一、问题描述最近因为项目需求需要下载 Stable-diffusion-1.5项目中给出的配置指令如下gitlfsinstallgitclone https://huggingface.co/runwayml/stable-diffusion-v1-5GIT_LFS_SKIP_SMUDGE1gitclone https://huggingface.co/runwayml/stable-diffusion-v1-5然而我在运行时无妨访问网站(python311)C:\Users\XXXgit lfsinstallGit LFS initialized.(python311)C:\Users\XXXgit clone https://huggingface.co/runwayml/stable-diffusion-v1-5 Cloning intostable-diffusion-v1-5... fatal: unable to accesshttps://huggingface.co/runwayml/stable-diffusion-v1-5/:Failed to connect to huggingface.co port443after21309ms: Couldnt connect to server这里先贴几个我觉得比较好的回答这可能是全网最好解决中国hugggingface.co无法访问问题请看评论区国内访问HuggingFace镜像网站全攻略2024最新二、解决方案由于我是个小白之前确实也没有搞过这些东西所以上面的解决方案我还是看得一知半解看完了还是不知道最后应该怎么弄。然后我问了下deep seek这里我的解决方案如下首先第一个指令git lfs install是成功了的直接来看第二个指令git clone https://huggingface.co/runwayml/stable-diffusion-v1-5法一失败使用hf-mirror.com 镜像站将命令改为如下形式gitclone https://hf-mirror.com/runwayml/stable-diffusion-v1-5执行后需要登录一下这里输入 GitHub 用户名密码或者邮箱登录一下就好了。然后输出如下Cloning intostable-diffusion-v1-5... remote: Password authenticationingitis no longer supported. You must use a user access token or an SSH key instead. See https://huggingface.co/blog/password-git-deprecation fatal: Authentication failedforhttps://hf-mirror.com/runwayml/stable-diffusion-v1-5/hf-mirror.com 镜像站现在也要求身份验证了返回 401 状态码并且它遵循了 Hugging Face 的官方策略——不再支持密码认证必须使用用户访问令牌User Access Token如何获取token呢还是需要登录 Hugging Face 获取。无解。法二失败使用 ModelScope 镜像站git下载在终端输入如下命令gitclone https://www.modelscope.cn/runwayml/stable-diffusion-v1-5.git输出如下Cloning intostable-diffusion-v1-5... remote: The project you were lookingforcould not be found or you dont have permission to view it. fatal: repository https://www.modelscope.cn/runwayml/stable-diffusion-v1-5.git/ not found没有这个地址。打开阿里达摩院官网在搜索框中搜索stable-diffusion-v1-5搜索结果如下可以看到正确的路径如图中所示。将命令改为gitclone https://www.modelscope.cn/AI-ModelScope/stable-diffusion-v1-5.git接下来是漫长的等待下载过程…然后出现如下错误(python311)C:\Users\XXXgit clone https://www.modelscope.cn/AI-ModelScope/stable-diffusion-v1-5.git Cloning intostable-diffusion-v1-5... remote: Enumerating objects:94, done. Receiving objects:100%(94/94),530.76KiB|3.40MiB/s, done. remote: Total94(delta0), reused0(delta0), pack-reused94Resolving deltas:100%(28/28), done. Downloading v1-5-pruned.ckpt(7.7GB)5GiB|284.00KiB/s Error downloading object: v1-5-pruned.ckpt(e144158): Smudge error: Error downloading v1-5-pruned.ckpt(e1441589a6f3c5a53f5f54d0975a18a7feb7cdf0b0dee276dfc3331ae376a053): expected OID e1441589a6f3c5a53f5f54d0975a18a7feb7cdf0b0dee276dfc3331ae376a053, got 754f8f58b3887d9c555170089143ad1475a565defecaac1458cfc35bf965e1f3 after514795922bytes written Errors logged toC:\Users\XXX\stable-diffusion-v1-5\.git\lfs\logs\20260324T225327.4163635.log.Usegitlfs logs lastto view the log. error: external filtergit-lfs filter-processfailed fatal: v1-5-pruned.ckpt: smudge filter lfs failed warning: Clone succeeded, but checkout failed. You can inspect what was checked out withgit statusand retry withgit restore --sourceHEAD :/好像是因为网络不稳定吧文件又太大反正折腾了两天以后还是下载失败了。再回到阿里达摩院官网我们直接点击模型下方的下载链接可以看到官方给了我们几个下载命令分别是命令行下载、SDK下载和git下载显然 git 下载命令和项目中给出的参考命令是一致的也就是我们方法二中尝试的但是最终失败了。接下来我们试试使用命令行下载。法三成功使用 ModelScope 镜像站命令行下载在终端依次输入如下命令pipinstallmodelscope modelscope download--modelAI-ModelScope/stable-diffusion-v1-5--local_dirE:\XXX\stable-diffusion-v1-5根据我所配置的项目需求这里我将文件存放在项目的根目录下。(python311)C:\Users\XXXmodelscope download--modelAI-ModelScope/stable-diffusion-v1-5--local_dirE:\project\Ph\DADO\Diffusion-Domain-Teacher-main\stable-diffusion-v1-5 _ .-) _ .-)_(-. .-)_(-.(-. ( .(OO)_((OO))_(OO)(OO).((OO)_(OO),--. ,--.).-),-----. \ ._(,------.,--.(_)---\_).-----. .-),-----. _.\(,------.|. |( OO.-. ,--..._)|.---| |.-)/ _| .--./ ( OO.-.(__...--|.--- | |/ | | | || | \ ||||OO)\:.||(-. / | | | | | / | | | | | |.| |\_) | |\| || | |(|--. | |-|...)/_)|OO)\_)||\||||_. |(| --.||||\||||||/:|.--(| ---..-._) \ || |-|\|||||.___. | .--||||-| -- /|---.||\/(_ --\ - | | | ---. --------- ------------------- --------------- -------- Downloading Model from https://www.modelscope.cn to directory: E:\project\Ph\DADO\Diffusion-Domain-Teacher-main\stable-diffusion-v1-5 Downloading[safety_checker/config.json]:100%|███████████████████████████████████|4.61k/4.61k[00:0000:00,20.3kB/s]Downloading[vae/config.json]:100%|██████████████████████████████████████████████████|547/547[00:0000:00,2.19kB/s]Downloading[configuration.json]:100%|███████████████████████████████████████████|1.65k/1.65k[00:0000:00,6.91kB/s]Downloading[text_encoder/config.json]:100%|█████████████████████████████████████████|617/617[00:0000:00,2.35kB/s]Downloading[unet/config.json]:100%|█████████████████████████████████████████████████|743/743[00:0000:00,2.10kB/s]Downloading[model_index.json]:100%|█████████████████████████████████████████████████|543/543[00:0000:00,2.18kB/s]Downloading[tokenizer/merges.txt]:100%|███████████████████████████████████████████|512k/512k[00:0000:00,1.22MB/s]Downloading[feature_extractor/preprocessor_config.json]:100%|█████████████████████████|342/342[00:0000:00, 615B/s]Downloading[text_encoder/model.safetensors]:100%|█████████████████████████████████|469M/469M[04:4100:00,1.75MB/s]Downloading[README.md]:100%|████████████████████████████████████████████████████|14.0k/14.0k[00:0000:00,32.0kB/s]Downloading[scheduler/scheduler_config.json]:100%|████████████████████████████████████|308/308[00:0000:00, 839B/s]Downloading[tokenizer/special_tokens_map.json]:100%|████████████████████████████████|472/472[00:0000:00,1.25kB/s]Downloading[tokenizer/tokenizer_config.json]:100%|██████████████████████████████████|806/806[00:0000:00,1.79kB/s]Downloading[vae/diffusion_pytorch_model.bin]:100%|█████████████████████████████████|319M/319M[10:4900:00, 515kB/s]Downloading[vae/diffusion_pytorch_model.safetensors]:100%|█████████████████████████|319M/319M[11:5500:00, 468kB/s]Downloading[safety_checker/pytorch_model.bin]:100%|█████████████████████████████|1.13G/1.13G[12:3300:00,1.61MB/s]Downloading[text_encoder/pytorch_model.bin]:100%|██████████████████████████████████|469M/469M[37:0000:00, 222kB/s]Downloading[v1-inference.yaml]:100%|████████████████████████████████████████████|1.83k/1.83k[00:0000:00,5.69kB/s]Downloading[tokenizer/vocab.json]:100%|██████████████████████████████████████████|1.01M/1.01M[00:0100:00, 