We install and run the generators ourselves — from 3D models and video to sound effects. We write down how much VRAM each needs, what runs on CUDA and what works on Apple MPS and AMD ROCm, which is open source and which is a cloud subscription.
We read visitors’ search queries and write about them — ask right here.
“a clay teapot
with a faceted lid,
low-poly”
“rain on a tin roof,
distant thunder”The illustrations are AI-generated — examples of what the catalogued tools do, not their live output. Memory thresholds come from the fact sheets.
What runs locally
The whole tool database →Pick a type, a chip — CUDA, Apple MPS or AMD ROCm — and a VRAM ceiling. What remains are the models that actually start. Requirements are as described by the authors, with a source and check date for every value.
| Tool | Type | Runs | VRAM | Backends | Formats |
|---|---|---|---|---|---|
| LTX-Videoimage-to-video | Video | open source | from 1 GB * | Apple MPS | — |
| ChatTTStext-to-audio | Audio | open source | from 4 GB * | — | — |
| Zero123++ | 3D | open source | from 5 GB * | — | — |
| Stable Fast 3Dimage-to-3d | 3D | open source | from 6 GB * | CUDAApple MPS | glb |
| threestudio | 3D | open source | from 6 GB * | CUDA | obj |
| TripoSRimage-to-3d | 3D | open source | from 6 GB * | CUDA | — |
| MMAudio | Audio | open source | from 6 GB * | CUDA | — |
| FramePack | Video | open source | from 6 GB * | CUDA | — |
Showing the most accessible by VRAM threshold. Cloud services need no VRAM — they need a subscription: they are in their own list.
AI news — every day
The whole feed →
2026-09-03
DSAQuant proposes stage-aware quantization for video diffusion
The authors of an arXiv paper showed that conventional quantization-aware training degrades precisely the details and sharpness of video models, while preservin…
Fresh arXiv papers and model releases — briefly, with a note on what you can already run yourself.
From points to a model
This is how every 3D generator works: first a point cloud, then a surface, then materials. Click and we show it step by step. The page stays light when opened: the frames load only when you ask.
The frames load only now, not when the page opens. They are AI-generated illustrations — a real viewer will appear when our “3D from a picture” tool goes live.
Fresh generator reviews
LatestMost read
DSAQuant proposes stage-aware quantization for video diffusionThe authors of an arXiv paper showed that conventional quantization-aware training degrades precisely the details and sharpness of video models, while…
OctWorld presented as a generator of long consistent videos with octree-based 3D memoryOn arXiv, September 3, 2026, a paper on OctWorld was released — a framework for video generation based on diffusion with persistent 3D memory. From a…
VCAR: Training-Free 3DGS Segmentation via View Completeness and Axis-Aware Boundary RefinementThe authors of the paper VCAR: Training-Free 3DGS Segmentation via View Completeness and Axis-Aware Boundary Refinement propose a method for semantic…
H3-World: Interactive Image-to-Video Model Based on MiniMax-H3The model DANNY621/H3-World with the image-to-video task has been published on HuggingFace. The author describes it as the first interactive world mod…