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Model Database

This is a non-exhaustive list of model files which can be used with the Krita AI Diffusion plugin.

Model filters

To list the minimum required models for the plugin to work, select the Required model set and the base model you want to use below. Make sure all model type filters are enabled.

When optional models are enabled, the list will include a (large) number of additional models. ControlNet, IP-Adapter and Clip Vision provide the various control layers. Upscaler models add more options to the upscale workspace.

Checkpoint lists the recommended diffusion models used by the plugin’s default styles. They are all optional, you are free to use your preferred models.

Downloading models

Each model file has a download link which you can use to fetch the model weights. Make sure to put them in the indicated folder inside your ComfyUI installation.

Model list

Model set:
  • Required
  • Optional
Base model:
  • SD1.5
  • SDXL
  • SD3.5
  • Flux
  • Illustrious
Type:
  • Checkpoint
  • ControlNet
  • Clip Vision
  • IP Adapter
  • Upscaler
  • LoRA
  • Text Encoder
  • VAE
  • Inpaint
Name Files
CLIP Vision

models /clip_vision / clip-vision_vit-h.safetensors

cv all
NMKD Superscale

models /upscale_models / 4x_NMKD-Superscale-SP_178000_G.pth

up all
OmniSR Superscale

models /upscale_models / OmniSR_X2_DIV2K.safetensors

models /upscale_models / OmniSR_X3_DIV2K.safetensors

models /upscale_models / OmniSR_X4_DIV2K.safetensors

up all
ControlNet Inpaint

models /controlnet / control_v11p_sd15_inpaint_fp16.safetensors

cn sd15
ControlNet Unblur

models /controlnet / control_lora_rank128_v11f1e_sd15_tile_fp16.safetensors

cn sd15
IP-Adapter (SD1.5)

models /ipadapter / ip-adapter_sd15.safetensors

ipa sd15
IP-Adapter (SDXL)

models /ipadapter / ip-adapter_sdxl_vit-h.safetensors

ipa sdxl
Hyper-SD LoRA (SD1.5)

models /loras / Hyper-SD15-8steps-CFG-lora.safetensors

lora sd15
Hyper-SD LoRA (SDXL)

models /loras / Hyper-SDXL-8steps-CFG-lora.safetensors

lora sdxl
Fooocus Inpaint

models /inpaint / fooocus_inpaint_head.pth

models /inpaint / inpaint_v26.fooocus.patch

inp sdxl
MAT Inpaint

models /inpaint / MAT_Places512_G_fp16.safetensors

inp all
Easy Negative

models /embeddings / EasyNegative.safetensors

emb sd15
ControlNet Scribble

models /controlnet / control_lora_rank128_v11p_sd15_scribble_fp16.safetensors

cn sd15
ControlNet Line Art

models /controlnet / control_v11p_sd15_lineart_fp16.safetensors

cn sd15
ControlNet Soft Edge

models /controlnet / control_v11p_sd15_softedge_fp16.safetensors

cn sd15
ControlNet Canny Edge

models /controlnet / control_v11p_sd15_canny_fp16.safetensors

cn sd15
ControlNet Depth

models /controlnet / control_lora_rank128_v11f1p_sd15_depth_fp16.safetensors

cn sd15
ControlNet Normal

models /controlnet / control_lora_rank128_v11p_sd15_normalbae_fp16.safetensors

cn sd15
ControlNet Pose

models /controlnet / control_lora_rank128_v11p_sd15_openpose_fp16.safetensors

cn sd15
ControlNet Segmentation

models /controlnet / control_lora_rank128_v11p_sd15_seg_fp16.safetensors

cn sd15
ControlNet Stencil

models /controlnet / control_v1p_sd15_qrcode_monster.safetensors

cn sd15
ControlNet Hand Refiner

models /controlnet / control_sd15_inpaint_depth_hand_fp16.safetensors

cn sd15
IP-Adapter Face (SD1.5)