588kB/s]Downloading[v1-5-pruned-emaonly.safetensors]:100%|██████████████████████████████|3.97G/3.97G[31:5700:00,2.22MB/s]Downloading[unet/diffusion_pytorch_model.bin]:100%|█████████████████████████████|3.20G/3.20G[46:2400:00,1.23MB/s]Downloading[safety_checker/model.safetensors]:100%|██████████████████████████████|1.13G/1.13G[47:4100:00, 425kB/s]Downloading[unet/diffusion_pytorch_model.safetensors]:100%|█████████████████████|3.20G/3.20G[56:5800:00,1.01MB/s]Downloading[v1-5-pruned-emaonly.ckpt]:100%|████████████████████████████████████|3.97G/3.97G[1:11:3200:00, 994kB/s]Downloading[v1-5-pruned.ckpt]:100%|███████████████████████████████████████████|7.17G/7.17G[1:18:0200:00,1.65MB/s]Downloading[v1-5-pruned.safetensors]:100%|████████████████████████████████████|7.17G/7.17G[1:23:4000:00,1.53MB/s]Processing26items:100%|█████████████████████████████████████████████████████████|26.0/26.0[1:36:1400:00, 222s/it]Downloading[v1-5-pruned.safetensors]:100%|███████████████████████████████████▉|7.17G/7.17G[1:23:4000:00,6.33MB/s]Successfully Downloaded from model AI-ModelScope/stable-diffusion-v1-5.▉|1.67G/3.20G[46:2325:42,1.06MB/s]Downloading[unet/diffusion_pytorch_model.safetensors]:58%|████████████▏|1.86G/3.20G[47:4008:33,2.81MB/s]Downloading[unet/diffusion_pytorch_model.safetensors]:100%|█████████████████████|3.20G/3.20G[56:5800:00,2.65MB/s]虽然图中有一行文件显示只下载了58%但这里应该是多文件并行下载时进度显示错位造成的。查看文件大小也没有问题。因此这就算是下载成功了。
win11配置Stable-diffusion-1.5
一、问题描述最近因为项目需求需要下载 Stable-diffusion-1.5项目中给出的配置指令如下gitlfsinstallgitclone https://huggingface.co/runwayml/stable-diffusion-v1-5GIT_LFS_SKIP_SMUDGE1gitclone https://huggingface.co/runwayml/stable-diffusion-v1-5然而我在运行时无妨访问网站(python311)C:\Users\XXXgit lfsinstallGit LFS initialized.(python311)C:\Users\XXXgit clone https://huggingface.co/runwayml/stable-diffusion-v1-5 Cloning intostable-diffusion-v1-5... fatal: unable to accesshttps://huggingface.co/runwayml/stable-diffusion-v1-5/:Failed to connect to huggingface.co port443after21309ms: Couldnt connect to server这里先贴几个我觉得比较好的回答这可能是全网最好解决中国hugggingface.co无法访问问题请看评论区国内访问HuggingFace镜像网站全攻略2024最新二、解决方案由于我是个小白之前确实也没有搞过这些东西所以上面的解决方案我还是看得一知半解看完了还是不知道最后应该怎么弄。然后我问了下deep seek这里我的解决方案如下首先第一个指令git lfs install是成功了的直接来看第二个指令git clone https://huggingface.co/runwayml/stable-diffusion-v1-5法一失败使用hf-mirror.com 镜像站将命令改为如下形式gitclone https://hf-mirror.com/runwayml/stable-diffusion-v1-5执行后需要登录一下这里输入 GitHub 用户名密码或者邮箱登录一下就好了。然后输出如下Cloning intostable-diffusion-v1-5... remote: Password authenticationingitis no longer supported. You must use a user access token or an SSH key instead. See https://huggingface.co/blog/password-git-deprecation fatal: Authentication failedforhttps://hf-mirror.com/runwayml/stable-diffusion-v1-5/hf-mirror.com 镜像站现在也要求身份验证了返回 401 状态码并且它遵循了 Hugging Face 的官方策略——不再支持密码认证必须使用用户访问令牌User Access Token如何获取token呢还是需要登录 Hugging Face 获取。无解。