{"schema":"catalog-search/v2","items":[{"kind":"record","record":{"id":"src_01M6WCHXR5BAGMTDQEFX9TKSK1","type":"source","title":"ComfyUI UltimateSDUpscale: tiled diffusion upscaling nodes for ComfyUI","summary":"ComfyUI nodes that run the image-to-image diffusion process on large images in tiles. The README says this improves the details commonly lost in upscaled images, reduces hardware requirements and keeps the image consistent. It is a port of the Ultimate SD Upscale script for the Automatic1111 web UI. The nodes sit under image/upscaling, with in-app node docs, a parameter reference and example workflows available from the Templates menu.","snippet":"that run the image-to-image diffusion process on large images in tiles. The <b>README</b> says this improves the details commonly lost in <b>upscaled</b> images, reduces hardware requirements and keeps","status":"active","categories":["T08","T05"],"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed"},"url":"https://veyrul.com/sources/src_01M6WCHXR5BAGMTDQEFX9TKSK1","api_url":"https://veyrul.com/v1/records/src_01M6WCHXR5BAGMTDQEFX9TKSK1","updated_at":"2026-11-08T01:32:20.576Z","score":0.3083}},{"kind":"record","record":{"id":"src_01M6V3Z4A66R81BP2GP8K7EKW0","type":"source","title":"Node-RED: low-code programming for event-driven applications, README overview","summary":"The README tags Node-RED as low-code programming for event-driven applications.","snippet":"<b>README</b> tags <b>Node</b>-RED as low-code programming for event-driven applications. What it supplies: The <b>README</b> tags <b>Node</b>-RED as low-code programming for event-driven applications","status":"active","categories":["T04"],"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed"},"url":"https://veyrul.com/sources/src_01M6V3Z4A66R81BP2GP8K7EKW0","api_url":"https://veyrul.com/v1/records/src_01M6V3Z4A66R81BP2GP8K7EKW0","updated_at":"2026-11-07T13:43:01.667Z","score":0.2839}},{"kind":"record","record":{"id":"src_01M6VCP40F4APVK7374ZSKTCN0","type":"source","title":"SLSA: supply-chain levels for software artifacts specification, README overview","summary":"The README presents SLSA as a framework with levels for improving software supply chain security.","snippet":"<b>README</b> presents SLSA as a framework with levels for improving software supply <b>chain</b> security. What it supplies: The <b>README</b> presents SLSA as a framework with levels for improving software","status":"active","categories":["T20"],"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed"},"url":"https://veyrul.com/sources/src_01M6VCP40F4APVK7374ZSKTCN0","api_url":"https://veyrul.com/v1/records/src_01M6VCP40F4APVK7374ZSKTCN0","updated_at":"2026-11-07T16:15:23.631Z","score":0.306}},{"kind":"record","record":{"id":"src_01M6V9VBTGQMMV8RK19QQZ6DP9","type":"source","title":"in-toto: software supply chain integrity framework, README overview","summary":"The README presents in-toto as a framework that protects supply chain integrity by verifying steps, authorized functionaries and untampered products.","snippet":"<b>README</b> presents in-toto as a framework that protects supply <b>chain</b> integrity by verifying steps, authorized functionaries and untampered products. What it supplies: The <b>README</b> presents in-toto","status":"active","categories":["T20"],"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed"},"url":"https://veyrul.com/sources/src_01M6V9VBTGQMMV8RK19QQZ6DP9","api_url":"https://veyrul.com/v1/records/src_01M6V9VBTGQMMV8RK19QQZ6DP9","updated_at":"2026-11-07T15:25:49.740Z","score":0.3053}},{"kind":"record","record":{"id":"src_01M6VCNZ8K9APB3JGFFCXYVPZ0","type":"source","title":"Rekor: signature transparency log for software supply chain metadata, README overview","summary":"The README presents Rekor as the signature transparency log within Sigstore's signing infrastructure.","snippet":"<b>README</b> presents