ERROR: No matching distribution found for xformers==0.0.26.dev778

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Successfully installed library-0.0.0 ERROR: Could not find a version that satisfies the requirement xformers==0.0.26.dev778 (from versions: 0.0.1, 0.0.2, 0.0.3, 0.0.4, 0.0.5, 0.0.6, 0.0.7, 0.0.8, 0.0.9, 0.0.10, 0.0.11, 0.0.12, 0.0.13, 0.0.16rc424, 0.0.16rc425, 0.0.16, 0.0.17rc481, 0.0.17rc482, 0.0.17, 0.0.18, 0.0.19, 0.0.20, 0.0.21, 0.0.22, 0.0.22.post7, 0.0.23, 0.0.23.post1, 0.0.24, 0.0.25, 0.0.25.post1, 0.0.26.post1, 0.0.27, 0.0.27.post1, 0.0.27.post2, 0.0.28.dev911, 0.0.28, 0.0.28.post1, 0.0.29.dev912) ERROR: No matching distribution found for xformers==0.0.26.dev778

✅ Installation finished in 51 seconds.

🔄 Getting model...

ValueError Traceback (most recent call last) in <cell line: 593>() 591 "### There will be several files, you should try the latest version (the file with the largest number next to it)")) 592 --> 593 main()

1 frames in download_model() 492 print("🍃 Diffusers model identified.") # Will be handled by kohya 493 return True --> 494 raise ValueError("💥 Failed to load Diffusers model. If this model is not Diffusers, have you tried turning it off at the top of the colab?") 495 496 # Define local filename

ValueError: 💥 Failed to load Diffusers model. If this model is not Diffusers, have you tried turning it off at the top of the colab?

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ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. torchaudio 2.4.1+cu121 requires torch==2.4.1, but you have torch 2.3.0 which is incompatible. torchvision 0.19.1+cu121 requires torch==2.4.1, but you have torch 2.3.0 which is incompatible.

✅ Installation finished in 234 seconds.

🔄 Getting model... /usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:89: UserWarning: The secret HF_TOKEN does not exist in your Colab secrets. To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session. You will be able to reuse this secret in all of your notebooks. Please note that authentication is recommended but still optional to access public models or datasets. warnings.warn(

ValueError Traceback (most recent call last) in <cell line: 593>() 591 "### There will be several files, you should try the latest version (the file with the largest number next to it)")) 592 --> 593 main()

1 frames in download_model() 492 print("🍃 Diffusers model identified.") # Will be handled by kohya 493 return True --> 494 raise ValueError("💥 Failed to load Diffusers model. If this model is not Diffusers, have you tried turning it off at the top of the colab?") 495 496 # Define local filename

ValueError: 💥 Failed to load Diffusers model. If this model is not Diffusers, have you tried turning it off at the top of the colab?

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Traceback (most recent call last): File "/content/kohya-trainer/train_network_xl_wrapper.py", line 2, in from sdxl_train_network import setup_parser, SdxlNetworkTrainer File "/content/kohya-trainer/sdxl_train_network.py", line 3, in from library import sdxl_model_util, sdxl_train_util, train_util File "/content/kohya-trainer/library/sdxl_model_util.py", line 7, in from diffusers import AutoencoderKL, EulerDiscreteScheduler, UNet2DConditionModel

ModuleNotFoundError: No module named 'diffusers'

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Traceback (most recent call last): File "/content/kohya-trainer/train_network_xl_wrapper.py", line 2, in from sdxl_train_network import setup_parser, SdxlNetworkTrainer File "/content/kohya-trainer/sdxl_train_network.py", line 3, in from library import sdxl_model_util, sdxl_train_util, train_util File "/content/kohya-trainer/library/sdxl_model_util.py", line 7, in from diffusers import AutoencoderKL, EulerDiscreteScheduler, UNet2DConditionModel

ModuleNotFoundError: No module named 'diffusers'