法二失败使用 ModelScope 镜像站git下载在终端输入如下命令gitclone https://www.modelscope.cn/runwayml/stable-diffusion-v1-5.git输出如下Cloning intostable-diffusion-v1-5... remote: The project you were lookingforcould not be found or you dont have permission to view it. fatal: repository https://www.modelscope.cn/runwayml/stable-diffusion-v1-5.git/ not found没有这个地址。打开阿里达摩院官网在搜索框中搜索stable-diffusion-v1-5搜索结果如下可以看到正确的路径如图中所示。将命令改为gitclone https://www.modelscope.cn/AI-ModelScope/stable-diffusion-v1-5.git接下来是漫长的等待下载过程…然后出现如下错误(python311)C:\Users\XXXgit clone https://www.modelscope.cn/AI-ModelScope/stable-diffusion-v1-5.git Cloning intostable-diffusion-v1-5... remote: Enumerating objects:94, done. Receiving objects:100%(94/94),530.76KiB|3.40MiB/s, done. remote: Total94(delta0), reused0(delta0), pack-reused94Resolving deltas:100%(28/28), done. Downloading v1-5-pruned.ckpt(7.7GB)5GiB|284.00KiB/s Error downloading object: v1-5-pruned.ckpt(e144158): Smudge error: Error downloading v1-5-pruned.ckpt(e1441589a6f3c5a53f5f54d0975a18a7feb7cdf0b0dee276dfc3331ae376a053): expected OID e1441589a6f3c5a53f5f54d0975a18a7feb7cdf0b0dee276dfc3331ae376a053, got 754f8f58b3887d9c555170089143ad1475a565defecaac1458cfc35bf965e1f3 after514795922bytes written Errors logged toC:\Users\XXX\stable-diffusion-v1-5\.git\lfs\logs\20260324T225327.4163635.log.Usegitlfs logs lastto view the log. error: external filtergit-lfs filter-processfailed fatal: v1-5-pruned.ckpt: smudge filter lfs failed warning: Clone succeeded, but checkout failed. You can inspect what was checked out withgit statusand retry withgit restore --sourceHEAD :/好像是因为网络不稳定吧文件又太大反正折腾了两天以后还是下载失败了。再回到阿里达摩院官网我们直接点击模型下方的下载链接可以看到官方给了我们几个下载命令分别是命令行下载、SDK下载和git下载显然 git 下载命令和项目中给出的参考命令是一致的也就是我们方法二中尝试的但是最终失败了。接下来我们试试使用命令行下载。法三成功使用 ModelScope 镜像站命令行下载在终端依次输入如下命令pipinstallmodelscope modelscope download--modelAI-ModelScope/stable-diffusion-v1-5--local_dirE:\XXX\stable-diffusion-v1-5根据我所配置的项目需求这里我将文件存放在项目的根目录下。(python311)C:\Users\XXXmodelscope download--modelAI-ModelScope/stable-diffusion-v1-5--local_dirE:\project\Ph\DADO\Diffusion-Domain-Teacher-main\stable-diffusion-v1-5 _ .-) _ .-)_(-. .-)_(-.(-. ( .(OO)_((OO))_(OO)(OO).((OO)_(OO),--. ,--.).-),-----. \ ._(,------.,--.(_)---\_).-----. .-),-----. _.\(,------.|. |( OO.-. ,--..._)|.---| |.-)/ _| .--./ ( OO.-.(__...--|.--- | |/ | | | || | \ ||||OO)\:.||(-. / | | | | | / | | | | | |.| |\_) | |\| || | |(|--. | |-|...)/_)|OO)\_)||\||||_. |(| --.||||\||||||/:|.--(| ---..-._) \ || |-|\|||||.___. | .--||||-| -- /|---.||\/(_ --\ - | | | ---. --------- ------------------- --------------- -------- Downloading Model from https://www.modelscope.cn to directory: E:\project\Ph\DADO\Diffusion-Domain-Teacher-main\stable-diffusion-v1-5 Downloading[safety_checker/config.json]:100%|███████████████████████████████████|4.61k/4.61k[00:0000:00,20.3kB/s]Downloading[vae/config.json]:100%|██████████████████████████████████████████████████|547/547[00:0000:00,2.19kB/s]Downloading[configuration.json]:100%|███████████████████████████████████████████|1.65k/1.65k[00:0000:00,6.91kB/s]Downloading[text_encoder/config.json]:100%|█████████████████████████████████████████|617/617[00:0000:00,2.35kB/s]Downloading[unet/config.json]:100%|█████████████████████████████████████████████████|743/743[00:0000:00,2.10kB/s]Downloading[model_index.json]:100%|█████████████████████████████████████████████████|543/543[00:0000:00,2.18kB/s]Downloading[tokenizer/merges.txt]:100%|███████████████████████████████████████████|512k/512k[00:0000:00,1.22MB/s]Downloading[feature_extractor/preprocessor_config.json]:100%|█████████████████████████|342/342[00:0000:00, 