Rekor as the signature transparency log within Sigstore's signing infrastructure. What it supplies: The <b>README</b> presents Rekor as the signature transparency log within Sigstore's signing infrastructure","status":"active","categories":["T20"],"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed"},"url":"https://veyrul.com/sources/src_01M6VCNZ8K9APB3JGFFCXYVPZ0","api_url":"https://veyrul.com/v1/records/src_01M6VCNZ8K9APB3JGFFCXYVPZ0","updated_at":"2026-11-07T16:15:18.767Z","score":0.3048}},{"kind":"record","record":{"id":"src_01M6V81F4QZ516PHDH7TA917SJ","type":"source","title":"glTF Sample Assets: Khronos collection of example glTF 2.0 models, README overview","summary":"The README presents the repository as a curated collection of glTF models that illustrate glTF features, useful for testing and learning.","snippet":"<b>README</b> presents the repository as a curated collection of glTF models that <b>illustrate</b> glTF features, useful for testing and learning. What it supplies: The <b>README</b> presents the repository","status":"active","categories":["T16"],"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed"},"url":"https://veyrul.com/sources/src_01M6V81F4QZ516PHDH7TA917SJ","api_url":"https://veyrul.com/v1/records/src_01M6V81F4QZ516PHDH7TA917SJ","updated_at":"2026-11-07T14:54:12.596Z","score":0.294}},{"kind":"record","record":{"id":"src_01M6VCP1W6B5TNMYQDSCF9C03B","type":"source","title":"Fulcio: free certificate authority for code signing with OIDC identities, README overview","summary":"The README presents Fulcio as a free CA that binds short-lived signing certificates to OIDC identities.","snippet":"<b>README</b> presents Fulcio as a free CA that binds short-lived signing certificates to OIDC identities. What it supplies: The <b>README</b> presents Fulcio as a free CA that binds short","status":"active","categories":["T20"],"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed"},"url":"https://veyrul.com/sources/src_01M6VCP1W6B5TNMYQDSCF9C03B","api_url":"https://veyrul.com/v1/records/src_01M6VCP1W6B5TNMYQDSCF9C03B","updated_at":"2026-11-07T16:15:21.449Z","score":0.2934}},{"kind":"record","record":{"id":"src_01M6WAKH1QJTSCTSJ2RSYMPXHS","type":"source","title":"HAT: hybrid attention transformer for image super-resolution and restoration","summary":"HAT (Hybrid Attention Transformer) is the official code for two papers on image super-resolution and restoration. The README gives SRx4 benchmark numbers against SwinIR on Set5, Set14, BSD100, Urban100 and Manga109, lists released models (HAT, small HAT-S, and GAN-based real-world models including a sharper variant), a Replicate demo for SRx4, a tile mode for inference with limited GPU memory, and training configs.","snippet":"official code for two papers on image super-resolution and restoration. The <b>README</b> gives SRx4 benchmark numbers against SwinIR on Set5, Set14, BSD100, Urban100 and Manga109, lists released models","status":"active","categories":["T20","T12"],"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed"},"url":"https://veyrul.com/sources/src_01M6WAKH1QJTSCTSJ2RSYMPXHS","api_url":"https://veyrul.com/v1/records/src_01M6WAKH1QJTSCTSJ2RSYMPXHS","updated_at":"2026-11-08T00:58:15.956Z","score":0.2872}},{"kind":"record","record":{"id":"src_01M6VCP5Q411H34BD2F5PKR1RX","type":"source","title":"Syft: CLI and Go library for generating SBOMs from images and filesystems, README overview","summary":"The README presents Syft as a generator of SBOMs for images, filesystems and archives.","snippet":"<b>README</b> presents Syft as a generator of SBOMs for images, filesystems and archives. What it supplies: The <b>README</b> presents Syft as a generator of SBOMs for images, filesystems and