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sd35

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WeeLLM

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.

  • Updated Nov 7, 2026
  • Python

SuperklokStyleLoRAv2 is the newest version of the open-source commercial benchmarking style model that captures the Superklok art style's retro tech aesthetic. Trained natively on SD 3.5 Large to flawlessly apply ultra-saturated, neon-green circuit board textures, authentic analog CRT monitor scanlines, and high-fidelity branding onto your imagery!

  • Updated Oct 26, 2026
  • Python

SuperklokStyleLoRA is the ultimate open-source commercial benchmarking style model that captures the Superklok art style's retro tech aesthetic. Trained natively on Stable Diffusion 3.5 Large to flawlessly apply ultra-saturated, neon-green circuit board textures, authentic analog CRT monitor scanlines, and high-fidelity branding onto your imagery!

  • Updated Oct 26, 2026
  • Python

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