* cn forward patcher
* simplify
* use args instead of kwargs
* postpond moving cond_hint to gpu
* also do this for t2i adapter
* use a1111's code to load files in a batch
* revert
* patcher for batch images
* patcher for batch images
* remove cn fn wrapper dupl
* remove shit
* use unit getattr instead of unet patcher
* fix bug
* small changte
put inpaint_v26.fooocus.patch in models\ControlNet, control SDXL models only
To get same algorithm as Fooocus, set "Stop at" (Ending Control Step) to 0.5
Fooocus always use 0.5 but in Forge users may use other values.
Results are best when stop at < 0.7. The model is not optimized with ending timesteps > 0.7
Supports inpaint_global_harmonious, inpaint_only, inpaint_only+lama.
In theory the inpaint_only+lama always outperform Fooocus in object removal task (but not all tasks).
* Make test client run on cpu
* test on cpu
try fix device
try fix device
try fix device
* Use real SD1.5 model for testing
* ckpt nits
* Remove coverage calls
