---
license: other
pipeline_tag: text-to-video
tags:
- text-to-video
- image-to-video
- gguf
- quantized
- minimax-h3
- distilled
- turbo
- lightx2v
- clipproj
library_name: gguf
base_model:
- MiniMaxAI/MiniMax-H3
---
# MiniMax H3 Turbo Merge GGUF (8-step LoRA baked-in)
The MiniMax H3 **FL2VA (pruned)** DiT with the **LightX2V Turbo 8-step v1.0** LoRA **baked in**.
and
The MiniMax H3 **REF2VA (pruned)** DiT with the **LightX2V Turbo 4-step v1.0** LoRA **baked in**.
**Modes:** `img2video`, `txt2video`, FL2VA / T2VA / I2VA / REF2VA.
---
## Samples (4B vs 8B Text Encoder)
Both samples use the **same** turbo **Q4_K_M turbo GGUF** diffusion model, prompt, and settings, only the **text encoder** changes (4B vs 8B).
### 4B Text Encoder + ClipProj (8-steps)

- **(~2.3 min)** on an **RTX 5090 (32 GB)**.
## Components used to generate
| Component | File | ~Size | Download |
|---|---|---|---|
| Transformer | `minimax_h3_fl2va_turbo_Q4_K_M.gguf` | 11.4 GB | [Link](https://huggingface.co/ChrisColeTech/minimax-h3-turbo-GGUF/blob/main/split/diffusion_models/minimax_h3_fl2va_turbo_Q4_K_M.gguf) |
| **4B Text Encoder** | `qwen3vl_4b_fp8_scaled.safetensors` | 5.24 GB | [Link](https://huggingface.co/ChrisColeTech/minimax-h3-turbo-GGUF/blob/main/split/text_encoders/qwen3vl_4b_fp8_scaled.safetensors) |
| **4B Clip Proj** | `mmh3-4b-ClipProj-v3-mlp.safetensors` | 304 MB | [Link](https://huggingface.co/ChrisColeTech/minimax-h3-turbo-GGUF/blob/main/split/text_encoders/mmh3-4b-ClipProj-v3-mlp.safetensors) |
| Video VAE | `minimax_h3_video_vae_fp16.safetensors` | 5.21 GB| [Link](https://huggingface.co/ChrisColeTech/minimax-h3-turbo-GGUF/blob/main/split/vae/minimax_h3_video_vae_fp16.safetensors) |
| Audio VAE | `minimax_h3_audio_vae_fp32.safetensors` | 605 MB | [Link](https://huggingface.co/ChrisColeTech/minimax-h3-turbo-GGUF/blob/main/split/vae/minimax_h3_audio_vae_fp32.safetensors) |
### 8B Text Encoder + ClipProj (8-steps)

- **(~2.5 min)** on an **RTX 5090 (32 GB)**.
## Components used to generate
| Component | File | ~Size | Download |
|---|---|---|---|
| Transformer | `minimax_h3_fl2va_turbo_Q4_K_M.gguf` | 11.4 GB | [Link](https://huggingface.co/ChrisColeTech/minimax-h3-turbo-GGUF/blob/main/split/diffusion_models/minimax_h3_fl2va_turbo_Q4_K_M.gguf) |
| **8B Text Encoder** | `qwen3vl_8b_fp8_scaled.safetensors` | 10.6 GB | [Link](https://huggingface.co/ChrisColeTech/minimax-h3-turbo-GGUF/blob/main/split/text_encoders/qwen3vl_8b_fp8_scaled.safetensors) |
| **8B Clip Proj** | `mmh3-8b-ClipProj-v3-mlp.safetensors` | 386 MB | [Link](https://huggingface.co/ChrisColeTech/minimax-h3-turbo-GGUF/blob/main/split/text_encoders/mmh3-8b-ClipProj-v3-mlp.safetensors) |
| Video VAE | `minimax_h3_video_vae_fp16.safetensors` | 5.21 GB| [Link](https://huggingface.co/ChrisColeTech/minimax-h3-turbo-GGUF/blob/main/split/vae/minimax_h3_video_vae_fp16.safetensors) |
| Audio VAE | `minimax_h3_audio_vae_fp32.safetensors` | 605 MB | [Link](https://huggingface.co/ChrisColeTech/minimax-h3-turbo-GGUF/blob/main/split/vae/minimax_h3_audio_vae_fp32.safetensors) |
### Sample settings
| Parameter | Value |
|---|---|
| Prompt | `cinematic tracking shot of a red sports car on a wet night street, neon reflections, engine rumble and rain on asphalt, shallow depth of field` |
| Resolution | **1280 × 720** |
| Frames | **90 frames** → ~3.75 s |
| Steps | **8** |
| CFG | **1.0** |
| Seed | **42** |
---
## Image-to-Video (8-steps)
 |
|
Prompt: Use this image as the first frame. Make her fly. Full body shot. High quality |
Link to workflow [Link](https://huggingface.co/ChrisColeTech/minimax-h3-turbo-GGUF/resolve/main/workflow_example/minimax_h3_turbo_i2va.json)
## Components used to generate
| Component | File | ~Size | Download |
|---|---|---|---|
| Transformer | `minimax_h3_fl2va_turbo_Q4_K_M.gguf` | 11.4 GB | [Link](https://huggingface.co/ChrisColeTech/minimax-h3-turbo-GGUF/blob/main/split/diffusion_models/minimax_h3_fl2va_turbo_Q4_K_M.gguf) |
| **8B Text Encoder** | `qwen3vl_8b_fp8_scaled.safetensors` | 10.6 GB | [Link](https://huggingface.co/ChrisColeTech/minimax-h3-turbo-GGUF/blob/main/split/text_encoders/qwen3vl_8b_fp8_scaled.safetensors) |
| **8B Clip Proj** | `mmh3-8b-ClipProj-v3-mlp.safetensors` | 386 MB | [Link](https://huggingface.co/ChrisColeTech/minimax-h3-turbo-GGUF/blob/main/split/text_encoders/mmh3-8b-ClipProj-v3-mlp.safetensors) |
| Video VAE | `minimax_h3_video_vae_fp16.safetensors` | 5.21 GB| [Link](https://huggingface.co/ChrisColeTech/minimax-h3-turbo-GGUF/blob/main/split/vae/minimax_h3_video_vae_fp16.safetensors) |
| Audio VAE | `minimax_h3_audio_vae_fp32.safetensors` | 605 MB | [Link](https://huggingface.co/ChrisColeTech/minimax-h3-turbo-GGUF/blob/main/split/vae/minimax_h3_audio_vae_fp32.safetensors) |
---
## REF2VA works with up to 9 input images
## Components used to generate
| Component | File | ~Size | Download |
|---|---|---|---|
| Transformer | `minimax_h3_ref2va_turbo_Q4_K_M.gguf` | 11.4 GB | [Link](https://huggingface.co/ChrisColeTech/minimax-h3-turbo-GGUF/blob/main/split/diffusion_models/minimax_h3_ref2va_turbo_Q4_K_M.gguf) |
| **8B Text Encoder** | `qwen3vl_8b_fp8_scaled.safetensors` | 10.6 GB | [Link](https://huggingface.co/ChrisColeTech/minimax-h3-turbo-GGUF/blob/main/split/text_encoders/qwen3vl_8b_fp8_scaled.safetensors) |
| **8B Clip Proj** | `mmh3-8b-ClipProj-v3-mlp.safetensors` | 386 MB | [Link](https://huggingface.co/ChrisColeTech/minimax-h3-turbo-GGUF/blob/main/split/text_encoders/mmh3-8b-ClipProj-v3-mlp.safetensors) |
| Video VAE | `minimax_h3_video_vae_fp16.safetensors` | 5.21 GB| [Link](https://huggingface.co/ChrisColeTech/minimax-h3-turbo-GGUF/blob/main/split/vae/minimax_h3_video_vae_fp16.safetensors) |
| Audio VAE | `minimax_h3_audio_vae_fp32.safetensors` | 605 MB | [Link](https://huggingface.co/ChrisColeTech/minimax-h3-turbo-GGUF/blob/main/split/vae/minimax_h3_audio_vae_fp32.safetensors) |
---
## ⚠ Must use the updated GGUF Loader ⚠
In comfy:
- Open the ComfyUI Manager
- Change the channel to "Channel (remote)"
- and search for comfyui-gguf-loader

