This repository hosts the downloadable runtime files for Higgs Audio v3 Studio, a Windows desktop app for local Higgs Audio v3 TTS, voice cloning, speech continuation, and multi-speaker generation. This repository is not the original upstream model release. It provides GGUF model builds, the Windows CUDA engine DLL package, checksums, and a manifest used by the desktop app downloader. Higgs Audio v3 Studio is a Rust/Tauri desktop application that runs a ported native C++/CUDA implementation of Higgs Audio v3 locally. - Engine dependency diagnostics for missing CUDA/MSVC runtime DLLs Use the desktop app from GitHub releases: https://github.com/Saganaki22/Higgs-Audio-v3-Studio/releases…
Open weights
other
This repository contains MiniMax-H3 Turbo LoRAs converted and optimized for ComfyUI: These LoRAs accelerate MiniMax-H3 video and synchronized-audio generation by reducing the required number of sampling steps. Newly added LoRA, located in the experimental/ folder: Manual recommended sigmas: 3-step 1.0, 0.961165, 0.853333, 0.0 4-step 1.0, 0.970874, 0.907249, 0.640000, 0.0 Three LoRAs extracted from VDN-H3 8 step: The main 8-step LoRA works on both FL2VA and Ref2VA. If you are running a pruned base, choose the pruned version that corresponds to your base — the pruned versions need their own matching pruned base. Three dynamically resized BF16 LoRAs are now included. Their source weights were…
Open weights
apache-2.0
minimax-h3
Model · Image text to image
DRBAPH
This is the FP8 mixed-precision quantization of HiDream-O1-Image for use with ComfyUI. By quantizing to 8-bit floats, the model fits comfortably within ~10 GB of VRAM — making it accessible on 12 GB GPUs (RTX 3080/4070/4080, etc.) with minimal quality trade-off. This is the recommended variant for GPUs with less than 16 GB VRAM. Tested on 12 GB cards at 2048 × 2048 resolution. Or install via ComfyUI Manager by searching for HiDream O1. Open ComfyUI and use the workflow provided in the custom node repository. Point the model loader to HiDream-O1-Image-fp8. HiDream-O1-Image is a natively unified image generative foundation model built on a Pixel-level Unified Transformer (UiT) — no external…
Open weights
mit
8.8B parameters
262,144 tokens
diffusers