diff --git a/invokeai/configs/INITIAL_MODELS.yaml b/invokeai/configs/INITIAL_MODELS.yaml index 8ad788fba78..ff4d8217d0a 100644 --- a/invokeai/configs/INITIAL_MODELS.yaml +++ b/invokeai/configs/INITIAL_MODELS.yaml @@ -62,40 +62,72 @@ sd-1/main/trinart_stable_diffusion_v2: recommended: False sd-1/controlnet/qrcode_monster: source: monster-labs/control_v1p_sd15_qrcode_monster + description: Controlnet model that generates scannable creative QR codes subfolder: v2 sd-1/controlnet/canny: + description: Controlnet weights trained on sd-1.5 with canny conditioning. source: lllyasviel/control_v11p_sd15_canny recommended: True sd-1/controlnet/inpaint: source: lllyasviel/control_v11p_sd15_inpaint + description: Controlnet weights trained on sd-1.5 with canny conditioning, inpaint version sd-1/controlnet/mlsd: + description: Controlnet weights trained on sd-1.5 with canny conditioning, MLSD version source: lllyasviel/control_v11p_sd15_mlsd sd-1/controlnet/depth: + description: Controlnet weights trained on sd-1.5 with depth conditioning source: lllyasviel/control_v11f1p_sd15_depth recommended: True sd-1/controlnet/normal_bae: + description: Controlnet weights trained on sd-1.5 with normalbae image conditioning source: lllyasviel/control_v11p_sd15_normalbae sd-1/controlnet/seg: + description: Controlnet weights trained on sd-1.5 with seg image conditioning source: lllyasviel/control_v11p_sd15_seg sd-1/controlnet/lineart: + description: Controlnet weights trained on sd-1.5 with lineart image conditioning source: lllyasviel/control_v11p_sd15_lineart recommended: True sd-1/controlnet/lineart_anime: + description: Controlnet weights trained on sd-1.5 with anime image conditioning source: lllyasviel/control_v11p_sd15s2_lineart_anime sd-1/controlnet/openpose: + description: Controlnet weights trained on sd-1.5 with openpose image conditioning source: lllyasviel/control_v11p_sd15_openpose recommended: True sd-1/controlnet/scribble: source: lllyasviel/control_v11p_sd15_scribble + description: Controlnet weights trained on sd-1.5 with scribble image conditioning recommended: False sd-1/controlnet/softedge: source: lllyasviel/control_v11p_sd15_softedge + description: Controlnet weights trained on sd-1.5 with soft edge conditioning sd-1/controlnet/shuffle: source: lllyasviel/control_v11e_sd15_shuffle + description: Controlnet weights trained on sd-1.5 with shuffle image conditioning sd-1/controlnet/tile: source: lllyasviel/control_v11f1e_sd15_tile + description: Controlnet weights trained on sd-1.5 with tiled image conditioning sd-1/controlnet/ip2p: source: lllyasviel/control_v11e_sd15_ip2p + description: Controlnet weights trained on sd-1.5 with ip2p conditioning. +sdxl/controlnet/canny-sdxl: + description: Controlnet weights trained on sdxl-1.0 with canny conditioning. + source: diffusers/controlnet-canny-sdxl-1.0 + recommended: True +sdxl/controlnet/depth-sdxl: + description: Controlnet weights trained on sdxl-1.0 with depth conditioning. + source: diffusers/controlnet-depth-sdxl-1.0 + recommended: True +sdxl/controlnet/softedge-dexined-sdxl: + description: Controlnet weights trained on sdxl-1.0 with dexined soft edge preprocessing. + source: SargeZT/controlnet-sd-xl-1.0-softedge-dexined +sdxl/controlnet/depth-16bit-zoe-sdxl: + description: Controlnet weights trained on sdxl-1.0 with Zoe's preprocessor (16 bits). + source: SargeZT/controlnet-sd-xl-1.0-depth-16bit-zoe +sdxl/controlnet/depth-zoe-sdxl: + description: Controlnet weights trained on sdxl-1.0 with Zoe's preprocessor (32 bits). + source: diffusers/controlnet-zoe-depth-sdxl-1.0 sd-1/t2i_adapter/canny-sd15: source: TencentARC/t2iadapter_canny_sd15v2 sd-1/t2i_adapter/sketch-sd15: