折腾了一天，还是没搞定

[theoldsong]

模型下了半天，结果还是各种报错，看Issues里有人说triton不用装，结果不装报错，triton好像只支持linux，找了一个大佬封装的win版本，结果又报错，这个必须cuda12.1才能用吗？ WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for: PyTorch 2.3.0+cu121 with CUDA 1201 (you have 2.3.1+cu118) Python 3.8.10 (you have 3.8.19) 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 A matching Triton is not available, some optimizations will not be enabled Traceback (most recent call last): File "D:\anaconda3\envs\supir\lib\site-packages\xformers_init_.py", line 55, in is_triton_available from xformers.triton.softmax import softmax as triton_softmax # noqa File "D:\anaconda3\envs\supir\lib\site-packages\xformers\triton\softmax.py", line 11, in import triton File "D:\anaconda3\envs\supir\lib\site-packages\triton_init.py", line 10, in from .runtime import Config, autotune, heuristics, JITFunction, KernelInterface File "D:\anaconda3\envs\supir\lib\site-packages\triton\runtime_init_.py", line 1, in from .autotuner import Config, Heuristics, autotune, heuristics # noqa: F401 File "D:\anaconda3\envs\supir\lib\site-packages\triton\runtime\autotuner.py", line 7, in from ..testing import do_bench File "D:\anaconda3\envs\supir\lib\site-packages\triton\testing.py", line 9, in import triton.C.libtriton.triton as triton ImportError: DLL load failed while importing libtriton: 找不到指定的模块。 ╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮ │ E:\python\SUPIR\gradio_demo.py:6 in │ │ │ │ 3 import gradio as gr │ │ 4 from gradio_imageslider import ImageSlider │ │ 5 import argparse │ │ ❱ 6 from SUPIR.util import HWC3, upscale_image, fix_resize, convert_dtype │ │ 7 import numpy as np │ │ 8 import torch │ │ 9 from SUPIR.util import create_SUPIR_model, load_QF_ckpt │ │ │ │ E:\python\SUPIR\SUPIR\util.py:8 in │ │ │ │ 5 from PIL import Image │ │ 6 from torch.nn.functional import interpolate │ │ 7 from omegaconf import OmegaConf │ │ ❱ 8 from sgm.util import instantiate_from_config │ │ 9 │ │ 10 │ │ 11 def get_state_dict(d): │ │ │ │ E:\python\SUPIR\sgm_init.py:1 in │ │ │ │ ❱ 1 from .models import AutoencodingEngine, DiffusionEngine │ │ 2 from .util import get_configs_path, instantiate_from_config │ │ 3 │ │ 4 version = "0.1.0" │ │ │ │ E:\python\SUPIR\sgm\models_init.py:1 in │ │ │ │ ❱ 1 from .autoencoder import AutoencodingEngine │ │ 2 from .diffusion import DiffusionEngine │ │ 3 │ │ │ │ E:\python\SUPIR\sgm\models\autoencoder.py:12 in │ │ │ │ 9 from packaging import version │ │ 10 from safetensors.torch import load_file as load_safetensors │ │ 11 │ │ ❱ 12 from ..modules.diffusionmodules.model import Decoder, Encoder │ │ 13 from ..modules.distributions.distributions import DiagonalGaussianDistribution │ │ 14 from ..modules.ema import LitEma │ │ 15 from ..util import default, get_obj_from_str, instantiate_from_config │ │ │ │ E:\python\SUPIR\sgm\modules_init_.py:1 in │ │ │ │ ❱ 1 from .encoders.modules import GeneralConditioner │ │ 2 from .encoders.modules import GeneralConditionerWithControl │ │ 3 from .encoders.modules import PreparedConditioner │ │ 4 │ │ │ │ E:\python\SUPIR\sgm\modules\encoders\modules.py:22 in │ │ │ │ 19 ) │ │ 20 │ │ 21 from ...modules.autoencoding.regularizers import DiagonalGaussianRegularizer │ │ ❱ 22 from ...modules.diffusionmodules.model import Encoder │ │ 23 from ...modules.diffusionmodules.openaimodel import Timestep │ │ 24 from ...modules.diffusionmodules.util import extract_into_tensor, make_beta_schedule │ │ 25 from ...modules.distributions.distributions import DiagonalGaussianDistribution │ │ │ │ E:\python\SUPIR\sgm\modules\diffusionmodules_init_.py:6 in │ │ │ │ 3 from .loss import StandardDiffusionLoss │ │ 4 from .model import Decoder, Encoder, Model │ │ 5 from .openaimodel import UNetModel │ │ ❱ 6 from .sampling import BaseDiffusionSampler │ │ 7 from .wrappers import OpenAIWrapper │ │ 8 │ │ │ │ E:\python\SUPIR\sgm\modules\diffusionmodules\sampling.py:20 in │ │ │ │ 17 │ to_sigma, │ │ 18 ) │ │ 19 from ...util import append_dims, default, instantiate_from_config │ │ ❱ 20 from k_diffusion.sampling import get_sigmas_karras, BrownianTreeNoiseSampler │ │ 21 │ │ 22 DEFAULT_GUIDER = {"target": "sgm.modules.diffusionmodules.guiders.IdentityGuider"} │ │ 23 │ │ │ │ D:\anaconda3\envs\supir\lib\site-packages\k_diffusion_init_.py:1 in │ │ │ │ ❱ 1 from . import augmentation, config, evaluation, external, gns, layers, models, sampling, │ │ 2 from .layers import Denoiser │ │ 3 │ │ │ │ D:\anaconda3\envs\supir\lib\site-packages\k_diffusion\evaluation.py:6 in │ │ │ │ 3 from pathlib import Path │ │ 4 │ │ 5 from cleanfid.inception_torchscript import InceptionV3W │ │ ❱ 6 import clip │ │ 7 import torch │ │ 8 from torch import nn │ │ 9 from torch.nn import functional as F │ │ │ │ D:\anaconda3\envs\supir\lib\site-packages\clip_init_.py:1 in │ │ │ │ ❱ 1 from .clip import * │ │ 2 │ │ │ │ D:\anaconda3\envs\supir\lib\site-packages\clip\clip.py:6 in │ │ │ │ 3 import urllib │ │ 4 import warnings │ │ 5 from typing import Any, Union, List │ │ ❱ 6 from pkg_resources import packaging │ │ 7 │ │ 8 import torch │ │ 9 from PIL import Image │ ╰──────────────────────────────────────────────────────────────────────────────────────────────────╯ ImportError: cannot import name 'packaging' from 'pkg_resources' (D:\anaconda3\envs\supir\lib\site-packages\pkg_resources_init_.py)