FaceMoji(EmojiFace)는 YOLOv8‑face 모델을 사용해 로컬에서 얼굴을 감지하고, 이모지나 블러 효과를 덮어씌우는 Android 및 웹 앱입니다. 오프라인 작동, 수동 편집, 사용자 정의 이모지 폰트 지원, 공유 전용 숨김 아이콘 앱 설치 기능을 제공합니다.

반복되는 마스코트를 사용하여 아이디어를 시각적으로 표현하는 인쇄 스타일의 일러스트레이션과 다이어그램을 생성하는 AI 에이전트용 플러그인.

AI 이미지 생성을 위한 독립형 인터페이스. 시각적 캐릭터 선택, 반자동 태그 완성, ComfyUI 및 Forge Neo와의 API 통합을 제공합니다.

마스크된 영역을 자르고, 목표 해상도에서 처리한 후 원본 이미지에 시ーム리스하게 다시 통합함으로써 인페인팅을 최적화하는 ComfyUI 확장입니다.

SSE 및 WebSocket 모드를 사용하여 긴 추론 작업 중 연결 타임아웃을 방지하는 크로스플랫폼 이미지 생성 및 편집 클라이언트입니다.

Krea 2 및 Ideogram 4 모델에 대한 특화된 지원을 특징으로 하며, 이미지 생성 및 편집을 간소화하는 커스텀 ComfyUI 노드 모음입니다.

텍스트 프롬프트로 내부 이미지 생성 서비스(예: qwen-image-3)를 호출하는 작고 간단한 Python 클라이언트입니다. 종속성을 설치하고, 모델 이름과 프롬프트를 지정해 `generate.py`를 실행한 후, 다른 엔드포인트는 `RUNBOOK.md`를 참조하세요.

Android 및 iOS에서 셀프 호스팅된 Stable Diffusion 서버, 클라우드 API 및 온디바이스 로컬 런타임에 연결할 수 있는 오픈 소스 크로스 플랫폼 AI 이미지 생성 클라이언트입니다.

Stable Diffusion 모델과 AI 생성 커스터마이징의 공유, 탐색, 협업을 위한 커뮤니티 플랫폼입니다.

키프레임과 커스텀 가중치를 사용하여 타임스텝 전체 및 배치 잠재 변수에 걸친 강도를 정밀하게 제어할 수 있는 고급 ControlNet 스케줄링용 ComfyUI 노드 세트입니다.

ComfyUI용 레이어 기반 캔버스 에디터로 브라우저 내에서 이미지 합성, 다각형 인페인팅 선택, 배경 제거가 가능합니다.

OpenAI와 Google Gemini 이미지 모델을 사용하여 모바일 개발자가 앱 아이콘과 Google Play 기능 그래픽을 생성할 수 있는 CLI 도구입니다.

확산이나 반복적 노이즈 제거 대신 결합된 오실레이터의 통합을 통해 이미지를 생성하는 Kuramoto 동역학 기반의 이미지 생성 모델.

딥러닝 모델을 활용하여 ACGN 일러스트, CG, 만화에 특화된 이미지 슈퍼리졸루션 및 복원을 수행하는 도구입니다.

타일(tiled) 방식을 사용하여 큰 이미지를 image-to-image 확산 처리함으로써 디테일을 향상시키고 하드웨어 요구 사항을 줄이는 ComfyUI 노드 세트입니다.

Stable Diffusion 기반의 AI 이미지 및 비디오 생성을 위한 포괄적인 웹 인터페이스로, 고급 메모리 최적화 및 광범위한 하드웨어 지원을 특징으로 합니다.

생성 AI 모델의 LDM 디코더에 보이지 않는 워터마크를 직접 삽입하여 AI 생성 이미지를 자동으로 식별하는 시스템입니다.

U‑Net 및 DiT 아키텍처 실험을 쉽게 할 수 있도록 설계된, 확산·흐름 모델 학습 및 샘플링용 경량 라이브러리입니다.

TianRuo OCR v6는 화면 텍스트를 캡처하고, PaddleOCR/RapidOCR를 통해 온라인 또는 오프라인으로 OCR을 실행한 후, 다양한 온라인 서비스로 번역하는 Windows 데스크톱 앱입니다. 일반, 사일런트, 스크린샷 및 클립보드 리스닝 모드를 지원하며, 사용자 정의 단축키를 제공하며, 인쇄된 텍스트, 표, 손글씨 텍스트를 모두 인식할 수 있습니다.

ComfyUI‑Apt_Preset은 시각적 AI 워크플로우 도구인 ComfyUI를 위한 플러그인입니다. 로딩, control-net, 샘플링 단계를 프리셋 기반 노드로 번들링하여 다양한 모델 계열을 위한 범용 로더, 비디오/애니메이션/control-net을 위한 컨트롤러 스택, 통합 샘플러 노드, 유틸리티 이미지/마스크 도구를 제공합니다. `custom_nodes`로 클론하고 `install.bat`을 실행하여 설치합니다. 선택적 동반 플러그인과 리소스 팩으로 추가 기능을 제공합니다. 이 플러그인은 복잡한 이미지 생성 그래프를 단순화하여 구축 및 유지보수를 용이하게 합니다.

