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ComfyUI-RH-daVinci-MagiHuman
RunningHubAI/ComfyUI-RH-daVinci-MagiHuman
ComfyUI-RH-daVinci-MagiHuman is a image-to-video model from RunningHubAI. Use it for the image-to-video task on the model card, and read the license before you ship it in a product. It is set up for comfyui. The card lists the license as apache-2.0.
[](https://www.runninghub.cn/?inviteCode=rh-v1367) [](https://www.runninghub.ai/?inviteCode=rh-v1367) [](./README.md)
Access
Public
Updated Aug 21, 2026
Repo size
61.2 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt61.2 GB · 100%
At a glance
- Task
- Image-to-Video
- Library
- comfyui
- License
- apache-2.0
- Access
- Public
- Created
- Aug 20, 2026
- Updated
- Aug 21, 2026
- SHA
- 539dedf4
Base models
Model card
From the Hugging Face model README
ComfyUI-RH-daVinci-MagiHuman INT8
INT8-quantised daVinci-MagiHuman DiT and super-resolution weights for
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 / ModelScope
Run Online and API Access
If you do not want to download and configure the full model assets locally, you can first try related MagiHuman workflows online on RunningHub, or integrate RunningHub AI app / workflow APIs into your own product.
- RunningHub
- RunningHub China
- RunningHub API
- RunningHub API Documentation
- RunningHub API Docs CN
- ComfyUI-RH-daVinci-MagiHuman Plugin
RunningHub is useful for quickly validating workflows such as reference-image-to-talking-head video, digital human video, and AI presenter / spokesperson video generation. You can first run and tune the workflow online, then choose local deployment if needed, or integrate similar capabilities into your product through RunningHub API.
Want to try it quickly? Open RunningHub to explore runnable AI workflows. Want to integrate digital human / talking-head video generation into your product? Start with the RunningHub API Documentation.
RunningHub API supports model APIs, AI app APIs, workflow APIs, and LLM APIs. For MagiHuman-style video generation workflows, the recommended task flow is:
Submit task -> get taskId -> check task status -> retrieve generated result
Recommended use cases:
- Run daVinci-MagiHuman / MagiHuman talking-head video generation workflows online
- Add reference-image-to-video, digital human presenter, and AI video generation capabilities to your product
- Provide creators, developers, and teams with no-local-setup generative AI workflows
- Build automated video generation, content production, or multimodal applications with RunningHub API
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
ComfyUI/models/MagiHuman/
├── base_int8.pt
├── distill_int8.pt
├── sr_540p_sr_int8.pt # optional
└── sr_1080p_sr_int8.pt # optional
Hugging Face
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
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:
# 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:
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
| 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) ordistill(8 steps)vram_mode:mid_vram(~16 GB) orlow_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 license of daVinci-MagiHuman.
Links
- Task
- Image-to-Video
- Library
- comfyui
- License
- apache-2.0
- Languages
- en, zh, ja, ko, de, fr
- Created
- Aug 20, 2026
- Updated
- Aug 21, 2026