--- title: ComfyUI-RH-daVinci-MagiHuman canonical_url: "https://www.modelscope.cn/models/Gluttony10/ComfyUI-RH-daVinci-MagiHuman" md_url: "https://www.modelscope.cn/models/Gluttony10/ComfyUI-RH-daVinci-MagiHuman.md" repository: Gluttony10/ComfyUI-RH-daVinci-MagiHuman chinese_name: "daVinci-MagiHuman INT8" last_updated: 2026-08-19 license: apache-2.0 pipeline_tag: image-to-video tasks: - image-to-video base_model: - GAIR/daVinci-MagiHuman base_model_relation: finetune language: - en - zh - ja - ko - de - fr - yue downloads: 0 stars: 0 tags: - comfyui - image-to-video - image-text-to-audio-video - multimodal - int8 --- # ComfyUI-RH-daVinci-MagiHuman > ComfyUI-RH-daVinci-MagiHuman - Gluttony10 在 ModelScope 开源的模型。INT8-quantised daVinci-MagiHuman DiT and SR weights for ComfyUI-RH-daVinci-MagiHuman Gluttony10/ComfyUI-RH-daVinci-MagiHuman 是 ModelScope 魔搭社区上的image-to-video模型，采用 apache-2.0 许可，基于 GAIR/daVinci-MagiHuman 构建。 - **Repository**: Gluttony10/ComfyUI-RH-daVinci-MagiHuman - **License**: apache-2.0 - **Tasks**: image-to-video - **Base model**: GAIR/daVinci-MagiHuman - **Tags**: comfyui, image-to-video, image-text-to-audio-video, multimodal, int8 - **Downloads**: 0 - **Stars**: 0 - **Last updated**: 2026-08-19 Source: https://www.modelscope.cn/models/Gluttony10/ComfyUI-RH-daVinci-MagiHuman --- # ComfyUI-RH-daVinci-MagiHuman INT8 [![RunningHub China](https://img.shields.io/badge/RunningHub-China-2F80ED)](https://www.runninghub.cn/?inviteCode=rh-v1367) [![RunningHub International](https://img.shields.io/badge/RunningHub-International-7B61FF)](https://www.runninghub.ai/?inviteCode=rh-v1367) [![English](https://img.shields.io/badge/Language-English-2563EB)](./README.md) [![简体中文](https://img.shields.io/badge/Language-%E7%AE%80%E4%BD%93%E4%B8%AD%E6%96%87-EF4444)](./README_CN.md) INT8-quantised daVinci-MagiHuman DiT and super-resolution weights for [ComfyUI-RH-daVinci-MagiHuman](https://github.com/RH-RunningHub/ComfyUI-RH-daVinci-MagiHuman). This repository contains only the four converted `.pt` files. TurboVAE, the T5 text encoder, and the video/audio VAEs still come from the official releases. The ComfyUI nodes load these INT8 files directly. Official BF16 DiT shards and official `540p_sr/` / `1080p_sr/` config directories are not required. Full snapshot is about **57 GiB**. Download only the files you need. Mirror: [Hugging Face](https://huggingface.co/Gluttony10/ComfyUI-RH-daVinci-MagiHuman) / [ModelScope](https://www.modelscope.cn/models/Gluttony10/ComfyUI-RH-daVinci-MagiHuman) ## Contents | File | Size | Role | |---|---:|---| | `base_int8.pt` | 14.25 GiB | INT8 Base DiT (32 steps, higher quality) | | `distill_int8.pt` | 14.25 GiB | INT8 Distill DiT (8 steps, faster) | | `sr_540p_sr_int8.pt` | 14.25 GiB | Optional INT8 540p super-resolution | | `sr_1080p_sr_int8.pt` | 14.25 GiB | Optional INT8 1080p super-resolution | You need **one** of `base_int8.pt` / `distill_int8.pt`. Add an SR file only when the loader's `sr_model` is `540p_sr` or `1080p_sr`. ## Install into ComfyUI ```text ComfyUI/models/MagiHuman/ ├── base_int8.pt ├── distill_int8.pt ├── sr_540p_sr_int8.pt # optional └── sr_1080p_sr_int8.pt # optional ``` ### Hugging Face ```bash cd /path/to/ComfyUI python3 -m pip install -U huggingface_hub hf download Gluttony10/ComfyUI-RH-daVinci-MagiHuman base_int8.pt \ --local-dir ./models/MagiHuman hf download Gluttony10/ComfyUI-RH-daVinci-MagiHuman distill_int8.pt \ --local-dir ./models/MagiHuman hf download Gluttony10/ComfyUI-RH-daVinci-MagiHuman sr_540p_sr_int8.pt \ --local-dir ./models/MagiHuman hf download Gluttony10/ComfyUI-RH-daVinci-MagiHuman sr_1080p_sr_int8.pt \ --local-dir ./models/MagiHuman ``` ### ModelScope ```bash pip install modelscope cd /path/to/ComfyUI modelscope download --model Gluttony10/ComfyUI-RH-daVinci-MagiHuman base_int8.pt \ --local_dir ./models/MagiHuman modelscope download --model Gluttony10/ComfyUI-RH-daVinci-MagiHuman distill_int8.pt \ --local_dir ./models/MagiHuman modelscope download --model Gluttony10/ComfyUI-RH-daVinci-MagiHuman sr_540p_sr_int8.pt \ --local_dir ./models/MagiHuman modelscope download --model Gluttony10/ComfyUI-RH-daVinci-MagiHuman sr_1080p_sr_int8.pt \ --local_dir ./models/MagiHuman ``` ## Other required assets These files are **not** in this repository: ```bash # Official MagiHuman assets (TurboVAE, T5 text encoder) hf download GAIR/daVinci-MagiHuman --local-dir ./models/MagiHuman pip install modelscope modelscope download --model GAIR/daVinci-MagiHuman --local_dir ./models/MagiHuman # External VAEs hf download stabilityai/stable-audio-open-1.0 \ --local-dir ./models/audio_checkpoints/stable-audio-open-1.0 hf download Wan-AI/Wan2.2-TI2V-5B \ --local-dir ./models/Ovi/Wan2.2-TI2V-5B ``` Expected layout after everything is in place: ```text ComfyUI/models/ ├── MagiHuman/ │ ├── base_int8.pt │ ├── distill_int8.pt │ ├── sr_540p_sr_int8.pt │ ├── sr_1080p_sr_int8.pt │ ├── t5gemma-9b-9b-ul2/ │ └── turbo_vae/ ├── audio_checkpoints/stable-audio-open-1.0/ └── Ovi/Wan2.2-TI2V-5B/ ``` ## Plugin Current plugin: [RH-RunningHub/ComfyUI-RH-daVinci-MagiHuman](https://github.com/RH-RunningHub/ComfyUI-RH-daVinci-MagiHuman) | Node | Purpose | |---|---| | `RH MagiHuman Model Loader` (`RH_MagiHumanModelLoader`) | Load INT8 DiT, VAEs, and optional SR | | `RH MagiHuman Generate` (`RH_MagiHumanGenerate`) | Talking-head video from a reference image and text prompt | Loader options: - `model_type`: `base` (32 steps) or `distill` (8 steps) - `vram_mode`: `mid_vram` (~16 GB) or `low_vram` (~6.5 GB) - `sr_model`: `none` / `540p_sr` / `1080p_sr` `mid_vram` + 540p SR needs about 24 GB. `mid_vram` + 1080p SR needs about 48 GB. ## License Converted weights follow the upstream [Apache-2.0](https://opensource.org/licenses/Apache-2.0) license of [daVinci-MagiHuman](https://huggingface.co/GAIR/daVinci-MagiHuman). ## Links [![RunningHub China](https://img.shields.io/badge/RunningHub-China-2F80ED)](https://www.runninghub.cn/?inviteCode=rh-v1367) [![RunningHub International](https://img.shields.io/badge/RunningHub-International-7B61FF)](https://www.runninghub.ai/?inviteCode=rh-v1367) - [Official daVinci-MagiHuman](https://github.com/GAIR-NLP/daVinci-MagiHuman) - [Official weights](https://huggingface.co/GAIR/daVinci-MagiHuman) - [Official assets on ModelScope](https://www.modelscope.cn/models/GAIR/daVinci-MagiHuman) - [ComfyUI-RH-daVinci-MagiHuman](https://github.com/RH-RunningHub/ComfyUI-RH-daVinci-MagiHuman)