OpenVINO AI 플러그인 for GIMP는 Intel OpenVINO를 사용하여 GIMP 3에 온디바이스 AI 기능(초해상도, 세그멘테이션, 다양한 Stable-Diffusion 변형 포함 FastSD 등)을 추가합니다. 제공된 Windows/Linux 가이드에 따라 설치하고, GIMP에서 모델을 로드한 후 직접 에디터 내에서 이미지를 생성하거나 편집할 수 있습니다.

vismatch는 SIFT-LightGlue, LoFTR, SuperPoint-LightGlue 등 50개 이상의 이미지 매칭 모델을 하나의 사용하기 쉬운 API로 감싸는 Python 라이브러리입니다. 모델 다운로드, 이미지 로드, 매칭 및 시각화를 처리하며, 배치 처리를 위한 CLI 도구도 제공합니다. 최신 시각적 대응 방법의 실험과 비교를 간소화하는 것을 목표로 합니다.

ComfyUI에 Photoshop 스타일의 레이어 및 마스크 합성 기능을 도입하여 외부 편집 소프트웨어의 필요성을 줄여주는 노드 세트입니다.

Nano Banana Pro (Gemini) 이미지 생성 모델용으로 10,000개 이상의 커리레이티드 프롬프트를 검색하고 추천할 수 있는 AI 에이전트 기술.

FLUX 및 Qwen Image와 같은 Diffusion Transformer를 위해 학습 없이 모델 패칭(model patching)과 캐스케이드 정제(cascade refinement)를 사용하여 초고해解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解解text_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________- 4K+ 생성 기능을 제공하는 ComfyUI 커스텀 노드 팩입니다. 4K+ 생성 기능을 제공하는 ComFLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLX, FLUX, FLUX, content_content_content_content_content_content_content_content_content_content_content_content_content__content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_content_}^{\ even more detailed instructions for instructions-based instruction-tuning-tuning-tuning-tuning-tuning-tuning-tuning-tuning-tuning-tuning-tuning-tuning-tuning-tuning-tuning-tuning-tuning-content_content_content_content_content_________________________________                               _content_content_content_rectify-flow models, 使用하여 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4K+ 생성 기능을 제공하는 ComfyUI 커스텀 노드 팩입니다. 4K+ 생성 기능을 제공하는 ComFLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FLUX, FL_content_content_content_content_content_content_content_content_content_content______________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________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4K+ 생성 기능을 제공하는 ComfyUI 커스텀 노드 팩입니다. FLUX, Qwen Image, Z-Image, Anima/Cosmos와 같은 Diffusion Transformer 모델을 사용하여 초고해상도 4K+ 이미지를 생성하거나 기존의 latents를 고해상도로 업스케일링하고 싶은 ComfyUI 사용자들을 위한 것입니다. ## Highlights * **Multi-Architecture Support:** FLUX, Nunchaku, Qwen Image, Krea-2, Z-Image, Anima/Cosmos와 호환됩니다. * **Training-Free:** 재학습이나 미세 조정이 필요하지 않습니다. 로더(loader) 이후에 모델을 패칭하는 방식으로 작동합니다. * **Ultra-High Resolution:** 4096×4096 이상의 해상도로 이미지를 생성할 수 있습니다. * **Performance Boosts:** 추론 시간을 단축하기 위해 희소 어텐션(sparse-attention) 가속을 위한 HAP를 포함합니다. * **Seamless Integration:** 기존 샘플러와 최적화 노드와 호환성을 유지하는 단일 노드 통합 방식입니다.

수학적 공식과 랜덤 파라미터를 기반으로 수천 개의 점을 계산하여 고유한 이미지를 생성하는 생성 예술 생성기입니다.

attention‑map‑diffusers 는 Hugging Face Diffusers 이미지 및 동영상 생성 파이프라인의 어텐션 텐서를 캡처하고 시각화할 수 있는 Python 라이브러리로, 프롬프트, 이미지 패치 또는 동영상 프레임이 서로 어떻게 영향을 주는지 사용자가 확인할 수 있게 합니다.

HY-SOAR는 보상 없이 확산 모델의 노출 편향을 교정하는 사후 학습 방법으로, 생성 과정에서 모델이 자체 궤적 오류를 스스로 수정하도록 학습시킵니다.

Direct Preference Optimization을 사용하여 Stable Diffusion과 같은 이미지 생성 모델을 인간의 선호도에 맞게 정렬하는 Diffusion-DPO 학습 프레€임워크입니다.

LoRA 어댑터를 생성하기 위한 프레임워크로, 슬라이더 역할을 하여 Stable Diffusion 및 FLUX와 같은 확산 모델에서 특정 시각 개념을 정밀하게 제어할 수 있습니다.

GenClaw는 최종 렌더링 전 제어 가능한 캔버스로 실행 가능한 시각적 스케치(SVG, HTML/CSS)를 사용하는 코드 기반의 에이전트 프레임워크입니다.

