Classifier free guidance #8460
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Classifier free guidance #8460
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Signed-off-by: Virginia Fernandez <[email protected]>
Signed-off-by: Virginia Fernandez <[email protected]>
….ac.uk>\nI, Virginia Fernandez <[email protected]>, hereby add my Signed-off-by to this commit: 79f357a\nSigned-off-by: Virginia Fernandez <[email protected]> Signed-off-by: Virginia Fernandez <[email protected]>
Signed-off-by: Virginia Fernandez <[email protected]>
Signed-off-by: Virginia Fernandez <[email protected]>
….ac.uk> I, Virginia Fernandez <[email protected]>, hereby add my Signed-off-by to this commit: 79f357a Signed-off-by: Virginia Fernandez <[email protected]>
Signed-off-by: Virginia Fernandez <[email protected]>
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Fixes #8448
Description
Classifier-free guidance scale can be used in the sampling methods of diffusion models to strengthen the conditioning. It's been used in one of the generative MONAI tutorials, but the actual Inferers (DiffusionInferer, and ControlNetDiffusionInferer) do not support this feature. This means that, whenever users want to use CFG, they have to either copy the Inferer object or write their own sampling method.
This PR incorporates classifier-free guidance into the inferer objects by modifying their sampling method and adding an argument cfg to the sampling method to control this.
This should not change the default behaviour (cfg=None), although some rewriting has been necessary.
Types of changes
./runtests.sh -f -u --net --coverage../runtests.sh --quick --unittests --disttests.make htmlcommand in thedocs/folder.