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Add sdxl controlnet models (#5980)

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* allow removal of models with legacy relative path addressing

* added five controlnet models for sdxl to INITIAL_MODELS

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Co-authored-by: Lincoln Stein <lstein@gmail.com>
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Lincoln Stein 2024-03-17 21:15:15 -04:00 committed by GitHub
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invokeai/configs/INITIAL_MODELS.yaml
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@ -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: