HN · GitHub Signals

OPEN SOURCE, IN FOCUS

keys-tensorfold-studio-mac-dgxspark-64gb-vram-min

drowzeys/keys-tensorfold-studio-mac-dgxspark-64gb-vram-min

keys-TensorFold Studio (Mac+DGXSpark 64GB VRam Min): Qwen-Image-2.1-Turbo images and MiniMax H3 / FastH3 video with sound on TensorFold. Apple silicon (Metal) and NVIDIA DGX Spark (CUDA), one install command.

Explore on GitHub ↗

Saved projects stay in this browser. No account needed.

TAKE A CLOSER LOOK

Start with the source.

The repository is the place to check installation steps, supported platforms, the license, and current maintenance before choosing a tool.

Read the documentation on GitHub ↗

Keep exploring

Find projects in the same areas, or search the archive for a different approach.

ANOTHER GOOD FIND

Explore related projects

View the archive ↗

Connected by topics and descriptions.

academiasd

academiasd_loralab-trainerstudio

Train LoRAs for Qwen-Image 2.1, FLUX.2 Klein 9B, Krea 2, Z-Image, Ideogram 4, Anima, SDXL (Pony, Illustrious, NoobAI), LTX 2.3 and MiniMax-H3 on NVIDIA GPUs from 4–8 GB VRAM. One install, one launcher, NF4 models. Windows, Linux and RunPod.

Take a look →
iamwavecut

mlx-dlss

NVIDIA DLSS 5 neural rendering and DLSS frame generation on Apple Silicon (MLX/Metal, Core ML) and PyTorch; weights extracted from your own DLSS libraries

Take a look →
mrbizarro

phosphene

Run MiniMax Hailuo H3 and LTX-2.5 video generation locally on a Mac. Joint audio+video, character LoRA training, one-click Pinokio install. MLX — no CUDA, no cloud, no API key.

Take a look →