615B/s]Downloading[text_encoder/model.safetensors]:100%|█████████████████████████████████|469M/469M[04:4100:00,1.75MB/s]Downloading[README.md]:100%|████████████████████████████████████████████████████|14.0k/14.0k[00:0000:00,32.0kB/s]Downloading[scheduler/scheduler_config.json]:100%|████████████████████████████████████|308/308[00:0000:00, 839B/s]Downloading[tokenizer/special_tokens_map.json]:100%|████████████████████████████████|472/472[00:0000:00,1.25kB/s]Downloading[tokenizer/tokenizer_config.json]:100%|██████████████████████████████████|806/806[00:0000:00,1.79kB/s]Downloading[vae/diffusion_pytorch_model.bin]:100%|█████████████████████████████████|319M/319M[10:4900:00, 515kB/s]Downloading[vae/diffusion_pytorch_model.safetensors]:100%|█████████████████████████|319M/319M[11:5500:00, 468kB/s]Downloading[safety_checker/pytorch_model.bin]:100%|█████████████████████████████|1.13G/1.13G[12:3300:00,1.61MB/s]Downloading[text_encoder/pytorch_model.bin]:100%|██████████████████████████████████|469M/469M[37:0000:00, 222kB/s]Downloading[v1-inference.yaml]:100%|████████████████████████████████████████████|1.83k/1.83k[00:0000:00,5.69kB/s]Downloading[tokenizer/vocab.json]:100%|██████████████████████████████████████████|1.01M/1.01M[00:0100:00, 588kB/s]Downloading[v1-5-pruned-emaonly.safetensors]:100%|██████████████████████████████|3.97G/3.97G[31:5700:00,2.22MB/s]Downloading[unet/diffusion_pytorch_model.bin]:100%|█████████████████████████████|3.20G/3.20G[46:2400:00,1.23MB/s]Downloading[safety_checker/model.safetensors]:100%|██████████████████████████████|1.13G/1.13G[47:4100:00, 425kB/s]Downloading[unet/diffusion_pytorch_model.safetensors]:100%|█████████████████████|3.20G/3.20G[56:5800:00,1.01MB/s]Downloading[v1-5-pruned-emaonly.ckpt]:100%|████████████████████████████████████|3.97G/3.97G[1:11:3200:00, 994kB/s]Downloading[v1-5-pruned.ckpt]:100%|███████████████████████████████████████████|7.17G/7.17G[1:18:0200:00,1.65MB/s]Downloading[v1-5-pruned.safetensors]:100%|████████████████████████████████████|7.17G/7.17G[1:23:4000:00,1.53MB/s]Processing26items:100%|█████████████████████████████████████████████████████████|26.0/26.0[1:36:1400:00, 222s/it]Downloading[v1-5-pruned.safetensors]:100%|███████████████████████████████████▉|7.17G/7.17G[1:23:4000:00,6.33MB/s]Successfully Downloaded from model AI-ModelScope/stable-diffusion-v1-5.▉|1.67G/3.20G[46:2325:42,1.06MB/s]Downloading[unet/diffusion_pytorch_model.safetensors]:58%|████████████▏|1.86G/3.20G[47:4008:33,2.81MB/s]Downloading[unet/diffusion_pytorch_model.safetensors]:100%|█████████████████████|3.20G/3.20G[56:5800:00,2.65MB/s]虽然图中有一行文件显示只下载了58%但这里应该是多文件并行下载时进度显示错位造成的。查看文件大小也没有问题。因此这就算是下载成功了。