LoHa 및 LoKr와 같은 다양한 파라미터 효율적인 미세조정 알고리즘을 구현하는 라이브러리로, 최소한의 저장 공간과 컴퓨팅 자원으로 고품질 모델 맞춤화를 가능하게 합니다.

Apple Silicon에서 Stable Diffusion 및 FLUX.2 Klein을 로컬로 실행하기 위한 macOS 네이티브 애플리케이션으로, Core ML를 통해 높은 성능과 낮은 메모리 사용량을 최적화했습니다.

AI를 사용하여 이미지를 확대하는 크로스플랫폼 이미지 슈퍼레졸루션 도구로, 사용자 정의 모델과 최신 Nvidia GPU를 지원합니다.

AUTOMATIC1111의 Stable Diffusion WebUI용 사용자 정의 스크립트로, 이미지의 서로 다른 영역에 다른 프롬프트를 지정하여 프롬프트 누수를 방지합니다.

기술적 지식 없이도 강력한 이미지 생성 AI를 로컬에서 실행할 수 있게 해주는 Stable Diffusion용 원클릭 설치 프로그램 및 사용자 인터페이스입니다.

상세한 메타데이터와 시각적 증거를 갖춘 600개 이상의 AI 이미지 및 동영상 업스케일링 모델을 탐색, 비교, 다운로드할 수 있는 커뮤니티 주도의 데이터베이스.

RunPod에서 ComfyUI를 서버리스로 실행할 수 있게 해주는 래퍼로, 확장 가능한 API 엔드포인트를 통해 복잡한 이미지 생성 워크플로우를 실행할 수 있습니다.

AI Image Detector는 이미지가 AI에 의해 생성되었을 가능성을 추정하는 오픈소스 Python 도구입니다. UnivFD, Sentry, Nonescape, 하이브리드 앙상블 등 여러 준비된 백엔드를 제공하며, 단일 명령(`aidetect detect …`)으로 파일이나 폴더를 검사해 확률과 라벨을 출력합니다. 선택적인 extras를 통해 Gradio 웹 UI 또는 FastAPI 서버를 사용할 수 있습니다. 레포에는 벤치마크 스크립트, 임계값 보정, 백엔드 선택 가이드가 포함되어 있습니다. 가볍고 한 번 설치하면 어디서든 실행 가능한 AI 이미지 탐지 유틸리티이며, 전역 보장이나 영역 수준 로컬라이제이션은 제공되지 않음이 명시되어 있습니다.

Anima 모델의 LoRA 미세 조정(LoRA fine-tuning)을 수행하기 위한 Web UI가 포함된 경량형식의 학습 환경입니다.

SD-WebUI, Forge, ComfyUI용 프롬프트 확장 확장 기능으로, TIPO와 DanTagGen LLM을 사용해 간단한 태그나 캡션을 세부적인 이미지 생성 프롬프트로 변환합니다.

고품질 텍스트 기반 이미지 생성과 정밀한 이미지 편집을 제공하는 오픈소스 통합 이미지 생성 및 편집 모델 패밀리로, 강력한 이중 언어(중국어-영어) 텍스트 렌더링 기능을 갖추고 있습니다.

DreamLite는 0.39B 파라미터의 컴팩트한 통합 확산 모델로, 최신 스마트폰에서 완전히 온디바이스로 초고속 1024x1024 이미지 생성 및 편집을 가능하게 합니다.

micro_sam은 napari 기반의 라이브러리로, 메타의 Segment Anything 모델을 현미경 이미징에 적응시킵니다. 몇 번의 클릭만으로 2D/3D 인터랙티브 세그멘테이션과 추적을 가능하게 하며, 현미경에 특화된 미세조정된 SAM 가중치를 포함하고, 선택적 자동 프롬프트 생성 및 가벼운 미세조정 도구도 제공합니다.

D-OPSD는 스텝 디퓨전 모델이 빠른 인퍼런스 능력을 유지하면서 새로운 스타일과 개념을 지속적으로 튜닝할 수 있게 해주는 온폴리시 셀프 디스틸레이션 프레임워크입니다.

PlateRecognition는 YOLO‑v5/v7/v8 및 TensorRT 기반의 다국적 번호판 감지 및 OCR 시스템입니다. 데스크탑, 서버, Android/iOS 및 다양한 엣지 AI 칩에서 실행되며, 최신 하드웨어에서 50 ms 미만의 지연 시간으로 99 % 이상의 정확도를 제공합니다. C/C++ 및 Python API를 제공하고, 다양한 언어를 지원하며, 웹 데모와 테스트 코드를 포함하고 있습니다.

PlantCV는 고속 식물 형질 분석을 위한 오픈소스 파이썬 라이브러리입니다. 세그멘테이션, 특징 추출 등의 모듈식 컴퓨터 비전 기능을 사용자 정의 분석 파이프라인에 연결할 수 있습니다. pip 또는 conda로 설치 가능하며, 풍부한 문서, 튜토리얼, 기여자 커뮤니티를 제공합니다.

Moebius는 아키텍처 최적화와 지식 증류를 통해 0.22B 파라미터로 10B 수준의 품질과 15배 빠른 추론 속도를 달성하는 경량 이미지 인페인팅 프레임워크입니다.