# Complete Feature & Chain Definitions Configuration for MCP Tools
# Every chain injector in chain_injectors/ corresponds 1-to-1 with an entry here (21 injectors total).

lora:
  chains: lora
  display_name: "LoRA Fine-tuning Injector"
  description: "Injects LoRA weights into UNet/DiT model and CLIP text encoder for custom style, character, or domain adaptation."
  supported_tasks:
    - txt2img
    - img2img
    - inpaint
    - outpaint
    - hires_fix
  max_count: 5
  usage_guideline: "Specify source ('Civitai' or 'Hugging Face'), then provide the lora_value (Civitai Version ID or HF repo path), and a single scale value (0.0~2.0) that controls both model and clip strength simultaneously."
  parameters_schema:
    type: object
    properties:
      source:
        type: string
        enum: ["Civitai", "Hugging Face"]
        description: "Download source for the LoRA model. Use 'Civitai' to download by Version ID, or 'Hugging Face' to download by repo path."
      lora_value:
        type: string
        description: "For Civitai: the Version ID (e.g., '456' from civitai.com/models/123?modelVersionId=456). For Hugging Face: repo_id/filename.extension or repo_id/folder_path/filename.extension (e.g., 'lightx2v/Qwen-Image-Lightning/Qwen-Image-Lightning-4steps-V2.0-bf16.safetensors')."
      scale:
        type: number
        default: 1.0
        minimum: 0.0
        maximum: 2.0
        description: "Unified strength applied to both the UNet/DiT model and CLIP text encoder (0.0 to 2.0)."
    required:
      - source
      - lora_value

ipadapter:
  chains: ipadapter
  display_name: "IP-Adapter Image Prompt"
  description: "Uses reference images to guide generation style, composition, structure, or face appearance without prompt text restrictions (SD1.5 & SDXL)."
  supported_tasks:
    - txt2img
    - img2img
    - inpaint
    - outpaint
    - hires_fix
  max_count: 5
  usage_guideline: "Supply global settings (preset, embeds_scaling, combine_method, final_weight) and up to 5 reference images with individual weights. Preset must match the target model architecture (SD1.5 or SDXL)."
  parameters_schema:
    type: object
    properties:
      image:
        type: string
        description: "Reference image encoded as Base64 Data URI (e.g., data:image/png;base64,...) or HTTP/HTTPS URL."
      weight:
        type: number
        default: 1.0
        minimum: 0.0
        maximum: 2.0
        description: "Influence weight of the individual image prompt (0.0 to 2.0)."
      preset:
        type: string
        default: "STANDARD (medium strength)"
        description: "IPAdapter preset model variant loaded from ipadapter.yaml. Must match model architecture (SD1.5 vs SDXL)."
      embeds_scaling:
        type: string
        default: "V only"
        enum:
          - "V only"
          - "K+V"
          - "K+V w/ C penalty"
          - "K+mean(V) w/ C penalty"
        description: "Embedding scaling method for IPAdapter."
      combine_method:
        type: string
        default: "concat"
        enum:
          - "concat"
          - "add"
          - "subtract"
          - "average"
          - "norm average"
          - "max"
          - "min"
        description: "Combination method for multiple reference images."
      final_weight:
        type: number
        default: 1.0
        minimum: 0.0
        maximum: 2.0
        description: "Global weight multiplier for IPAdapter conditioning (0.0 to 2.0)."
      lora_strength:
        type: number
        default: 0.6
        description: "LoRA weight strength for FaceID adapter variants."
    required:
      - image

controlnet:
  chains: controlnet
  display_name: "ControlNet Spatial Guidance"
  description: "Applies structural and spatial conditioning (depth, pose, lineart, tile, scribble, canny) to guide output composition."
  supported_tasks:
    - txt2img
    - img2img
    - inpaint
    - outpaint
    - hires_fix
  max_count: 5
  usage_guideline: "Specify ControlNet type and series (must match requested model architecture e.g., SD1.5, SDXL, SD3.5, FLUX.1, Qwen-Image), pre-processed control image (Base64 Data URI or HTTP/HTTPS URL; system does NOT pre-process raw RGB images), and guidance strength."
  parameters_schema:
    type: object
    properties:
      type:
        type: string
        description: "ControlNet conditioning type (must match model architecture)."
      series:
        type: string
        description: "ControlNet model series (must match model architecture)."
      image:
        type: string
        description: "Pre-processed control image (e.g., Depth, Canny, Pose, Lineart map) encoded as Base64 Data URI or HTTP/HTTPS URL. Note: System does NOT automatically pre-process raw RGB images."
      strength:
        type: number
        default: 1.0
        minimum: 0.0
        maximum: 2.0
        description: "Control influence strength (0.0 to 2.0)."
    required:
      - type
      - series
      - image

