Walter white dancing in a suit and red tie, blue sky background, best quality In the img2img tab, load an initial image and use the shortcode. Step 5) Now, place the two annotator files here:Įxtensions\unprompted\lib_unprompted\stable_diffusion\controlnet\annotator\ckpts Step 4) Rename it to control_sd15_openpose.yaml. Step 3) Download the cldm_v15.yaml file from the ControlNet repository and place it next to the ckpt: Step 2) Place the control_sd15_openpose.pth file into your WebUI's models/Stable-diffusion directory. For the Pose model, all you need are the following: You can git the whole thing if you want, but it's something like 50+ GB. Step 1) After installing the Unprompted extension, you need to grab a few files from ControlNet's HuggingFace page: But it should be trivial to add support for the remaining models (knock on wood.) Might have a few more of them ready tonight! (Which ones do you want first?)ĮDIT - Currently supported models: Pose, Scribble, M-LSD, Depth Map, Normal Map Jokes aside, I only got this working a few minutes ago, so it's limited to the pose2image model for now. If you already have Unprompted, all you have to do is fetch the latest update through the Extensions menu. It is available via the Unprompted extension. Good news! I managed to get the incredible ControlNet script running in our favorite WebUI. Their implementation differs from my own in that theirs hooks directly into the A1111 pipeline whereas mine is more of a "wrapper" for the original ControlNet code (including its own external DDIM sampler.) 2/15 EDIT: If you run into any issues with this shortcode, I would encourage you to try Mikubill's dedicated ControlNet extension.
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