# speridlabs/idol-sdk > Idol is an inference SDK that turns a single image of an object into a 3D Gaussian splat, including unseen sides, running on consumer GPUs with 7.2 GB VRAM in under 2 seconds. - Magnitude: 5.0 out of 10 — Early signal - Stars: 143 total · +30 stars measured 2026-10-30, 13:01–15:23 UTC, ≈ 50 by evening - Star trust: star growth looks organic - Category: Generative media · Language: Python · License: Apache-2.0 · Created: 2026-10-28 · Last push: 2026-10-29 - GitHub: https://github.com/speridlabs/idol-sdk · Page: https://gitnova.dev/en/r/speridlabs/idol-sdk ## Useful for - Generate a 3D Gaussian splat from a product photo for a web viewer - Batch-convert synthetic renders into .ply models for a game asset pipeline - Run the Gradio demo locally to test your own images ## Why it’s here - Star-counter measurements on 2026-10-30 (UTC), 13:01–15:23: 113 → 143 stars (+30). This is the change over that interval. - Estimated end-of-day forecast: about +49 stars, using observed gains and the previous day. - The repository is 2 days old and already has 143 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #161. - About 10 forks a day — people are taking the code. - Recent forks include notable developers: @ivanfioravanti (589 followers). ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 8 - Issues and pull requests: 2 - Watchers: 1 - Average over the last week: 42 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 22 ## Stars per day, last 3 days (oldest → newest, today is partial) 2026-10-28 … 2026-10-30: 0, 75, 30 ## Spotted in now - Top new repositories this week: #161 ## More in this category 1. **paipiange/nvzhuang** — 8.0 · Early signal · Generative media · Go · +793 stars measured 2026-10-30, 00:16–15:22 UTC, ≈ 1,119 by evening A static catalog of 1407 AI-generated women's clothing images with bilingual search and optional virtual try-on via external image generation models. Full card: https://gitnova.dev/en/r/paipiange/nvzhuang.md 2. **anhao/ai-pose-gallery-zh** — 7.0 · Peaking · Generative media · HTML · +714 stars measured 2026-10-30, 00:15–15:22 UTC, ≈ 1,107 by evening Chinese localization of an AI pose reference gallery: 1439 records and 2878 images with a ready-to-deploy dependency-free static site. Useful for artists and 3D modelers picking poses. Full card: https://gitnova.dev/en/r/anhao/ai-pose-gallery-zh.md 3. **sleepy-zone/ai-ref-library-cn** — 6.7 · Early signal · Generative media · JavaScript · +207 stars measured 2026-10-30, 03:05–15:23 UTC, ≈ 310 by evening A Chinese-language search interface for three sets of AI drawing reference materials (faces, poses, clothing) by author agi/gia, with translated tags, bilingual search and one-click prompt copying. Full card: https://gitnova.dev/en/r/sleepy-zone/ai-ref-library-cn.md 4. **D3voz/openjutsu** — 6.1 · Early signal · Generative media · TypeScript · +141 stars measured 2026-10-30, 00:16–15:23 UTC, ≈ 219 by evening A local web app for swapping characters and objects in videos: drop a video and a character photo, and the main person in the frame is replaced by your character while camera, cuts and soundtrack stay intact. Runs on your own GPU via… Full card: https://gitnova.dev/en/r/D3voz/openjutsu.md 5. **Pika-Labs/Pika-H3-Flex** — 5.8 · Early signal · Generative media · Python · +36 stars measured 2026-10-30, 09:22–15:23 UTC, ≈ 64 by evening Pika H3 Flex model for local inference of video generation with synchronized stereo audio in six sampling steps, supporting text, endpoint frames and multimodal references. Full card: https://gitnova.dev/en/r/Pika-Labs/Pika-H3-Flex.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-10-30 15:39 UTC, updated every 30 minutes.