赞
踩
Launching Web UI with arguments: --skip-torch-cuda-test --upcast-sampling --no-half-vae --use-cpu interrogate no module 'xformers'. Processing without... No SDP backend available, likely because you are running in pytorch versions < 2.0. In fact, you are using PyTorch 1.12.1. You might want to consider upgrading. no module 'xformers'. Processing without... No module 'xformers'. Proceeding without it. Style database not found: /Users/wuzhanxi/stable-diffusion-webui/styles.csv Warning: caught exception 'Torch not compiled with CUDA enabled', memory monitor disabled ============================================================================== You are running torch 1.12.1. The program is tested to work with torch 2.0.0. To reinstall the desired version, run with commandline flag --reinstall-torch. Beware that this will cause a lot of large files to be downloaded, as well as there are reports of issues with training tab on the latest version. Use --skip-version-check commandline argument to disable this check. ============================================================================== Downloading: "https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.safetensors" to /Users/wuzhanxi/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.safetensors WARNING:modules.mac_specific:MPS garbage collection failed Traceback (most recent call last): File "/Users/wuzhanxi/stable-diffusion-webui/modules/mac_specific.py", line 38, in torch_mps_gc from torch.mps import empty_cache ModuleNotFoundError: No module named 'torch.mps'
原因:torch 的版本不对
解决方案:在安装目录stable-diffusion-webui 下,编辑webui-macos-env.sh 文件
我的原来的配置文件如下;
export install_dir="$HOME"
export COMMANDLINE_ARGS="--skip-torch-cuda-test --upcast-sampling --no-half-vae --use-cpu interrogate"
export TORCH_COMMAND="pip install torch==1.12.1 torchvision==0.13.1"
export K_DIFFUSION_REPO="https://github.com/brkirch/k-diffusion.git"
export K_DIFFUSION_COMMIT_HASH="51c9778f269cedb55a4d88c79c0246d35bdadb71"
export PYTORCH_ENABLE_MPS_FALLBACK=1
修改好的配置文件如下;1.在COMMANDLINE_ARGS 参数的后面添加了–reinstall-torch
2.export TORCH_COMMAND=“pip install torch2.0.1 torchvision0.15.2”,将torch的版本修改成2.0的
export install_dir="$HOME"
export COMMANDLINE_ARGS="--skip-torch-cuda-test --upcast-sampling --no-half-vae --use-cpu interrogate --reinstall-torch"
export TORCH_COMMAND="pip install torch==2.0.1 torchvision==0.15.2"
#export TORCH_COMMAND="pip install torch==1.12.1 torchvision==0.13.1"
export K_DIFFUSION_REPO="https://github.com/brkirch/k-diffusion.git"
export K_DIFFUSION_COMMIT_HASH="51c9778f269cedb55a4d88c79c0246d35bdadb71"
export PYTORCH_ENABLE_MPS_FALLBACK=1
Running on local URL: http://127.0.0.1:7860 To create a public link, set `share=True` in `launch()`. Startup time: 4.4s (prepare environment: 0.9s, import torch: 1.2s, import gradio: 0.4s, setup paths: 0.5s, other imports: 0.4s, load scripts: 0.3s, create ui: 0.2s, gradio launch: 0.3s). Creating model from config: /Users/wuzhanxi/stable-diffusion-webui/configs/v1-inference.yaml creating model quickly: OSError Traceback (most recent call last): File "/opt/homebrew/Cellar/python@3.10/3.10.13_2/Frameworks/Python.framework/Versions/3.10/lib/python3.10/threading.py", line 973, in _bootstrap self._bootstrap_inner() File "/opt/homebrew/Cellar/python@3.10/3.10.13_2/Frameworks/Python.framework/Versions/3.10/lib/python3.10/threading.py", line 1016, in _bootstrap_inner self.run() File "/opt/homebrew/Cellar/python@3.10/3.10.13_2/Frameworks/Python.framework/Versions/3.10/lib/python3.10/threading.py", line 953, in run self._target(*self._args, **self._kwargs) File "/Users/wuzhanxi/stable-diffusion-webui/modules/initialize.py", line 147, in load_model shared.sd_model # noqa: B018 File "/Users/wuzhanxi/stable-diffusion-webui/modules/shared_items.py", line 128, in sd_model return modules.sd_models.model_data.get_sd_model() File "/Users/wuzhanxi/stable-diffusion-webui/modules/sd_models.py", line 531, in get_sd_model load_model() File "/Users/wuzhanxi/stable-diffusion-webui/modules/sd_models.py", line 634, in load_model sd_model = instantiate_from_config(sd_config.model) File "/Users/wuzhanxi/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/util.py", line 89, in instantiate_from_config return get_obj_from_str(config["target"])(**config.get("params", dict())) File "/Users/wuzhanxi/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 563, in __init__ self.instantiate_cond_stage(cond_stage_config) File "/Users/wuzhanxi/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 630, in instantiate_cond_stage model = instantiate_from_config(config) File "/Users/wuzhanxi/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/util.py", line 89, in instantiate_from_config return get_obj_from_str(config["target"])(**config.get("params", dict())) File "/Users/wuzhanxi/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/encoders/modules.py", line 104, in __init__ self.tokenizer = CLIPTokenizer.from_pretrained(version) File "/opt/homebrew/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 1809, in from_pretrained raise EnvironmentError( OSError: Can't load tokenizer for 'openai/clip-vit-large-patch14'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'openai/clip-vit-large-patch14' is the correct path to a directory containing all relevant files for a CLIPTokenizer tokenizer. Failed to create model quickly; will retry using slow method. loading stable diffusion model: OSError Traceback (most recent call last): File "/opt/homebrew/Cellar/python@3.10/3.10.13_2/Frameworks/Python.framework/Versions/3.10/lib/python3.10/threading.py", line 973, in _bootstrap self._bootstrap_inner() File "/opt/homebrew/Cellar/python@3.10/3.10.13_2/Frameworks/Python.framework/Versions/3.10/lib/python3.10/threading.py", line 1016, in _bootstrap_inner self.run() File "/opt/homebrew/Cellar/python@3.10/3.10.13_2/Frameworks/Python.framework/Versions/3.10/lib/python3.10/threading.py", line 953, in run self._target(*self._args, **self._kwargs) File "/Users/wuzhanxi/stable-diffusion-webui/modules/initialize.py", line 147, in load_model shared.sd_model # noqa: B018 File "/Users/wuzhanxi/stable-diffusion-webui/modules/shared_items.py", line 128, in sd_model return modules.sd_models.model_data.get_sd_model() File "/Users/wuzhanxi/stable-diffusion-webui/modules/sd_models.py", line 531, in get_sd_model load_model() File "/Users/wuzhanxi/stable-diffusion-webui/modules/sd_models.py", line 643, in load_model sd_model = instantiate_from_config(sd_config.model) File "/Users/wuzhanxi/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/util.py", line 89, in instantiate_from_config return get_obj_from_str(config["target"])(**config.get("params", dict())) File "/Users/wuzhanxi/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 563, in __init__ self.instantiate_cond_stage(cond_stage_config) File "/Users/wuzhanxi/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 630, in instantiate_cond_stage model = instantiate_from_config(config) File "/Users/wuzhanxi/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/util.py", line 89, in instantiate_from_config return get_obj_from_str(config["target"])(**config.get("params", dict())) File "/Users/wuzhanxi/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/encoders/modules.py", line 104, in __init__ self.tokenizer = CLIPTokenizer.from_pretrained(version) File "/opt/homebrew/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 1809, in from_pretrained raise EnvironmentError( OSError: Can't load tokenizer for 'openai/clip-vit-large-patch14'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'openai/clip-vit-large-patch14' is the correct path to a directory containing all relevant files for a CLIPTokenizer tokenizer.
原因:clip-vit-large-patch14 国内已经不能访问了
需要手动创建openai 目录并把 下载后解压的资源拖入到openai目录下面
安装sd的时候,本地你自己的目录下会同时生成一个sd的目录,我的是这样的
/Users/wuzhanxi/stable-diffusion-webui,在这个目录下手动创建一个openai目录
可以用的模型的代码:
链接: https://pan.baidu.com/s/1EBptJ2v9inq9A5LEYFfBMg 提取码: dh2b
在执行完 ./webui.sh 后报 “RuntimeError: Couldn’t install gfpgan.”
其实是因为没有下载下来 gfpgan。我们可以从报错信息中找到下载链接,如下图中横线部分。
然后 copy 这个链接到浏览器中进行下载,然后将下载好的 zip 文件加压,并将目录名改成 GFPGAN,然后拖到 stable-diffusion-webui 这个目录下就好了。
当再次执行 ./webui.sh 时,发现已经跨过下载 GFPGAN,继续下载其他依赖了。
Copyright © 2003-2013 www.wpsshop.cn 版权所有,并保留所有权利。