HyperFlow H3 Flash

Video Rebirth's compressed, few-step version of MiniMax-H3 (14B). Generates video and synchronized stereo audio together in 4–8 steps, no CFG.

14B params 6-step default 5.2–15 s @ 24 fps 1344×768 32 kHz stereo GGUF 7.2–15.2 GB INT8 convrot ~16 GB

Example clips

Real-time generation — 768p in real time on 4× B200.
Full quality — six-step int8 checkpoint output.
Consumer GPU — same checkpoint on consumer hardware.

Source: official Video Rebirth showcase. Clips include H3-generated stereo audio — unmute to listen.

Generate free — no local GPU

HyperFlow H3 Flash has no hosted API yet, and no free tier can run its 14B weights (needs 24 GB+ VRAM plus a 15.7 GB text encoder). The practical free route is the MiniMax H3 family on hosted platforms. All of these run in the cloud — only a browser is required.

FREE · 5/day

fal.ai — H3 Max

5 generations per day, up to 15 s each, 768p, native stereo audio. H3 Max is the flagship quality model (Design Arena image-to-video #1, Elo 1341) — higher quality than HyperFlow Flash. Free quota is sandbox-only.

Generate free on fal.ai
FREE · 50 credits/day

Google Flow — Veo 3.1 Fast

About 2 clips/day at 20 credits per generation. Audio included. Daily credits reset automatically.

Open Google Flow
FREE · 30 credits/day

PixVerse

About 2–3 short clips/day. No native stereo audio like H3.

Open PixVerse
Why not free Colab? Free Colab gives a T4 with 16 GB VRAM and ~12 GB RAM. The GGUF Q4_K_M transformer alone is 9.1 GB, and the required text encoder is 15.7 GB — the model does not fit. HyperFlow H3 Flash needs 24 GB+ VRAM and 16 GB+ system RAM (GGUF), or 69+ GiB RAM for the INT8 Python path.

Stacking the free tiers above gives roughly 9–10 free clips per day across platforms. Want HyperFlow H3 Flash specifically on an API? Vote for provider support.

Run the open weights yourself

GGUF via ComfyUI

Recommended default: Q4_K_M (9.1 GB). Needs the 15.7 GB qwen3vl_32b_minimax_h3_nvfp4_awq text encoder plus video/audio VAEs from Comfy-Org/MiniMax-H3.

# 1. clone custom nodes
git clone https://github.com/city96/ComfyUI-GGUF \
  ComfyUI/custom_nodes/ComfyUI-GGUF
git clone https://github.com/Video-Rebirth/ComfyUI-HyperFlow-Flash \
  ComfyUI/custom_nodes/ComfyUI-HyperFlow-Flash

# 2. put the .gguf in models/diffusion_models/
# 3. Workflow > Browse Templates > ComfyUI-HyperFlow-Flash
#    templates: hyperflow_t2v, hyperflow_i2v,
#               hyperflow_flf2v, hyperflow_ref2v

Python INT8 convrot

Full multimodal references (images, videos, audio). First run downloads ~90 GB (~68 GB with fp8 text encoder).

pip install git+https://github.com/Video-Rebirth/hyperflow-h3-flash

hyperflow-h3-flash \
  --prompt "A chef slides a steaming bowl of ramen; rain taps on the window." \
  --steps 6 --output ramen.mp4

# keyframes:  --image first.png --last-image last.png
# references: --reference person.png --reference scene.png

stable-diffusion.cpp (GGUF CLI)

sd-cli -M vid_gen \
  --diffusion-model minimax_h3_fl2va_hyperflow_flash_14b-Q4_K_M.gguf \
  --llm qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors \
  --vae minimax_h3_video_vae_fp16.safetensors \
  --audio-vae minimax_h3_audio_vae_fp32.safetensors \
  --sampling-method euler --cfg-scale 1.0 --steps 6 \
  -W 1344 -H 768 --video-frames 124 --fps 24 -s 42 \
  -p "A chef slides a steaming bowl of ramen; rain taps on the window." \
  -o output.webm

Requires the hyperflow-two-time.patch on upstream commit 3be2378. Add --offload-to-cpu on smaller GPUs.

Download Colab notebook (Pro A100)

Tasks & prompting

TaskInputNotes
t2vaText promptText → video + audio
fl2vaPrompt + first keyframe (± last)Image → video + audio
ref2vaPrompt + up to 12 references9 images, 3 videos, 3 audio (GGUF: images only)

Describe subject, action, setting, camera movement, and sound in one prompt. No negative prompt (CFG = 1.0). For ref2va, cite inputs in order as <Picture 1>, <Video 1>, <Audio 1>. Steps: 4 (speed) · 6 (default) · 8 (quality).

License — MiniMax H3 Community License Agreement. Licensed worldwide excluding the EU, UK, South Korea, and the US without prior MiniMax authorization. Publicly distributed outputs must be clearly disclosed as AI-generated. Commercial products over $20M USD annual revenue require written authorization and must display "MiniMax H3". Outputs may not be used to train other models. Full license · NOTICE