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MiniMax H3 Studio
@mvrdvk•5h ago
Continuum Update (v2026‑10‑14)Continuum now supports two ways to build longer videos: - Single Prompt: Repeat one prompt across the selected number of sections. - Per Section: Write a separate prompt for each section. What’s improved - Fixed an issue that could regenerate earlier sections when extending a video. - Added shared character and setting text for every new section. - Added Balanced (22 frames) and experimental Strong (39 frames) transition context. - Continuations preserve the original seed, model settings, shared context and transition preset. - The interface now shows existing duration + added duration \= total duration . Validated with Studio Draft settings: 480p, 12 steps, 5 + 5 seconds. Saved-section reuse was confirmed, and both stickman fighters remained in the scene as the action continued into combat. Spectrum compatibility: Spectrum is bypassed in Continuum because it interfered with safe saved-section reuse. It remains available for ordinary H3 generation. Older Spectrum-enabled Continuum runs require a new series; existing videos are preserved. Continuum remains experimental . Character details, camera, lighting and motion can still drift. Strong context is not always better, so Balanced remains the default. Audio continuity and longer sequences need further testing. Update through Pinokio, restart Studio when the queue is idle, and refresh the page. ☕ Support development: https://buymeacoffee.com/erdindev
Captionz
@supersoniquestudio•2d ago
1-click Pinokio launcher for Captionz — batch image captioning with local Ollama vision models. What it does Installs and launches Captionz in one click: Install — clones mikecastrodemaria/Captionz into app/, creates a venv and installs the requirements (Pillow, NiceGUI, Gradio). No PyTorch: the models run in Ollama, or in a bundled llama.cpp server (see below). Start (web UI) — runs the NiceGUI interface (python app.py --ui web) and opens it. Start (Gradio UI) — runs the Gradio interface (python gradio_app.py), the same one used on Hugging Face Spaces, here with the Ollama backend. Update — resets the launcher and the app to their origin/main, refreshes deps. Reset — removes app/ (and its venv) to reinstall from scratch. Features (Captionz) Vision-model detection · composed prompts (caption type × length × 20 checkable options × character name) or custom prompt with a live preview · sources: local path, upload, clipboard paste · image preview · editable captions · skip / overwrite / append policy · prefix / suffix (trigger word) · live status (model loading, timer, percent, ETA) · max-tokens cap and thinking switch · dark mode · CLI and benchmark script. See the app repo for full docs. Requirements Pinokio installed. Either Ollama running on the machine (or reachable on the network: change the URL in the UI) with at least one vision model, for example ollama pull qwen3-vl:8b, or no Ollama at all: pick the backend "llama.cpp (sans Ollama)" in the UI. On first captioning Captionz downloads a prebuilt llama-server for your machine (CUDA / Vulkan / CPU / Metal, 150–500 MB) and the default model Qwen2.5-VL-3B-Instruct Q4_K_M (~2.9 GB) into app/llamacpp/. Other GGUF models can be downloaded from Hugging Face or imported from a local Ollama store from the "Modèles llama.cpp…" dialog. Captions are written next to each image as image.txt. How to use Install, then Start (web UI) and click Open Web UI. Pick the vision model, add a folder path (or upload / paste images). Choose a caption type, length and options; check the final prompt preview. Click Captionner tout. Edit any caption in the right panel and save. API Captionz has no HTTP API of its own. Two programmatic entry points exist in app/: Command line (Python, inside the launcher venv) python cli.py ./dataset --recursive --type "Booru tag list" --length short python cli.py ./dataset --model qwen3-vl:8b --option 3 --option 15 --prefix "mystyle, " python cli.py --list-models python cli.py --list-options Python (import the core) import sys; sys.path.insert(0, "app") from pathlib import Path from captionz_core import Settings, Job, make_backend, caption_job s = Settings.load() s.model = "qwen3-vl:8b" s.caption_type, s.caption_length = "Training caption (paragraph)", "long" job = caption_job(Job(Path("photo.jpg")), s, make_backend(s)) print(job.status, job.caption) Gradio UI API (when "Start (Gradio UI)" is running) Gradio exposes every event as an endpoint; open <url>/?view=api for the generated docs, or from Python: from gradio_client import Client, handle_file c = Client("http://127.0.0.1:7860") print(c.view_api()) JavaScript (Gradio client) import { Client } from "@gradio/client"; const c = await Client.connect("http://127.0.0.1:7860"); console.log(await c.view_api()); Curl (Ollama directly, same request Captionz sends) curl http://localhost:11434/api/chat -d '{ "model": "qwen3-vl:8b", "stream": false, "messages": [{"role": "user", "content": "Describe this image in one short sentence.", "images": ["<base64 image>"]}] }'
