Problem with controlnet

Nobody has claimed this yet.

I made this post a month ago:
https://github.com/lllyasviel/stable-diffusion-webui-forge/issues/1140

the problem is still present, so I cannot work with forge

I add the log: is it due to the message : "DeprecationWarning: pkg_resources is deprecated as an API" ??
if yes, what should I do? I already tried to re-install

Python 3.10.11 (tags/v3.10.11:7d4cc5a, Apr 5 2023, 00:38:17) [MSC v.1929 64 bit (AMD64)]
Version: f2.0.1v1.10.1-previous-531-g210af4f8
Commit hash: 210af4f80406f78a67e1c35a64a6febdf1200a82
E:\StableDiffusion\Packages\Stable Diffusion WebUI Forge\extensions\sd-webui-infinite-image-browsing\install.py:3: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html
import pkg_resources
E:\StableDiffusion\Packages\Stable Diffusion WebUI Forge\extensions-builtin\forge_legacy_preprocessors\install.py:2: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html
import pkg_resources
E:\StableDiffusion\Packages\Stable Diffusion WebUI Forge\extensions-builtin\sd_forge_controlnet\install.py:2: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html
import pkg_resources
Launching Web UI with arguments: --cuda-malloc --gradio-allowed-path 'E:\StableDiffusion\Images'
Using cudaMallocAsync backend.
Total VRAM 8192 MB, total RAM 32680 MB
pytorch version: 2.3.1+cu121
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce RTX 2060 SUPER : cudaMallocAsync
VAE dtype preferences: [torch.float32] -> torch.float32
CUDA Using Stream: False
Using pytorch cross attention
Using pytorch attention for VAE
ControlNet preprocessor location: E:\StableDiffusion\Packages\Stable Diffusion WebUI Forge\models\ControlNetPreprocessor
2024-09-16 13:27:08,909 - ControlNet - INFO - ControlNet UI callback registered.
Model selected: {'checkpoint_info': {'filename': 'E:\\StableDiffusion\\Packages\\Stable Diffusion WebUI Forge\\models\\Stable-diffusion\\Flux\\flux1-dev-bnb-nf4-v2.safetensors', 'hash': 'f0770152'}, 'additional_modules': [], 'unet_storage_dtype': None}
Using online LoRAs in FP16: False
Running on local URL: http://127.0.0.1:7861

To create a public link, set `share=True` in `launch()`.
IIB Database file has been successfully backed up to the backup folder.
Startup time: 84.0s (prepare environment: 23.7s, launcher: 0.2s, import torch: 43.7s, initialize shared: 0.9s, other imports: 4.4s, list SD models: 1.3s, load scripts: 6.0s, initialize extra networks: 0.1s, create ui: 2.9s, gradio launch: 1.4s, app_started_callback: 0.1s).

Start by comparing this report with the referenced issue 1140 and reproducing the launch using Python 3.10.11 at commit 210af4f80406f78a67e1c35a64a6febdf1200a82. Inspect the three listed install.py files and the sd_forge_controlnet extension, then determine whether the pkg_resources warning causes the reported inability to use Forge; done means identifying the actual failure and a verified remedy.

Written by the indexing model from the issue text.