Mochi 1
Genmo's 10-B open-weight T2V — the first 'genuinely fluid' OSS video model.
Open Source 24–60 GB VRAM
- Min VRAM
- 24 GB
- GPU class
- Workstation GPU
- Quant
- BF16
Actually FreeNo SignupOpen SourceWatermark-Free
Pyramid Flow
Memory-efficient T2V via pyramidal flow matching.
Open Source 16–24 GB VRAMRuns locally
Actually FreeNo SignupOpen SourceWatermark-Free
Visit Pyramid FlowUpdated 2026-02-20 · Direct link
Hardware requirements
Runs locally · High-end GPU (16–24 GB)
Min VRAM
16 GB
Rec. VRAM
24 GB
Min RAM
32 GB
Rec. RAM
64 GB
Disk
30 GB
GPU class
High-end GPU
12.1+No Apple SiliconGPU RequiredQuant: BF16, FP8
384p variant runs in 16 GB; 768p needs 24 GB.
Screenshot placeholder · Pyramid Flow
What is Pyramid Flow?
Pyramid Flow uses a multi-resolution pyramid + flow matching to generate 10-second 768p clips on a single 24 GB GPU — territory that previously required datacenter hardware. Quality is below Mochi / Wan but the VRAM efficiency is genuinely novel. MIT licensed.
Pros & cons
Pros
- 10-second 768p clips on a single 24 GB card
- Pyramidal training is a genuinely interesting architecture
- MIT — most permissive video model license available
Cons
- Motion / detail quality below Mochi & Wan
- Smaller community than Hunyuan / Wan workflows
What's actually free?
MIT.
✓ Actually FreeNo SignupOpen SourceWatermark-Free
Alternatives
CogVideoX 5B
Open-source text-to-video diffusion from THUDM.
Open Source 12–24 GB VRAM
- Min VRAM
- 12 GB
- GPU class
- High-end GPU
- Quant
- FP16
Actually FreeNo SignupOpen SourceWatermark-Free
Wan 2.2
Open-weight video diffusion from Alibaba.
Open Source 12–48 GB VRAM
- Min VRAM
- 12 GB
- GPU class
- Workstation GPU
- Quant
- FP16
Actually FreeNo SignupOpen SourceWatermark-Free