Use the turbo workflow [Link](https://huggingface.co/ChrisColeTech/minimax-h3-turbo-GGUF/blob/main/workflow_example/minimax_h3_turbo.json)

---
## Recommended settings (turbo 8-step)
| Parameter | Value | Notes |
|---|---|---|
| `width` × `height` | **1280 × 720** | 720P max resolution |
| `num_frames` | `124` | `481 max frames` |
| `frame_rate` | `24.0` | |
| `steps` / NFE | **`8`** | 8-steps minimum, 16 steps max |
| `guidance` / CFG | **`1.0`** | always use 1.0 for turbo variants |
| `negative_prompt` | _(empty in samples)_ | optional |
---
## Sources
| | |
|---|---|
| **Base DiT** | MiniMax H3 FL2VA pruned `fp8_scaled` — family of [MiniMaxAI/MiniMax-H3](https://huggingface.co/MiniMaxAI/MiniMax-H3) |
| **Turbo LoRA** | **LightX2V FL2VA Turbo 8-step v1.0 (ComfyUI)** — `minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors` |
| **Turbo weights** | [lightx2v/Minimax-h3-Turbo](https://huggingface.co/lightx2v/Minimax-h3-Turbo) |
| **Turbo docs / code** | [ModelTC/Minimax-H3-Turbo](https://github.com/ModelTC/Minimax-H3-Turbo) · [LightX2V](https://github.com/modeltc/lightx2v) |
| **Upstream 8-step specs** | FL2VA / T2VA · train 544p mixed AR · video/audio shifts **12 / 3** · distill **8 NFE** · recommended inference **8** (upstream also lists 4 for this LoRA) |
| **This bake** | Offline fuse @ strength **1.0** (208/208 keys) → stochastic re-FP8 → GGUF ladder |
| **Runtime LoRA** | **Not required** — already fused into these files |
---
## Notes
- **Known Limitations** [Here](https://github.com/nicolab28/ComfyUI-ClipProj#known-limitations)
- **ComfyUI + 4B/8B:** matching `mmh3-*-ClipProj-celeb-mlp` is REQUIRED for small TEs.
- **Audio is first-class** on H3 — sample mp4s include stereo AAC.
- **Frame grid:** `num_frames % 17 == 5` (90 and 124 are valid).
- **MiniMax H3** — custom / other terms; read upstream before commercial use.
- **LightX2V turbo LoRA** — see [lightx2v/Minimax-h3-Turbo](https://huggingface.co/lightx2v/Minimax-h3-Turbo) and [ModelTC/Minimax-H3-Turbo](https://github.com/ModelTC/Minimax-H3-Turbo).
- **Qwen3-VL** — Apache-2.0 (Alibaba).
- **ClipProj** — MIT code ([nicolab28/ComfyUI-ClipProj](https://github.com/nicolab28/ComfyUI-ClipProj)); matrices per NicoLab’s card.