\jian27\lib\site-packages\gradio\analytics.py:106: UserWarning: IMPORTANT: You are using gradio version 4.44.0, however version 5.0.1 is available, please upgrade. -------- warnings.warn( funasr version: 1.1.12. Check update of funasr, and it would cost few times. You may disable it by set `disable_update=True` in AutoModel You are using the latest version of funasr-1.1.12 2024-10-17 16:38:36,320 - modelscope - WARNING - Using the master branch is fragile, please use it with caution! 2024-10-17 16:38:36,320 - modelscope - INFO - Use user-specified model revision: master F:\fish-speech\jian27\lib\site-packages\funasr\train_utils\load_pretrained_model.py:39: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. ori_state = torch.load(path, map_location=map_location) funasr version: 1.1.12. Check update of funasr, and it would cost few times. You may disable it by set `disable_update=True` in AutoModel You are using the latest version of funasr-1.1.12 2024-10-17 16:38:44,795 - modelscope - WARNING - Using the master branch is fragile, please use it with caution! 2024-10-17 16:38:44,796 - modelscope - INFO - Use user-specified model revision: master Traceback (most recent call last): File "F:\fish-speech\jian27\lib\site-packages\gradio\queueing.py", line 536, in process_events response = await route_utils.call_process_api( File "F:\fish-speech\jian27\lib\site-packages\gradio\route_utils.py", line 322, in call_process_api output = await app.get_blocks().process_api( File "F:\fish-speech\jian27\lib\site-packages\gradio\blocks.py", line 1935, in process_api result = await self.call_function( File "F:\fish-speech\jian27\lib\site-packages\gradio\blocks.py", line 1520, in call_function prediction = await anyio.to_thread.run_sync( # type: ignore File "F:\fish-speech\jian27\lib\site-packages\anyio\to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "F:\fish-speech\jian27\lib\site-packages\anyio\_backends\_asyncio.py", line 2177, in run_sync_in_worker_thread return await future File "F:\fish-speech\jian27\lib\site-packages\anyio\_backends\_asyncio.py", line 859, in run result = context.run(func, *args) File "F:\fish-speech\jian27\lib\site-packages\gradio\utils.py", line 826, in wrapper response = f(*args, **kwargs) File "F:\fish-speech\tools\webui.py", line 264, in inference_wrapper result = inference_with_auto_rerank( File "F:\fish-speech\tools\webui.py", line 193, in inference_with_auto_rerank zh_model, en_model = load_model() File "F:\fish-speech\tools\auto_rerank.py", line 20, in load_model en_model = AutoModel( File "F:\fish-speech\jian27\lib\site-packages\funasr\auto\auto_model.py", line 125, in __init__ model, kwargs = self.build_model(**kwargs) File "F:\fish-speech\jian27\lib\site-packages\funasr\auto\auto_model.py", line 222, in build_model tokenizer = tokenizer_class(**tokenizer_conf) File "F:\fish-speech\jian27\lib\site-packages\funasr\tokenizer\sentencepiece_tokenizer.py", line 23, in __init__ self._build_sentence_piece_processor() File "F:\fish-speech\jian27\lib\site-packages\funasr\tokenizer\sentencepiece_tokenizer.py", line 32, in _build_sentence_piece_processor self.sp.load(self.bpemodel) File "F:\fish-speech\jian27\lib\site-packages\sentencepiece\__init__.py", line 961, in Load return self.LoadFromFile(model_file) File "F:\fish-speech\jian27\lib\site-packages\sentencepiece\__init__.py", line 316, in LoadFromFile return _sentencepiece.SentencePieceProcessor_LoadFromFile(self, arg) OSError: Not found: "C:\Users\皇甫\.cache\modelscope\hub\iic\speech_paraformer-large-vad-punc_asr_nat-en-16k-common-vocab10020\bpe.model": No such file or directory Error #2

安卓系统就可以安装

已经修正

谢谢分享

感谢分享

看一下

已经算是有点旧的版本了，好用吗？

好好好好好好

谢谢

能安装到投影仪里面吗

无下载地址咧

感谢

感谢分享

要看你登陆b站的账号权限，你能浏览4k就能下载

没有免安装的

megspot有没有离线免安装版的啊？

谢谢分享，非常感谢

学习一下

感谢分享

下4K是不是需要会员？

太好用了! 无敌!!感谢!

不错

感谢大佬分享学习

感谢分享，谢谢。

感谢楼主分享

向日葵经常出问题，换一个用

https://github.com/JiuLing-zhang/ArithmeticGenerator 这是开源地址 你可以去问问作者

win10 64bit 程序闪退无法正常启动，所有依赖和环境均已安装

hao de hen

hao dongxi !