archives","status":"active","categories":["T20"],"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed"},"url":"https://veyrul.com/sources/src_01M6VCP5Q411H34BD2F5PKR1RX","api_url":"https://veyrul.com/v1/records/src_01M6VCP5Q411H34BD2F5PKR1RX","updated_at":"2026-11-07T16:15:25.375Z","score":0.2932}},{"kind":"record","record":{"id":"src_01M6W7DTMZQE5WEJX0TXHHTJ53","type":"source","title":"Jekyll: blog-aware static site generator, README overview","summary":"The README presents Jekyll as a simple file-based static site generator suited to blogs and project sites.","snippet":"<b>README</b> presents Jekyll as a simple file-based static site generator suited to blogs and project sites. What it supplies: The <b>README</b> presents Jekyll as a simple file-based static","status":"active","categories":["T01"],"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed"},"url":"https://veyrul.com/sources/src_01M6W7DTMZQE5WEJX0TXHHTJ53","api_url":"https://veyrul.com/v1/records/src_01M6W7DTMZQE5WEJX0TXHHTJ53","updated_at":"2026-11-08T00:02:43.447Z","score":0.2824}},{"kind":"record","record":{"id":"src_01M6VBDG8KYVE53CKX8ZDPBN8S","type":"source","title":"OpenMVS: multi-view stereo reconstruction library","summary":"OpenMVS is a library aimed at the multi-view stereo reconstruction community. The README says it provides dense point-cloud reconstruction, mesh reconstruction, mesh refinement to recover fine detail and mesh texturing, and complements structure-from-motion pipelines such as OpenMVG. A script, MvsScalablePipeline.py, runs the whole chain for scenes too large for memory by splitting them into sub-scenes.","snippet":"OpenMVS is a library aimed at the multi-view stereo reconstruction community. The <b>README</b> says it provides dense point-cloud reconstruction, mesh reconstruction, mesh refinement to recover fine detail","status":"active","categories":["T15","T19"],"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed"},"url":"https://veyrul.com/sources/src_01M6VBDG8KYVE53CKX8ZDPBN8S","api_url":"https://veyrul.com/v1/records/src_01M6VBDG8KYVE53CKX8ZDPBN8S","updated_at":"2026-11-07T15:53:12.644Z","score":0.2906}},{"kind":"record","record":{"id":"src_01M6VAXD7H2BBW43FKV2A082CW","type":"source","title":"CTranslate2: fast inference library for Transformer models, README overview","summary":"The README presents CTranslate2 as an optimised inference runtime for Transformer models.","snippet":"<b>README</b> presents CTranslate2 as an optimised inference runtime for Transformer models. What it supplies: The <b>README</b> presents CTranslate2 as an optimised inference runtime for Transformer models.\n\nUseful for: - Run supported","status":"active","categories":["T09"],"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed"},"url":"https://veyrul.com/sources/src_01M6VAXD7H2BBW43FKV2A082CW","api_url":"https://veyrul.com/v1/records/src_01M6VAXD7H2BBW43FKV2A082CW","updated_at":"2026-11-07T15:44:25.295Z","score":0.2824}},{"kind":"record","record":{"id":"src_01M6W7A78PZA6BN0WMKZ3PB8EC","type":"source","title":"proselint: linter for English prose, README overview","summary":"The README presents proselint as a prose linter that applies published writing advice automatically.","snippet":"<b>README</b> presents proselint as a prose linter that applies published writing advice automatically. What it supplies: The <b>README</b> presents proselint as a prose linter that applies published writing advice automatically","status":"active","categories":["T01"],"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed"},"url":"https://veyrul.com/sources/src_01M6W7A78PZA6BN0WMKZ3PB8EC","api_url":"https://veyrul.com/v1/records/src_01M6W7A78PZA6BN0WMKZ3PB8EC","updated_at":"2026-11-08T00:00:45.260Z","score":0.2824}},{"kind":"record","record":{"id":"src_01M6SB2055DZQVJ5082PTDPAT1","type":"source","title":"The Anime Scripter","summary":"README: CLI, Windows desktop app (TAS-Standalone) and After Effects panel for upscale, interpolate (RIFE 4.6-4.26), restore, dedup, depth, segmentation, stabilize and