8gb-vram

Local AI harness/workstation: local AI image editor, Ollama image generation routing, SDXL inpainting UI, CivitAI model imports, 8GB VRAM Stable Diffusion.

Local LLM + voice-cloning TTS sharing one 8 GB GPU, as a server for ESP32 voice boards. 本地 LLM + 声音克隆 TTS 共用一块 8 GB 显卡，给 ESP32 语音板子当服务端。怎么省显存、怎么轮流、怎么不断音，附完整实测。

MiniMax H3 8GB 显存本地视频/图像生成工作台:中文 Web 面板 + 实测基准 + 一键部署(ComfyUI 自定义节点)

Run a coding agent on an 8 GB consumer GPU. 3 qwen models optimized for best performance, wired into the pi harness.

Deploying personal-grade production models on a consumer-grade PC

Running Stable Diffusion Forge with uncensored community models on an 8GB VRAM laptop via WSL2.

Archive of every local LLM tested on one NVIDIA RTX 2080 8GB (TU104) on Linux — recipes, runtimes, quants, pinned sources, settings, context ceilings, and reproducible measurements. Failures included.

Drive a LOCAL ComfyUI from Claude Code / Cursor / any MCP harness - tuned for low-VRAM (8GB) rigs and heavy video models (MiniMax H3). Paste-ready MCP config (artokun/comfyui-mcp) + a pure-REST fallback skill. MIT.

8GB VRAM-ready real-time talking avatar skin for Codex Desktop on Windows.