conditioning:
  chains: conditioning
  display_name: "Regional Conditioning / Area Prompt"
  description: "Defines rectangular areas (X, Y, Width, Height) and assigns specific text prompts and conditioning strengths to them."
  supported_tasks:
    - txt2img
    - img2img
    - inpaint
    - outpaint
    - hires_fix
  max_count: 10
  usage_guideline: "Define rectangular spatial areas (X, Y, width, height) and assign specific prompts and strengths to them. Supports up to 10 area prompts."
  parameters_schema:
    type: object
    properties:
      prompt:
        type: string
        description: "Text prompt for this specific rectangular area."
      x:
        type: integer
        default: 0
        description: "Top-left X coordinate of the rectangular area."
      y:
        type: integer
        default: 0
        description: "Top-left Y coordinate of the rectangular area."
      width:
        type: integer
        default: 512
        description: "Width of the rectangular area."
      height:
        type: integer
        default: 512
        description: "Height of the rectangular area."
      strength:
        type: number
        default: 1.0
        minimum: 0.1
        maximum: 2.0
        description: "Conditioning strength for this area (0.1 to 2.0)."
    required:
      - prompt

vae:
  chains: vae
  display_name: "Custom VAE Loader"
  description: "Overrides default VAE model used for latent space encoding and final image decoding."
  supported_tasks:
    - txt2img
    - img2img
    - inpaint
    - outpaint
    - hires_fix
  max_count: 1
  usage_guideline: "Specify source ('Civitai' or 'Hugging Face'), then provide the vae_value (Civitai Version ID or HF file path)."
  parameters_schema:
    type: object
    properties:
      source:
        type: string
        enum: ["Civitai", "Hugging Face"]
        description: "Download source for the VAE model. Use 'Civitai' to download by Version ID, or 'Hugging Face' to download by repo path."
      vae_value:
        type: string
        description: "For Civitai: the Version ID (e.g., '456' from civitai.com/models/123?modelVersionId=456). For Hugging Face: repo_id/filename.extension or repo_id/folder_path/filename.extension (e.g., 'madebyollin/sdxl-vae-fp16-fix/sdxl_vae.safetensors')."
    required:
      - source
      - vae_value

pid:
  chains: pid
  display_name: "PiD High-Resolution Refinement"
  description: "Progressive Detail (PiD) upscale injector for fine detail enhancement and resolution upscaling."
  supported_tasks:
    - txt2img
  max_count: 1
  usage_guideline: "Enables PiD detail refinement pipeline using a boolean switch ('enabled': true/false)."
  parameters_schema:
    type: object
    properties:
      enabled:
        type: boolean
        default: true
        description: "Enable or disable PiD High-Resolution Refinement."
    required:
      - enabled

flux1_style:
  chains: style
  display_name: "FLUX.1 Style Reference"
  description: "Applies artistic style conditioning from reference images onto FLUX.1 model generated outputs."
  supported_tasks:
    - txt2img
    - img2img
    - inpaint
    - outpaint
    - hires_fix
  max_count: 5
  usage_guideline: "Supply style reference image(s) (up to 5) encoded as Base64 Data URI or HTTP/HTTPS URL and optional strength."
  parameters_schema:
    type: object
    properties:
      image:
        type: string
        description: "Style reference image encoded as Base64 Data URI or HTTP/HTTPS URL."
      strength:
        type: number
        default: 1.0
        minimum: 0.0
        maximum: 2.0
        description: "Style influence strength (0.0 to 2.0)."
    required:
      - image

reference_edit:
  chains: reference_latent
  display_name: "Reference Edit"
  description: "For multimodal models, this feature enables powerful editing and combining capabilities. In txt2img mode, adding a single reference image performs an Image Edit, while adding multiple images performs an Image Combine."
  supported_tasks:
    - txt2img
  max_count: 10
  usage_guideline: "Supply reference image(s) encoded as Base64 Data URI or HTTP/HTTPS URL. Passing a single reference image performs an Image Edit, while passing multiple images (up to 10) performs an Image Combine."
  parameters_schema:
    type: object
    properties:
      image:
        type: string
        description: "Reference image encoded as Base64 Data URI or HTTP/HTTPS URL."
    required:
      - image

mage_flow_reference_edit:
  chains: reference_image
  display_name: "Mage-Flow Reference Edit"
  description: " (Mage-Flow-Edit-Turbo/Mage-Flow-Edit recommended) For multimodal models, this feature enables powerful editing and combining capabilities. In txt2img mode, adding a single reference image performs an Image Edit, while adding multiple images performs an Image Combine."
  supported_tasks:
    - txt2img
  max_count: 10
  usage_guideline: "Supply reference image as Base64 Data URI or HTTP/HTTPS URL."
  parameters_schema:
    type: object
    properties:
      image:
        type: string
        description: "Reference image encoded as Base64 Data URI or HTTP/HTTPS URL."
    required:
      - image

krea2_identity_edit:
  chains: krea2_identity_edit
  display_name: "KREA2 Identity Edit"
  description: "Processed using the lbouaraba/comfyui-krea2edit node. (Krea-2-Turbo recommended, Krea-2-Raw need set ZeroGPU Duration (s) to 120 ) In txt2img mode, adding a single reference image performs an Image Edit, while adding multiple images performs an Image Combine."
  supported_tasks:
    - txt2img
  max_count: 2
  usage_guideline: "Supply reference image as Base64 Data URI or HTTP/HTTPS URL."
  parameters_schema:
    type: object
    properties:
      image:
        type: string
        description: "Reference image encoded as Base64 Data URI or HTTP/HTTPS URL."
    required:
      - image

krea2_style_reference:
  chains: krea2_style_reference
  display_name: "KREA2 Style Reference"
  description: "(Krea-2-Turbo recommended) Add style reference images to perform style reference editing."
  supported_tasks:
    - txt2img
  max_count: 3
  usage_guideline: "Supply style reference image as Base64 Data URI or HTTP/HTTPS URL."
  parameters_schema:
    type: object
    properties:
      image:
        type: string
        description: "Style reference image encoded as Base64 Data URI or HTTP/HTTPS URL."
    required:
      - image

diffsynth_controlnet:
  chains: diffsynth_controlnet
  display_name: "DiffSynth ControlNet"
  description: "DiffSynth optimized ControlNet injector for Z-Image models."
  supported_tasks:
    - txt2img
    - img2img
    - inpaint
    - outpaint
    - hires_fix
  max_count: 5
  usage_guideline: "Supply ControlNet type (e.g., 'Canny'), series (e.g., 'alibaba-pai Controlnet Union 2.1 8steps'), pre-processed control image (Base64 Data URI or HTTP/HTTPS URL; system does NOT pre-process raw RGB images), and optional strength."
  parameters_schema:
    type: object
    properties:
      type:
        type: string
        description: "ControlNet conditioning type."
      series:
        type: string
        description: "ControlNet model series name."
      image:
        type: string
        description: "Pre-processed control image (e.g., Depth map) encoded as Base64 Data URI or HTTP/HTTPS URL. Note: System does NOT automatically pre-process raw RGB images."
      strength:
        type: number
        default: 1.0
        description: "Control influence strength."
    required:
      - type
      - series
      - image

boogu_image_edit:
  chains: boogu_image_edit
  display_name: "Boogu-Image Edit"
  description: " (Boogu-Image-Edit-Turbo/Boogu-Image-Edit recommended, Boogu-Image-Edit need set ZeroGPU Duration (s) to 120 ) In txt2img mode, adding a single reference image performs an Image Edit, while adding multiple images performs an Image Combine."
  supported_tasks:
    - txt2img
  max_count: 10
  usage_guideline: "Supply reference image as Base64 Data URI or HTTP/HTTPS URL."
  parameters_schema:
    type: object
    properties:
      image:
        type: string
        description: "Reference image encoded as Base64 Data URI or HTTP/HTTPS URL."
    required:
      - image

joyai_reference_edit:
  chains: joyai_image
  display_name: "JoyAI Reference Edit"
  description: " (JoyAI-Image-Edit recommended) For multimodal models, this feature enables powerful editing and combining capabilities. In txt2img mode, adding a single reference image performs an Image Edit (JoyAI-Image-Edit recommended), while adding multiple images performs an Image Combine (JoyAI-Image-Edit-Plus recommended with ZeroGPU Duration (s) set to 120)."
  supported_tasks:
    - txt2img
  max_count: 2
  usage_guideline: "Supply JoyAI reference image as Base64 Data URI or HTTP/HTTPS URL."
  parameters_schema:
    type: object
    properties:
      image:
        type: string
        description: "Input reference image encoded as Base64 Data URI or HTTP/HTTPS URL."
    required:
      - image

