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If anyone is already running auto1111, or simply uninterested in paying, there's an addon that does this very well available here https://github.com/KutsuyaYuki

If anyone is already running auto1111, or simply uninterested in paying, there's an addon that does this very well available here https://github.com/KutsuyaYuki/ABG_extension https://github.com/KutsuyaYuki/ABG_extension, additionally I've had very good results using the masks generated by Facebook's SAM, which is also available as an addon here https://github.com/continue-revolution/sd-webui-segment-anything https://github.com/continue-revolution/sd-webui-segment-anyt... auto1111 has a one click installer and these extensions can be installed by going to the "extensions" tab and pasting the github URL into the "install from URL" box. auto1111 available here https://github.com/AUTOMATIC1111/stable-diffusion-webui https://github.com/AUTOMATIC1111/stable-diffusion-webui

yreg 3y ago
I have set up auto1111 just as a hobby to make art (if it's okay to call it that) for myself. Surprisingly (?) my convoluted setup is slowly becoming this actually useful toolkit for various tasks I sometimes need to do.
dibrale 3y ago
I made a UI for Meta's SAM that works very well for background removal: https://github.com/dibrale/samist https://github.com/dibrale/samist It runs from a python script.
- thrdbndndn 3y ago
  Great tool! Some explanations on the differences of these models would be nice for a noob.
  - dibrale 3y ago
    If I recall correctly, the difference between the SAM models is just a parameter number versus accuracy tradeoff. I have the parameter numbers listed under 'Installation', but the relative quality of the models would be task-dependent and subjective. I would think that part of the motivation for releasing the smaller models in addition to the larger ones would be use in video image segmentation and mobile filters. The smaller models might actually be more fit for purpose with regard with regard to those applications than the biggest one. However, I'd reccommend the biggest model (vit_h) for desktop or laptop image processing.

yreg 3y ago

I have set up auto1111 just as a hobby to make art (if it's okay to call it that) for myself. Surprisingly (?) my convoluted setup is slowly becoming this actually useful toolkit for various tasks I sometimes need to do.

dibrale 3y ago

I made a UI for Meta's SAM that works very well for background removal: https://github.com/dibrale/samist https://github.com/dibrale/samist It runs from a python script.

thrdbndndn 3y ago
Great tool! Some explanations on the differences of these models would be nice for a noob.
- dibrale 3y ago
  If I recall correctly, the difference between the SAM models is just a parameter number versus accuracy tradeoff. I have the parameter numbers listed under 'Installation', but the relative quality of the models would be task-dependent and subjective. I would think that part of the motivation for releasing the smaller models in addition to the larger ones would be use in video image segmentation and mobile filters. The smaller models might actually be more fit for purpose with regard with regard to those applications than the biggest one. However, I'd reccommend the biggest model (vit_h) for desktop or laptop image processing.