make_image_grid([sketch_image, sketch_image_out], rows=1, cols=2)   Available checkpoints Non-diffusers checkpoints can be found under TencentARC/T2I-Adapter.  T2I-Adapter with Stable Diffusion 1.4 Model Name Control Image Overview Control Image Example Generated Image Example TencentARC/t2iadapter_color_sd14v1 Trained with spatial color palette An image with 8x8 color palette.   TencentARC/t2iadapter_canny_sd14v1 Trained with canny edge detection A monochrome image with white edges on a black background.   TencentARC/t2iadapter_sketch_sd14v1 Trained with PidiNet edge detection A hand-drawn monochrome image with white outlines on a black background.   TencentARC/t2iadapter_depth_sd14v1 Trained with Midas depth estimation A grayscale image with black representing deep areas and white representing shallow areas.   TencentARC/t2iadapter_openpose_sd14v1 Trained with OpenPose bone image A OpenPose bone image.   TencentARC/t2iadapter_keypose_sd14v1 Trained with mmpose skeleton image A mmpose skeleton image.   TencentARC/t2iadapter_seg_sd14v1Trained with semantic segmentation An custom segmentation protocol image.   TencentARC/t2iadapter_canny_sd15v2    TencentARC/t2iadapter_depth_sd15v2    TencentARC/t2iadapter_sketch_sd15v2    TencentARC/t2iadapter_zoedepth_sd15v1    Adapter/t2iadapter, subfolder=‘sketch_sdxl_1.0’    Adapter/t2iadapter, subfolder=‘canny_sdxl_1.0’    Adapter/t2iadapter, subfolder=‘openpose_sdxl_1.0’     Combining multiple adapters MultiAdapter can be used for applying multiple conditionings at once. Here we use the keypose adapter for the character posture and the depth adapter for creating the scene.   Copied from diffusers.utils import load_image, make_image_grid