Hello. I have another problem, now it’s related to controlnet.
I have next problems:
Traceback (most recent call last):
File “C:\Users\dovsy\Documents\pythonProject\stable_diffusion\venv\Lib\site-packages\huggingface_hub\utils_http.py”, line 406, in hf_raise_for_status
response.raise_for_status()
File “C:\Users\dovsy\Documents\pythonProject\stable_diffusion\venv\Lib\site-packages\requests\models.py”, line 1024, in raise_for_status
raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 404 Client Error: Not Found for url: [Preformatted text](https://huggingface.co/None/resolve/main/config.json)
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File “C:\Users\dovsy\Documents\pythonProject\stable_diffusion\venv\Lib\site-packages\diffusers\configuration_utils.py”, line 379, in load_config
config_file = hf_hub_download(
^^^^^^^^^^^^^^^^
File “C:\Users\dovsy\Documents\pythonProject\stable_diffusion\venv\Lib\site-packages\huggingface_hub\utils_validators.py”, line 114, in _inner_fn
return fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File “C:\Users\dovsy\Documents\pythonProject\stable_diffusion\venv\Lib\site-packages\huggingface_hub\file_download.py”, line 860, in hf_hub_download
return _hf_hub_download_to_cache_dir(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File “C:\Users\dovsy\Documents\pythonProject\stable_diffusion\venv\Lib\site-packages\huggingface_hub\file_download.py”, line 967, in _hf_hub_download_to_cache_dir
_raise_on_head_call_error(head_call_error, force_download, local_files_only)
File “C:\Users\dovsy\Documents\pythonProject\stable_diffusion\venv\Lib\site-packages\huggingface_hub\file_download.py”, line 1482, in _raise_on_head_call_error
raise head_call_error
File “C:\Users\dovsy\Documents\pythonProject\stable_diffusion\venv\Lib\site-packages\huggingface_hub\file_download.py”, line 1374, in _get_metadata_or_catch_error
metadata = get_hf_file_metadata(
^^^^^^^^^^^^^^^^^^^^^
File “C:\Users\dovsy\Documents\pythonProject\stable_diffusion\venv\Lib\site-packages\huggingface_hub\utils_validators.py”, line 114, in _inner_fn
return fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File “C:\Users\dovsy\Documents\pythonProject\stable_diffusion\venv\Lib\site-packages\huggingface_hub\file_download.py”, line 1294, in get_hf_file_metadata
r = _request_wrapper(
^^^^^^^^^^^^^^^^^
File “C:\Users\dovsy\Documents\pythonProject\stable_diffusion\venv\Lib\site-packages\huggingface_hub\file_download.py”, line 278, in _request_wrapper
response = _request_wrapper(
^^^^^^^^^^^^^^^^^
File “C:\Users\dovsy\Documents\pythonProject\stable_diffusion\venv\Lib\site-packages\huggingface_hub\file_download.py”, line 302, in _request_wrapper
hf_raise_for_status(response)
File “C:\Users\dovsy\Documents\pythonProject\stable_diffusion\venv\Lib\site-packages\huggingface_hub\utils_http.py”, line 454, in hf_raise_for_status
raise _format(RepositoryNotFoundError, message, response) from e
huggingface_hub.errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-67b37cb3-37fe29d90fe559b83ae5f1b7;2c044edd-b4d0-4bc8-8164-c8714e6ddbed)
Repository Not Found for url: https://huggingface.co/None/resolve/main/config.json.
Please make sure you specified the correct repo_id and repo_type.
If you are trying to access a private or gated repo, make sure you are authenticated.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File “C:\Users\dovsy\Documents\pythonProject\stable_diffusion\style_change.py”, line 15, in
controlnet = ControlNetModel.from_pretrained(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File “C:\Users\dovsy\Documents\pythonProject\stable_diffusion\venv\Lib\site-packages\huggingface_hub\utils_validators.py”, line 114, in _inner_fn
return fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File “C:\Users\dovsy\Documents\pythonProject\stable_diffusion\venv\Lib\site-packages\diffusers\models\modeling_utils.py”, line 687, in from_pretrained
config, unused_kwargs, commit_hash = cls.load_config(
^^^^^^^^^^^^^^^^
File “C:\Users\dovsy\Documents\pythonProject\stable_diffusion\venv\Lib\site-packages\huggingface_hub\utils_validators.py”, line 114, in _inner_fn
return fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File “C:\Users\dovsy\Documents\pythonProject\stable_diffusion\venv\Lib\site-packages\diffusers\configuration_utils.py”, line 394, in load_config
raise EnvironmentError(
OSError: None is not a local folder and is not a valid model identifier listed on ‘Models - Hugging Face’
If this is a private repository, make sure to pass a token having permission to this repo with token or log in with huggingface-cli login.
My code:
import torch
from controlnet_aux import CannyDetector
from diffusers import StableDiffusionControlNetPipeline, ControlNetModel
from diffusers.utils import load_image, make_image_grid
import os
MMIX_MODEL_PATH = os.getenv(‘MMIX_MODEL_PATH’)
IP_ADAPTER_PATH = os.getenv(‘IP_ADAPTER’)
CANNY_MODEL_PATH=os.getenv(‘CANNY_MODEL’)
img1 = ‘C:\Users\dovsy\Downloads\image-4.png’
img2 = ‘C:\Users\dovsy\Downloads\image-3.png’
controlnet = ControlNetModel.from_pretrained(
CANNY_MODEL_PATH,
torch_dtype=torch.float16
#varient=“fp16”
)
pipe = StableDiffusionControlNetPipeline.from_pretrained(
MMIX_MODEL_PATH,
controlnet=controlnet,
torch_dtype=torch.float16)
pipe.load_ip_adapter(
IP_ADAPTER_PATH+‘//models//ip-adapter_sd15.bin’,
#subfolder=“//models”,
#weight_name=“ip-adapter_sd15.bin”
)
ip_adap_img = load_image(img2)
img = load_image(img1).resize((768, 768))
canny = CannyDetector()
canny_img = canny(img, detect_resolution=512, image_resolution=768)
prompt = “”“(photorealistic:1.2), raw, masterpiece, high quality, 8k, girl wearing hoodie, headphones, hands in pocket”“”
negative_prompt = “low quality, ugly, mutated”
pipe.set_ip_adapter_scale(0.5)
images = pipe(prompt = prompt,
negative_prompt = negative_prompt,
height = 768,
width = 768,
ip_adapter_image = ip_adap_img,
image = canny_img,
guidance_scale = 6,
controlnet_conditioning_scale = 0.7,
num_inference_steps = 20
).images[0]
Can anyone help me?