Open and extensible continuous delivery solution for Kubernetes. Powered by GitOps Toolkit.
A PyTorch-native inference engine with cache, parallelism, quantization and cpu offload for DiTs.
Weave GitOps is transitioning to a community driven project! It provides insights into your application deployments, and makes continuous delivery with GitOps easier to adopt and scale across your teams.
The open .char format for consistent characters. Face, body, wardrobe & voice in one file, consistent across every model.
Create high-fidelity Codex companions from 2+ photos with local open-weight neural editing and no OpenAI API key.
WeeLLM runs large diffusion models with as little as 4 GB of VRAM, without any quantization. It dynamically determines how many layers can fit within the available VRAM and streams the text encoder and transformer layers to the GPU layer by layer, enabling inference on hardware with limited VRAM. It supports both safetensors and GGUF models.
flux-2 API (flux2 / flux 2): 1MP $0.024; 2MP $0.036; 3MP $0.048. Model id, prompts settings, curl and Python examples over an OpenAI-compatible gateway, $1 minimum top-up.
flux-2 API (flux2 / flux 2): 1MP $0.024; 2MP $0.036; 3MP $0.048. Model id, gateway settings, curl and Python examples over an OpenAI-compatible gateway, $1 minimum top-up.
flux-2 API (flux2 / flux 2): 1MP $0.024; 2MP $0.036; 3MP $0.048. Model id, api settings, curl and Python examples over an OpenAI-compatible gateway, $1 minimum top-up.
Local text to textured GLB on an AMD Strix Halo iGPU (gfx1151): FLUX.2 klein, a Vulkan-only TRELLIS.2 engine, and humanoid auto-rigging with SkinTokens on ROCm. No Blender, no CUDA.