qwen_image_edit:
  chains: qwen_image_edit
  display_name: "Qwen-Image Edit"
  description: " (lightx2v/Qwen-Image-Edit-2511-Lightning recommended) In txt2img mode, adding a single reference image performs an Image Edit, while adding multiple images performs an Image Combine."
  supported_tasks:
    - txt2img
  max_count: 3
  usage_guideline: "Supply reference image(s) (up to 3) encoded as Base64 Data URI or HTTP/HTTPS URL. Passing a single reference image performs an Image Edit, while passing multiple images performs an Image Combine."
  parameters_schema:
    type: object
    properties:
      image:
        type: string
        description: "Reference image encoded as Base64 Data URI or HTTP/HTTPS URL."
    required:
      - image

hidream_o1_smoothing:
  chains: hidream_o1_smoothing
  display_name: "HiDream O1 Smoothing Injector"
  description: "HiDream O1 detail smoothing and artifact reduction injector."
  supported_tasks:
    - txt2img
    - img2img
    - inpaint
    - outpaint
    - hires_fix
  max_count: 1
  usage_guideline: "Configures smoothing factor for HiDream models."
  parameters_schema:
    type: object
    properties:
      factor:
        type: number
        default: 0.5
        description: "Smoothing intensity (0.0 to 1.0)."
    required: []

krea2_controlnet:
  chains: krea2_controlnet
  display_name: "KREA2 ControlNet"
  description: "Processed using the facok/comfyui-krea2-controlnet node."
  supported_tasks:
    - txt2img
    - img2img
    - inpaint
    - outpaint
    - hires_fix
  max_count: 5
  usage_guideline: "Supply ControlNet type (e.g., 'Depth'), series (e.g., 'Patil'), pre-processed control image (Base64 Data URI or HTTP/HTTPS URL; system does NOT pre-process raw RGB images), and optional strength."
  parameters_schema:
    type: object
    properties:
      type:
        type: string
        enum:
          - "Depth"
        description: "ControlNet conditioning type."
      series:
        type: string
        enum:
          - "Patil"
        default: "Patil"
        description: "ControlNet model series."
      image:
        type: string
        description: "Pre-processed control image (e.g., Depth map) encoded as Base64 Data URI or HTTP/HTTPS URL. Note: System does NOT automatically pre-process raw RGB images."
      strength:
        type: number
        default: 1.0
        minimum: 0.0
        maximum: 2.0
        description: "Control influence strength (0.0 to 2.0)."
    required:
      - type
      - series
      - image

anima_controlnet_lllite:
  chains: anima_controlnet_lllite
  display_name: "Anima ControlNet LLLite"
  description: "Anima model-specific lightweight ControlNet."
  supported_tasks:
    - txt2img
    - img2img
    - inpaint
    - outpaint
    - hires_fix
  max_count: 5
  usage_guideline: "Supply Anima ControlNet LLLite type (e.g., 'Depth'), series (e.g., 'kohya-ss'), pre-processed control image (Base64 Data URI or HTTP/HTTPS URL; system does NOT pre-process raw RGB images), and optional strength."
  parameters_schema:
    type: object
    properties:
      type:
        type: string
        description: "Anima ControlNet LLLite conditioning type."
      series:
        type: string
        description: "Anima ControlNet LLLite model series."
      image:
        type: string
        description: "Pre-processed control image (e.g., Depth, Lineart map) encoded as Base64 Data URI or HTTP/HTTPS URL. Note: System does NOT automatically pre-process raw RGB images."
      strength:
        type: number
        default: 1.0
        minimum: 0.0
        maximum: 2.0
        description: "Control influence strength (0.0 to 2.0)."
    required:
      - type
      - series
      - image

hidream_o1_reference:
  chains: hidream_o1_reference
  display_name: "HiDream-O1 Reference Edit"
  description: " (HiDream-O1-Image-Dev recommended with resolution set to 4.0MP, e.g., 2048x2048) For HiDream-O1 models, this feature enables reference image editing and combining capabilities. In txt2img mode, adding a single reference image performs an Image Edit, while adding multiple images performs an Image Combine."
  supported_tasks:
    - txt2img
  max_count: 10
  usage_guideline: "Supply reference image(s) (up to 10) encoded as Base64 Data URI or HTTP/HTTPS URL. Passing a single reference image performs an Image Edit, while passing multiple images performs an Image Combine."
  parameters_schema:
    type: object
    properties:
      image:
        type: string
        description: "Reference image encoded as Base64 Data URI or HTTP/HTTPS URL."
    required:
      - image