motion blur in one in-memory GPU pipeline.","snippet":"<b>README</b>: CLI, Windows desktop app (TAS-Standalone) and After Effects panel for <b>upscale</b>, interpolate (RIFE 4.6-4.26), restore, dedup, depth, segmentation, stabilize and motion blur in one in-memory","status":"active","categories":["T10"],"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed"},"url":"https://veyrul.com/sources/src_01M6SB2055DZQVJ5082PTDPAT1","api_url":"https://veyrul.com/v1/records/src_01M6SB2055DZQVJ5082PTDPAT1","updated_at":"2026-11-06T21:08:26.879Z","score":0.288}},{"kind":"record","record":{"id":"src_01M6WAGZ1Z86R6RMB2568Y1XT7","type":"source","title":"VTracer: raster to vector graphics converter","summary":"VTracer is open-source software to convert raster images such as JPG and PNG into SVG, handling colour images and photographs and producing compact vector files. The README compares it with Potrace (which does not handle colour in the same way) and with Illustrator's Image Trace, says it was designed for very large scans of historic blueprints and also handles low-resolution pixel art, and lists desktop app features: an A/B comparator, curve inspector, curve simplification, seam-free cutout, watershed clustering, adaptive black-and-white thresholding and fixed colour palettes.","snippet":"into SVG, handling colour images and photographs and producing compact vector files. The <b>README</b> compares it with Potrace (which does not handle colour in the same way) and with <b>Illustrator</b>","status":"active","categories":["T09","T17"],"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed"},"url":"https://veyrul.com/sources/src_01M6WAGZ1Z86R6RMB2568Y1XT7","api_url":"https://veyrul.com/v1/records/src_01M6WAGZ1Z86R6RMB2568Y1XT7","updated_at":"2026-11-08T00:56:51.996Z","score":0.2883}},{"kind":"record","record":{"id":"src_01M6VDEFD3TRA7JYMKY6N3Y8VZ","type":"source","title":"SGLang: fast inference framework for LLMs and multimodal models, README overview","summary":"The README presents SGLang as a high-performance serving framework for language, vision and diffusion models.","snippet":"<b>README</b> presents SGLang as a high-performance serving framework for language, vision and diffusion models. What it supplies: The <b>README</b> presents SGLang as a high-performance serving framework for language","status":"active","categories":["T09"],"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed"},"url":"https://veyrul.com/sources/src_01M6VDEFD3TRA7JYMKY6N3Y8VZ","api_url":"https://veyrul.com/v1/records/src_01M6VDEFD3TRA7JYMKY6N3Y8VZ","updated_at":"2026-11-07T16:28:41.723Z","score":0.2824}},{"kind":"record","record":{"id":"src_01M6WCHV94HHGDHJSCJZYFBHDX","type":"source","title":"ComfyUI Frame Interpolation: video frame interpolation nodes for ComfyUI","summary":"A custom node set for video frame interpolation in ComfyUI. The README lists nodes for RIFE (4.0 to 4.9), FILM, GMFSS Fortuna, IFRNet, IFUnet, M2M, Sepconv, AMT, STMFNet, FLAVR, ATM-VFI and MoMo, plus a helper to make an interpolation state list and a KSampler variant that gradually adds more denoise. Updates note reduced RAM and VRAM use and support for scheduled multiplier values. STMFNet and FLAVR need at least 4 frames, and ATM-VFI and MoMo only do 2x.","snippet":"custom <b>node</b> set for video frame interpolation in ComfyUI. The <b>README</b> lists <b>nodes</b> for RIFE (4.0 to 4.9), FILM, GMFSS Fortuna, IFRNet, IFUnet, M2M, Sepconv, AMT, STMFNet, FLAVR","status":"active","categories":["T08","T10"],"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed"},"url":"https://veyrul.com/sources/src_01M6WCHV94HHGDHJSCJZYFBHDX","api_url":"https://veyrul.com/v1/records/src_01M6WCHV94HHGDHJSCJZYFBHDX","updated_at":"2026-11-08T01:32:18.051Z","score":0.2919}},{"kind":"record","record":{"id":"src_01M569EERM2WRMPHCWQ087KTYX","type":"source","title":"ProPainter (video inpainting, ICCV 