[FACEFUSION.CORE] Processing step 1 of 1 执行完一步之后就没反应了。没有报错， 是哪里设置不对么

6666666

感谢分享

谢谢老大分享

谢谢大佬分享

代码是开源的，你可以自己写一个进去如果不会 就只能等作者后续会不会更新这个了

估计你搞错了地方，我这里不是幼儿园 不负责电脑基础知识普及

19美元

这玩意收费的，好贵

大佬，直接把链接复制到评论吧，小白表示真的不知道怎么下载

我点几个网盘进去，页面加载不了，不知道怎么下载

看看那个好用，试一试看看那个好用，试一试

感谢分享🙏应该是不错的，如果有小红书模板排版就更完美

为什么你不睁大眼睛？

你看不到下载地址？

为什么下载不了

如何下载啊

一直在找，很好的软件

谢谢分享

v0.3.4 这个版本好像是支持中文 你试试

谢谢大佬分享

感谢楼主分享

谢谢分享

感谢楼主分享

为什么你不好好看教程？

宝贝，有中文吗？

为什么解压好了run。bat打开就没了

谢谢

太好了，谢谢

感谢分享

感谢分享

感谢分享

感谢分享

感谢分享

我用GridPlayer

求个软件 视频对比软件megspot的免安装版

谢谢大佬分享

你自己看看这段文字 你明白你说的啥不？

可能我描述的还是有点出入，当贝播放器支持的和盒子、电视、投影，手机下载使用可以播放，但是触屏没法去操作的，我就是想找一款可以在手机上播放本地视频并投屏到盒子、电视、投影的播放过期

当贝

可以推荐一个支持本地播放并投屏的安卓播放器吗

一直想找一个支持播放手机本地视频文件，并可以将本地视频投屏到电视的一个播放器，不知道这个支持吗

好人一生平安

好用吗？

咨询各位大佬，哪个版本，转换速度最快、最稳定

速度是什么情况，，是因为被敌方把腿打断了吗，半天一点不动啊

还是会下载，下载完后总共39.1G

谢谢

感谢剑侠分享

那就是cuda12.5，12.6以上不行？

科技越来越发达了！

谢谢

谢谢

感谢分享

有没有支持将本地的视频投屏到电视的安卓的播放软件

看看

可以可以

谢谢分享

这个现在国内还能用吗？？？？

谢谢

谢谢大佬！

谢谢楼主辛苦了

实用工具呀谢谢分享

谢谢

很好

咖咖

不需要下载模型了，我已经下载好放在整合包里面

感谢分享感谢分享感谢分享感谢分享感谢分享

感谢大大分享

15g下载完后打开是不是还会自动下载几个g的模型？

感谢分享 谢谢

退一步讲，如果觉得好用，花钱不是正常的行为吗？

这个我没注意，我一直在用，没发现什么限制？

haoyonga

ToDesk免费版的每月连接次数和时长限制为300次连接和120小时使用时长。‌一旦达到这些限制，用户将无法继续使用免费版的远程控制服务。

不是，我一直在用

不是有时长限制么？超过时长了就不能用了

有免费时长啊，超过时间了就不能用了。

这是我用过最好用的浏览器，用了十年了

谢谢

非常感谢

非常感谢

无需这么激动，内存32G，，，能加载就行，不需要运行，后面上高配的跑……

如果你喜欢答非所问来浪费我的回复时间的话我复制文中这一段话给你 如果你的英伟达显卡大于等于16G 内存大于64G 下载 PuLID-flux.rar 少一个条件就不要自取其辱了

12G的4070ti

大哥 工具的下载链接在哪里啊

看看

看看

看看

看看

感谢分享啊

感谢分享

感谢分享哈哈。。

你的内存多大？

谢谢分享

谢谢

谢谢分享

12G显存会导致加载失败吗？试了下，cmd跑不完，页面无法加载出来。

eqwe

12G显存会导致加载失败吗？

谢谢分享

谢谢分享！

xiexie

感谢分享🙏应该是不错的

谢谢分享

相当容易啊，说没反映的请在examples/4操作

这个软件识别字幕比很多语音转文字软件准确多了。感谢分享！

谢谢老大分享

谢谢大佬分享

谢谢楼主分享

本次更新并不是版本更新，是修复了一些之前存在bug 3*222

看看是谁

加油，支持作者

感谢分享

不错

支持

感谢大佬分享

感谢分享！！

好东西，才看到

感谢分享

感谢分享

升级有点快

文中有写的清楚

剑哥，12G的显卡可以用吗？

感谢分享

谢谢分享！

看看看看

感谢大佬分享学习

大好人一枚

谢谢大佬分享

xiexie

谢谢分享

感谢分享

工作窗口不能最大化，有调整方法吗？

6.2版bug还是比较严重。处理图片速度变慢许多（人脸像素增强分辨率的原因）处理视频，生成的视频概率找不到

感谢大佬 ，非常有用

感謝大大分享~

感谢分享

感谢分享

感谢分享

谢谢分享

实在是太感谢了

顧客交流

谢谢分享

谢谢分享

感谢分享

谢谢分享

下载了您分享的傻木优化版20240930.7Z这版本

你仔细看看标题是什么？

不能安装啊

你用的不是我这个整合包吧?怎么会有这个路径出现？

能代替跳跳吗

感谢分享

3

感谢