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(SUPIR) sl00m@sl00m-H87-D3H:~/Projekte/Deeplearning/SUPIR$ python gradio_demo.py ╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮ │ /home/sl00m/Projekte/Deeplearning/SUPIR/gradio_demo.py:6 in <module> │ │ │ │ 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 │ │ │ │ /home/sl00m/Projekte/Deeplearning/SUPIR/SUPIR/util.py:8 in <module> │ │ │ │ 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): │ │ │ │ /home/sl00m/Projekte/Deeplearning/SUPIR/sgm/__init__.py:1 in <module> │ │ │ │ ❱ 1 from .models import AutoencodingEngine, DiffusionEngine │ │ 2 from .util import get_configs_path, instantiate_from_config │ │ 3 │ │ 4 __version__ = "0.1.0" │ │ │ │ /home/sl00m/Projekte/Deeplearning/SUPIR/sgm/models/__init__.py:1 in <module> │ │ │ │ ❱ 1 from .autoencoder import AutoencodingEngine │ │ 2 from .diffusion import DiffusionEngine │ │ 3 │ │ │ │ /home/sl00m/Projekte/Deeplearning/SUPIR/sgm/models/autoencoder.py:12 in <module> │ │ │ │ 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 │ │ │ │ /home/sl00m/Projekte/Deeplearning/SUPIR/sgm/modules/__init__.py:1 in <module> │ │ │ │ ❱ 1 from .encoders.modules import GeneralConditioner │ │ 2 from .encoders.modules import GeneralConditionerWithControl │ │ 3 from .encoders.modules import PreparedConditioner │ │ 4 │ │ │ │ /home/sl00m/Projekte/Deeplearning/SUPIR/sgm/modules/encoders/modules.py:22 in <module> │ │ │ │ 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 │ │ │ │ /home/sl00m/Projekte/Deeplearning/SUPIR/sgm/modules/diffusionmodules/__init__.py:6 in <module> │ │ │ │ 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 │ │ │ │ /home/sl00m/Projekte/Deeplearning/SUPIR/sgm/modules/diffusionmodules/sampling.py:20 in <module> │ │ │ │ 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 │ ╰──────────────────────────────────────────────────────────────────────────────────────────────────╯ ModuleNotFoundError: No module named 'k_diffusion' (SUPIR) sl00m@sl00m-H87-D3H:~/Projekte/Deeplearning/SUPIR$
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Solved with Pinokio. Standalone impossible to make it run.
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The text was updated successfully, but these errors were encountered: