14 skills found
statico / Spittoon🖼 Sequential-art comic-strip generator written in Ruby which uses RMagick (2005)
damishshah / Comic Book ReaderPython application to identify speech bubbles and read text from comic book pages.
Rabbit1010 / Speech Bubble Aware Automatic Comic ColorizationSpeech bubble aware automatic comic colorization using CNN
kaisermann / ComicbubblesCSS-only 8 bit-like comic balloons
juanj / Speech Bubbles SwiftDetect and isolate speech bubbles from a comic image
reubendinny / CinecomicCinecomic is an automated movie-to-comic generator. Input a video and it generates a comic book for the same complete with a comic style and dialogue bubbles
cbrtekstraktor / CbrTekStraktorcbrTekStraktor is an application to automatically extract text from the text bubbles or speech balloons present in comic book reader files (CBR). Its prime goal is to perform analysis on the texts of comic books. cbrTekStraktor can however also be used for scanlation or similar purposes.
AsiriAmalk / Comic Speech Bubble Identifier Using PytesseractIdentifying and Detect Comic Bubble - OCR method Pytesseract (Python Library)
midudev / Komic.appComic speech bubbles without hassle
RobinaMirbahar / Comic Studio AIMulti-Agent Comic Generator powered by the @google-gemini API. Turn simple prompts into comics with AI-generated stories, consistent characters, auto speech bubbles, and 7 language support. Built with FastAPI and deployed on Google Cloud Run.
lisaks / Comfyui PanelforgeComfyUI extension for comic book panel creation. Adds nodes for panel layout, speech bubbles, and sequential art workflow.
paarshan4800 / Comic Bubble SegmentationSpeech Bubbles in comic images are segmented and its text are extracted.
AsiriAmalk / Comic Speech Bubble Identifier Using OcrSpaceIdentifying, Detect and Visualize Comic Bubbles using OCR(Optical Character Recognition) with OCR_Space
AurelienColin / MangaTextCleanerThis application aims to facilitate the cleaning of manga/BD/comic speech bubble. It use a basic U-Net model pre-segment the bubbles, then ask the user to choose the area to remove. Unfortunately, it is not yet possible to let the model run by itself on multiple images, the foremost limitation being the size of the dataset used to train the model. However, I'm certain that some could find this application useful.