2023)","summary":"ProPainter (ICCV 2023) is a video inpainting model that improves propagation and transformer components for removing objects from video and completing missing regions. The README shows inference commands that take a video or frame folder plus a mask, options for resolution and fp16, memory-efficient inference with a configurable sub-video length so GPU memory no longer scales with clip length, and a Hugging Face demo that now supports SAM 2.1 for interactive segmentation. The authors removed watermark-removal demos to prevent misuse.","snippet":"propagation and transformer components for removing objects from video and completing missing regions. The <b>README</b> shows inference commands that take a video or frame folder plus a mask, options","status":"active","categories":["T11","T09"],"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed"},"url":"https://veyrul.com/sources/src_01M569EERM2WRMPHCWQ087KTYX","api_url":"https://veyrul.com/v1/records/src_01M569EERM2WRMPHCWQ087KTYX","updated_at":"2026-11-08T01:33:40.193Z","score":0.2907}},{"kind":"record","record":{"id":"src_01M6W7JNQ4P7SJT7P69SW752JM","type":"source","title":"DSPy: framework for programming rather than prompting language models, README overview","summary":"The README presents DSPy as a way to build LM systems from Python modules and let optimizers tune prompts and weights.","snippet":"<b>README</b> presents DSPy as a way to build LM systems from Python modules and let optimizers tune prompts and weights. What it supplies: The <b>README</b> presents DSPy","status":"active","categories":["T09"],"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed"},"url":"https://veyrul.com/sources/src_01M6W7JNQ4P7SJT7P69SW752JM","api_url":"https://veyrul.com/v1/records/src_01M6W7JNQ4P7SJT7P69SW752JM","updated_at":"2026-11-08T00:05:22.242Z","score":0.2824}},{"kind":"record","record":{"id":"src_01M6WJBFH8R5QEXJ2ZPFKJ0HB2","type":"source","title":"SugarCube v2: story format for Twine and Twee, README overview","summary":"The README presents SugarCube as a story format that runs Twine stories, with source build steps for developers.","snippet":"<b>README</b> presents SugarCube as a story format that runs Twine stories, with source build steps for developers. What it supplies: The <b>README</b> presents SugarCube as a story format that runs","status":"active","categories":["T18"],"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed"},"url":"https://veyrul.com/sources/src_01M6WJBFH8R5QEXJ2ZPFKJ0HB2","api_url":"https://veyrul.com/v1/records/src_01M6WJBFH8R5QEXJ2ZPFKJ0HB2","updated_at":"2026-11-08T03:13:40.871Z","score":0.2835}},{"kind":"guide_preview","preview":{"schema":"guide-preview/v1","id":"art_01M6N4DF9GBFYH059WY9HQWK67","type":"article","revision":1,"title":"chaiNNer README: a node chain for cleaning up or upscaling an illustration","coverage":"For artists and editors who want to know what chaiNNer's README says about installing it, picking a neural network framework for their GPU, and chaining nodes for one image or a folder. Based only on the README and licence file at one commit; nothing was installed or run and no output quality is claimed.","example":null,"tips":["The README warns that some NCNN users on non-Nvidia GPUs may get all-black outputs and suggests setting a tiling amount.","Two nodes that iterate over batches, such as the folder and video loaders, cannot be used together in one chain.","Keep the original file and compare any result with it by eye before replacing anything."],"categories":["T05"],"tags":["chainner","node-based","image-processing","upscaling","batch-processing","gpu-support","documented-not-tested"],"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed","review_revision":null},"media":[]}},{"kind":"guide_preview","preview":{"schema":"guide-preview/v1","id":"art_01M6MTHV2PFTZ8P3T1FW6Y7M7K","type":"article","revision":1,"title":"Fooocus readme checklist for repairing or extending an illustration: inpaint, outpaint, upscale, variation","coverage":"Maps what the Fooocus readme says about fixing or extending one region of a generated illustration, plus hardware needs, access settings and prompt operators, for people picking an image tool. Based on the pinned readme and LICENSE text only; nothing was installed or run.","example":null,"tips":["The readme says the project is in limited long-term support, built on Stable Diffusion XL, so check that fits the job before starting.","Keep the original file and compare any repaired result beside it before you replace anything.","The readme says the network listen and share options are unauthenticated by default; set up basic authentication before exposing the interface."],"categories":["T05"],"tags":["fooocus","inpainting","outpainting","upscale","variation","sdxl","image-prompt","gpl-as-written","documented-not-tested"],"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed","review_revision":null},"media":[]}},{"kind":"guide_preview","preview":{"schema":"guide-preview/v1","id":"art_01M6GPE42JN7GSKN2G3NRGNE2W","type":"article","revision":1,"title":"Standard Ebooks Manual of Style 1.9.1, section 10: cover art, titlepage and image rules (documentation read, not run)","coverage":"For anyone preparing a cover or images for a Standard Ebooks edition. It records what that one page says about cover and titlepage files, which cover art is acceptable, how US public domain status must be shown, and image size limits. Based on the page text only; nothing was built, and it does not cover other publishers.","example":null,"tips":["The page states the cover art rule for AI directly and says nothing about AI interior illustrations, upscaling or colourising, so those questions need asking the project.","The page says age or a Wikipedia statement is not enough to clear a painting; it wants a page scan of a pre-1931 book that reproduces it.","The museum cues listed on the page were not rechecked here and may have changed, so confirm the specific image's marking before relying on it."],"categories":["T05"],"tags":["standard-ebooks","cover-art","ebook-cover","public-domain-clearance","not-ai-generated","svg","documented-not-tested"],"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed","review_revision":null},"media":[]}},{"kind":"guide_preview","preview":{"schema":"guide-preview/v1","id":"art_01M6H7EEZ9T9KJJH8V2ZX5SB4T","type":"article","revision":1,"title":"Krita AI Diffusion documentation notes: painting and editing scenes in Krita with generate, refine, regions and control layers","coverage":"For illustrators and comic or book artists weighing the Krita AI Diffusion plugin. It summarizes what the project's own documentation says about generating, refining, selections, regions, control layers, edit models, upscaling and licensing. It is based on documentation at one commit; nothing was installed or run.","example":null,"tips":["The regions page says regions are not a composition tool, so use a sketch, line or depth layer to fix the layout.","Refining below 100% strength starts from the canvas, so apply a previous result first or you refine a blank canvas.","Edit models work best at about 1MP and with one specific change per instruction."],"categories":["T05"],"tags":["krita","krita-ai-diffusion","comfyui","inpainting","regions","control-layers","edit-models","illustration-workflow","gpl-3.0","documented-not-tested"],"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed","review_revision":null},"media":[]}}],"truncated":true,"has_more":true,"next_cursor":"eyJyZWZlcmVuY2UiOiJNakEiLCJwcmV2aWV3IjpudWxsLCJxIjoiY2hhaU5OZXIgUkVBRE1FOiBhIG5vZGUgY2hhaW4gZm9yIGNsZWFuaW5nIHVwIG9yIHVwc2NhbGluZyBhbiBpbGx1c3RyYXRpb24iLCJ0eXBlcyI6W10sImNhdGVnb3JpZXMiOltdfQ","ordering":"bounded_reference_and_preview_lanes"}