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SDXL 1.0 Model with ControlNet Workflow - Official Canny Support
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After the Stability AI team officially released the SDXL 1.0 model, the highly anticipated addition was the support for the ControlNet function. This new capability has been made possible with the introduction of the ControlNet Canny function. Now, with this official release, the true potential of SDXL can be fully harnessed through the integration of ControlNet. This enhancement is poised to surpass even the renowned MidJournal, regardless of the context.
This video presents fully executable workflows using ComfyUI. It demonstrates both the direct use of a generated image as a ControlNet input and the utilization of a loaded image as input. Both workflows function effectively; however, achieving the best image outcome relies heavily on parameter optimization. While the utilization of the ControlNet function shows promise, further practical experimentation is necessary to fully unlock its potential.
Hugging face ControlNet canny model
In command condition,
pip install accelerate transformers safetensors opencv-python diffusers
Put your all AI project in one file-small trick increase the efficiency
I upload the workflow to Google Cloud:
Subscribe to my channel
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#TubeUnderdeveloped #Howto #3dPrinting #AICorner
This video presents fully executable workflows using ComfyUI. It demonstrates both the direct use of a generated image as a ControlNet input and the utilization of a loaded image as input. Both workflows function effectively; however, achieving the best image outcome relies heavily on parameter optimization. While the utilization of the ControlNet function shows promise, further practical experimentation is necessary to fully unlock its potential.
Hugging face ControlNet canny model
In command condition,
pip install accelerate transformers safetensors opencv-python diffusers
Put your all AI project in one file-small trick increase the efficiency
I upload the workflow to Google Cloud:
Subscribe to my channel
#TubeUnderdeveloped #Howto #3dPrinting #AICorner
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