flux1_ipadapter:
  chains: flux1_ipadapter
  display_name: "Flux1 IP-Adapter"
  description: "FLUX.1 model-specific IP-Adapter implementation."
  supported_tasks:
    - txt2img
    - img2img
    - inpaint
    - outpaint
    - hires_fix
  max_count: 5
  usage_guideline: "Supply reference image (Base64 Data URI or HTTP/HTTPS URL), optional weight (default 1.0), start_at (default 0.0), and end_at (default 1.0). Up to 5 images supported."
  parameters_schema:
    type: object
    properties:
      image:
        type: string
        description: "Reference image encoded as Base64 Data URI or HTTP/HTTPS URL."
      weight:
        type: number
        default: 1.0
        description: "Influence weight of the image prompt (0.0 to 2.0)."
      start_at:
        type: number
        default: 0.0
        description: "Start step percentage for IP-Adapter application (0.0 to 1.0)."
      end_at:
        type: number
        default: 1.0
        description: "End step percentage for IP-Adapter application (0.0 to 1.0)."
      start_percent:
        type: number
        default: 0.0
        description: "Alias for start_at."
      end_percent:
        type: number
        default: 1.0
        description: "Alias for end_at."
    required:
      - image

sd3_ipadapter:
  chains: sd3_ipadapter
  display_name: "SD3 IP-Adapter"
  description: "SD3/SD3.5 model-specific IP-Adapter implementation."
  supported_tasks:
    - txt2img
    - img2img
    - inpaint
    - outpaint
    - hires_fix
  max_count: 5
  usage_guideline: "Supply reference image (Base64 Data URI or HTTP/HTTPS URL), optional weight (default 1.0), start_at (default 0.0), and end_at (default 1.0). Up to 5 images supported."
  parameters_schema:
    type: object
    properties:
      image:
        type: string
        description: "Reference image encoded as Base64 Data URI or HTTP/HTTPS URL."
      weight:
        type: number
        default: 1.0
        description: "Influence weight of the image prompt (0.0 to 2.0)."
      start_at:
        type: number
        default: 0.0
        description: "Start step percentage for IP-Adapter application (0.0 to 1.0)."
      end_at:
        type: number
        default: 1.0
        description: "End step percentage for IP-Adapter application (0.0 to 1.0)."
      start_percent:
        type: number
        default: 0.0
        description: "Alias for start_at."
      end_percent:
        type: number
        default: 1.0
        description: "Alias for end_at."
    required:
      - image

embedding:
  chains: embedding
  display_name: "Textual Inversion Embedding Injector"
  description: "Downloads Textual Inversion embedding files from Civitai or Hugging Face to the server. Note: This feature ONLY handles file downloading/preparation. To activate the embedding, manually add 'embedding:<filename>' (e.g. 'embedding:civitai_456' for Civitai ID 456, or 'embedding:filename' for Hugging Face) into your prompt or negative_prompt."
  supported_tasks:
    - txt2img
    - img2img
    - inpaint
    - outpaint
    - hires_fix
  max_count: 5
  usage_guideline: "Specify source ('Civitai' or 'Hugging Face'), and embedding_value (Civitai Version ID or HF repo file path). The file is downloaded to server; manually enter 'embedding:<filename>' in prompt or negative_prompt to activate."
  parameters_schema:
    type: object
    properties:
      source:
        type: string
        enum:
          - "Civitai"
          - "Hugging Face"
        description: "Download source for the Textual Inversion embedding file. Use 'Civitai' to download by Version ID, or 'Hugging Face' to download by repo file path."
      embedding_value:
        type: string
        description: "For Civitai: the Version ID (e.g., '456' from civitai.com/models/123?modelVersionId=456, saved as 'civitai_456.safetensors'). For Hugging Face: repo_id/filename.extension (e.g., 'ilikebigturtles/lazypos/lazypos.safetensors', saved as 'lazypos.safetensors'). Manually reference embedding:<filename> in prompt or negative_prompt."
    required:
      - source
      - embedding_value