models /ipadapter / ip-adapter-faceid-plusv2_sd15.bin

models /loras / ip-adapter-faceid-plusv2_sd15_lora.safetensors

ipa sd15
ControlNet Universal (XL)

models /controlnet / xinsir-controlnet-union-sdxl-1.0-promax.safetensors

cn sdxl
IP-Adapter Face (XL)

models /ipadapter / ip-adapter-faceid-plusv2_sdxl.bin

models /loras / ip-adapter-faceid-plusv2_sdxl_lora.safetensors

ipa sdxl
ControlNet Inpaint (Flux)

models /controlnet / FLUX.1-dev-Controlnet-Inpainting-Beta.safetensors

cn flux
ControlNet Lines (Flux)

models /controlnet / mistoline_flux.dev_v1.safetensors

cn flux
ControlNet Canny (Flux)

models /controlnet / flux-canny-controlnet-v3.safetensors

cn flux
ControlNet Depth (Flux)

models /controlnet / flux-depth-controlnet-v3.safetensors

cn flux
Reference (Flux)

models /clip_vision / sigclip_vision_patch14_384.safetensors

models /style_models / flux1-redux-dev.safetensors

ipa flux
ControlNet Scribble (Illustrious)

models /controlnet / noob-sdxl-controlnet-scribble_pidinet.fp16.safetensors

cn illu
ControlNet Line Art (Illustrious)

models /controlnet / noob-sdxl-controlnet-lineart_anime.fp16.safetensors

cn illu
ControlNet Soft Edge (Illustrious)

models /controlnet / noob-sdxl-controlnet-softedge_hed.fp16.safetensors

cn illu
ControlNet Canny (Illustrious)

models /controlnet / noob_sdxl_controlnet_canny.fp16.safetensors

cn illu
ControlNet Depth (Illustrious)

models /controlnet / noob-sdxl-controlnet-depth_midas-v1-1.fp16.safetensors

cn illu
ControlNet Normal (Illustrious)

models /controlnet / noob-sdxl-controlnet-normal.fp16.safetensors

cn illu
ControlNet Pose (Illustrious)

models /controlnet / noobaiXLControlnet_openposeModel.safetensors

cn illu
ControlNet Unblur (Illustrious)

models /controlnet / noob-sdxl-controlnet-tile.fp16.safetensors

cn illu
CLIP Vision G (for IP-Adapter)

models /clip_vision / clip-vision_vit-g.safetensors

cv illu
IP-Adapter (Illustrious)

models /ipadapter / noobIPAMARK1_mark1.safetensors

ipa illu
Serenity (SD1.5 - Photography)

models /checkpoints / serenity_v21Safetensors.safetensors

cp sd15
DreamShaper (SD1.5 - Artwork)

models /checkpoints / dreamshaper_8.safetensors

cp sd15
Flat2D AniMerge (SD1.5 - Cartoon/Anime)

models /checkpoints / flat2DAnimerge_v45Sharp.safetensors

cp sd15
RealVis (SDXL - Photography)

models /checkpoints / RealVisXL_V5.0_fp16.safetensors

cp sdxl
ZavyChroma (SDXL - Artwork)

models /checkpoints / zavychromaxl_v80.safetensors

cp sdxl
Pixelwave (SDXL - Artwork)

models /checkpoints / pixelwave_11.safetensors

cp sdxl
Flux [dev]

models /checkpoints / flux1-dev-fp8.safetensors

cp flux
Flux [schnell]

models /checkpoints / flux1-schnell-fp8.safetensors

cp flux
NoobAI XL (Illustrious - Anime)

models /checkpoints / NoobAI-XL-Vpred-v1.0.safetensors

cp illu_v
HAT Super-Resolution (quality)

models /upscale_models / HAT_SRx4_ImageNet-pretrain.pth

up all
Real HAT GAN Super-Resolution (sharper)

models /upscale_models / Real_HAT_GAN_sharper.pth

up all