PhospheneFeatured
@bizarro•3d ago
Phosphene 4.19 - Last TakeOne night, one director, one take before the sun comes up. Every shot, every sound and the song were made in Phosphene on one Mac. - The rain on the backlot was a silent clip. Add sound wrote the rain and the thunder that hits right on the lightning, and kept every frame exactly as it was. - The stage coming alive is Keyframes: one dark frame with only the ghost light on, one fully lit frame, and Hailuo H3 made everything in between. Extend then carried it 5 more seconds. - The long push-in on Bizarro is a 5 second clip made longer twice with Extend. Each new piece carries the last frames and their sound, so it plays as one unbroken 15 second move. - The film camera rolling is Fast HD: a quick small H3 render, finished at 1280x768 by LTX's x2 Upscale & Face Fix. - The finale is Lip-sync on H3 with our own song: the song is kept exactly, only his face is made to sing it. The song itself came out of Phosphene's Music Studio and scores the whole film. Also in 4.19: - 10 and 15 second H3 shots join more smoothly (the jump in sound at the seam is mostly gone). - Fast HD: about a third quicker than High, for previews and quick drafts. - Extending a clip again and again no longer wears it down ( 48) - Characters you trained in Phosphene finally look like who you trained - thank you @tanis2000 ( 62) 4.19.1: voices trained on 4.19.0 are repaired on Update, a failed training now says why, and the Stop early button no longer covers the time left (thanks @blackest) Press Update in Pinokio, then restart. https://github.com/mrbizarro/Phosphene/releases/tag/v4.19.0
Iris-3B Studio
@thomas_eric•4d ago
Iris 3B Studio is Now Available!Iris 3B Studio is Now Available! Not only is a incredible text-to-image model, but it also has upscaling capabilities and depth map generation!
SeedVR2-7B MLX
@rdx_ai•5d ago
New Update with Multiple/batch import, Library tab!Updated with Multiple/batch import support, New Library tab for viewing multiple images in a session.. Fastest and most Memory Efficient Seedvr2 implementation for Apple Silicon Mac..
LightOnOCR 3
@cocktailpeanut•5d ago
LightOnOCR-3: Turn PDFs and images into structured text locally (Mac, Windows, Linux)LightOnOCR 3 is now available on Pinokio. It's a sequel to the LightOnOcr 2 model, which you can try here (thanks to @theawakenone ) https://pinokio.co/apps/github-com-theawaken1-lightonocr-2-1b-pinokio This LightOnOCR 3 launcher implements the backend using huggingface transformers and lets you run 3 variations of the model: - 0.8B - 1B - 4B The launcher includes LightOn’s original web interface, available at: https://github.com/lightonai/LightOnOCR Demo Here's how it works. You just launch the app and open any PDF or image file: Features - View the source document alongside the extracted text - inspect layout boxes showing where content came from - revisit previous runs. Examples
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MaestroFeatured
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Generate editable Ideogram JSON prompts from uploaded images.
cocktailpeanut/image-to-promptv7.0updated 17d ago
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I've downloaded the github GEV zip and extracted it to a folder. I've installed Pinokio and clicked t...
@snacko · God's Eye View1
Travail parfait , je suis loin de celà notamment pour la musique et le titrage, je travaille encore m...
@arkinou · MiniMax H3 Studio1
New on Pinokio
@cocktailpeanut · theprototype.app
Automatically discovered via GitHub
Why i am unable to access all map resources? ESRI and OSM only working. I don't have any API's.... Ca...
@idrispaatwala6 · God's Eye View1
Continuum Update (v2026‑10‑14)
@mvrdvk · MiniMax H3 Studio
Continuum now supports two ways to build longer videos: - Single Prompt: Repeat one prompt across the...
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Global radar

Projects getting attention.

Followed·1 min
HunyuanVideo
[NVIDIA ONLY] Super Optimized Gradio UI for Hunyuan Video Generator that works on GPU poor machines. Generate up to 10~14 sec videos https://github.com/deepbeepmeep/HunyuanVideoGP
Followed·1 min
Maestro
An all-in-one, 100% local AI creative studio, director, and multi-track editor. Generate with MiniMax H3, LTX-2.5/2.3, Wan, Flux, Qwen, and more; turn an idea or song into a planned production; then finish it on the timeline. Requires an NVIDIA GPU (6GB+ VRAM).
Followed·3 min
Wan2GP
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VoiceStudio
Local voice cloning, dubbing, transcription, and audiobooks. Windows/Linux x64 and Apple Silicon macOS.
Followed·4 min
Comfyui
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