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ComfyUI_RP_Cast
Copyright (C) 2024-2026 ComfyUI_RP_Cast Contributors
Repository: https://github.com/AISeDam/ComfyUI_RP_Cast
This project is licensed under the GNU Affero General Public License v3.0 (AGPL-3.0).
See the LICENSE file for details.
================================================================================
THIRD-PARTY NOTICES
================================================================================
This project references, adapts, or is inspired by the following open source
projects. No source code was directly copied; algorithms, patterns, and
interfaces were re-implemented for the ComfyUI environment.
--------------------------------------------------------------------------------
1. sd-webui-regional-prompter
--------------------------------------------------------------------------------
Repository : https://github.com/hako-mikan/sd-webui-regional-prompter
Author : hako-mikan
License : GNU Affero General Public License v3.0 (AGPL-3.0)
Copyright : Copyright (c) 2023 hako-mikan
Usage in this project:
- Core concept: region-based prompt division (ADDCOMM / ADDBASE / ADDCOL /
ADDROW keyword structure)
- divide_ratio / divide_mode specification
- use_base / use_common flag semantics
- Latent couple algorithm concept (regional attention masking)
- parse_prompt() structure and _common / _base_part / _col_parts variable
mapping conventions
- README used as the authoritative standard for prompt parsing behavior
--------------------------------------------------------------------------------
2. ComfyUI-Impact-Pack
--------------------------------------------------------------------------------
Repository : https://github.com/ltdrdata/ComfyUI-Impact-Pack
Author : ltdrdata (Dr.Lt.Data)
License : GNU Affero General Public License v3.0 (AGPL-3.0)
Usage in this project:
- drop_size parameter concept: bbox short-side threshold for filtering
small detections (used in RPRegionalDetailer, RPRegionalDetailerZImage)
- FaceDetailer upscale-then-inpaint pattern reference
- torch.load patch interoperability awareness (impact-subpack compatibility)
--------------------------------------------------------------------------------
3. ComfyUI-ZImagePowerNodes
--------------------------------------------------------------------------------
Repository : https://github.com/martin-rizzo/ComfyUI-ZImagePowerNodes
Author : martin-rizzo (Martin Rizzo)
License : MIT License
Copyright : Copyright (c) 2026 Martin Rizzo
Usage in this project:
- ZSampler Turbo implementation reference: AuraFlow sigma schedule
(ModelSamplingDiscreteFlow + CONST combination pattern)
- Z-Image latent channel count (_ZIMAGE_LATENT_CHANNELS = 16)
- Z-Image latent block size (_ZIMAGE_LATENT_BLOCK = 8)
- Z-Image grid size (_ZIMAGE_GRID_SIZE = 32)
- EmptyZImageLatentImage generation pattern
--------------------------------------------------------------------------------
4. ComfyUI-WD14-Tagger
--------------------------------------------------------------------------------
Repository : https://github.com/pythongosssss/ComfyUI-WD14-Tagger
Author : pythongosssss
License : MIT License
Usage in this project:
- Model cache directory path convention shared:
custom_nodes/ComfyUI-WD14-Tagger/models/
- WD14 ONNX model loading pattern for gender classification in
RPRegionalDetailerZImage._parse_gender()
- selected_tags.csv format reference for Danbooru tag parsing
================================================================================
DEPENDENCY NOTICES
================================================================================
This project depends on the following packages at runtime:
- ComfyUI : https://github.com/comfyanonymous/ComfyUI
GNU General Public License v3.0
Used in: all nodes
Scope: core runtime — model_management (device/memory),
sample (KSampler execution), samplers (SAMPLERS/
SCHEDULERS constants), model_sampling (AuraFlow sigma
shift), sd (LoRA load/patch), utils (weight copy).
- PyTorch : https://github.com/pytorch/pytorch
BSD License
Used in: all nodes
Scope: tensor operations throughout — latent generation,
mask construction, conditioning encode/decode,
denoised callback blending.
- Ultralytics YOLO : https://github.com/ultralytics/ultralytics
GNU Affero General Public License v3.0 (AGPL-3.0)
Used in: node_rp_detailer.py, node_rp_detailer_zimage.py
Scope: person detection (classes=[0]) on the full image
to obtain bbox coordinates for regional inpainting.
Optional — required only for Detailer nodes.
- OpenCV (cv2) : https://github.com/opencv/opencv
Apache License 2.0
Used in: node_rp_detailer.py, node_rp_detailer_zimage.py
Scope: bbox mask post-processing — dilate (mask
expansion), GaussianBlur (mask_blur / feather).
Optional — required only for Detailer nodes.
- Pillow (PIL) : https://github.com/python-pillow/Pillow
HPND License
Used in: node_rp_detailer.py, node_rp_detailer_zimage.py,
node_rp_txt2img_gemini.py (JPEG/WEBP decode fallback)
Scope: image conversion in Detailer nodes — fromarray
(numpy→PIL for YOLO input), crop (bbox extraction),
resize/LANCZOS (upscale before VAE encode, WD14
input preparation at 448×448).
Also used as fallback image decoder in Txt2Img nodes
when API returns JPEG or WEBP format.
Optional — required only for Detailer nodes and
non-PNG API responses.
- onnxruntime : https://github.com/microsoft/onnxruntime
MIT License
Used in: node_rp_detailer_zimage.py
Scope: WD14 ONNX model inference for gender
classification (boy/girl score) per detected bbox.
Optional — required only for Z-Image Detailer gender
classification feature.
- OpenAI API : https://platform.openai.com/docs/api-reference/images
OpenAI Terms of Service
Used in: node_rp_txt2img_openai.py
Scope: image generation via GPT Image models
(gpt-image-2, gpt-image-1.5, gpt-image-1,
gpt-image-1-mini) using the /v1/images/generations
endpoint. API key required.
No openai Python package required — uses urllib only.
- Google Gemini API : https://ai.google.dev/gemini-api/docs/image-generation
Google AI Studio Terms of Service
Used in: node_rp_txt2img_gemini.py
Scope: image generation via Gemini image models
(gemini-3.1-flash-image-preview, gemini-3-pro-image-preview,
gemini-2.5-flash-image) using the generateContent
endpoint. API key required (https://aistudio.google.com/apikey).
No google-generativeai package required — uses urllib only.
- xAI Grok API : https://docs.x.ai/developers/rest-api-reference/inference/images
xAI Terms of Service
Used in: node_rp_txt2img_grok.py
Scope: image generation via Grok image models
(grok-imagine-image, grok-imagine-image-pro) using
the /v1/images/generations endpoint. API key required.
No xai Python package required — uses urllib only.
================================================================================
DISTRIBUTION NOTE
================================================================================
As this project is licensed under AGPL-3.0 and references AGPL-3.0 works,
any distribution or network deployment of modified versions must:
1. Make the complete corresponding source code available under AGPL-3.0
2. Preserve all copyright notices from this NOTICE file
3. Provide a copy of the AGPL-3.0 license (see LICENSE file)
For commercial use without source disclosure, a separate license agreement
with the respective original authors would be required.
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