π³ControlNet with models
Using Preview with the ControlNet plugin
The first step is to choose a preprocessor and it is helpful to turn on the preview so we know what the preprocessor is doing. Once the preprocessing is done, the original image is discarded, and only the preprocessed image will be used for ControlNet.
Reduce the Control Weight will help with color issues or other artifacts
Preprocessor and models
Once we choose a preprocessor, we must pick the correct model. We need to do is select the model with the same starting keyword as the preprocessor.
OpenPose preprocessors
OpenPose: eyes, noses, neck, shoulder, elbow, wrist, knees, and ankles
OpenPose_face: Openpose +facial detail
OpenPose_hand:OpenPose+hands and fingers
OpenPose_faceonly: facial details only
OpenPose_full: All of the above
Tile resample model
The Tile resample model is used for adding details to an image. It is often used with an upscaler to enlarge an image simultaneously.
Reference preprocessors
Reference is a new set of preprocessors that let us generate images similar to the reference image. The Stable Diffusion model and the prompt will still influence the images.
Reference preprocessors do not use a control model. We only need to select the preprocessor but not the model. And there are 3 reference preprocessors:
Reference adain
Style transfer via Adaptive Instance Normalization
Reference only
Link the reference image directly to the attention layers
Reference adain+attn
Combination of above
Canny edge detector(preprocessor+model)
Canny edge detector is a general-purpose, old-school edge detector.
It extracts the outlines of an image. It is useful for retaining the composition of the original image.
Depth preprocessor
The depth preprocessor guesses the depth information from the reference image.
Depth Midas
A classic depth estimator
Depth Leres
More details but also tend to render background
Depth Leres++
Even more details
Zoe:
The level of detail sits between Midas and Leres.
Line Art preprocessors
Line Art renders the outline of an image. It attempts to convert it to a sample drawing. The are a few line art preprocessors
Line art anime: Anime-style lines
Line art anime denoise: Anime-style lines with fewer details
Line art realistic: Realistic-style lines
Line art coarse: Realistic-style lines with heavier weight
ControlNet Inpainting
ControlNet inpainting lets you use high denoising strength in inpainting to generate large variations without sacrificing consistency with the picture.
Credit
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