Emaonly ((link)) -

Most users downloading models from repositories like Hugging Face or Civitai should reach for the emaonly version for several practical reasons:

: A running, weighted average of the model’s parameters over time. This acts as a smoothing mechanism that filters out "noise" from individual training steps, leading to more stable and higher-quality results. Why Choose "EMA-only"?

Traders typically stick to specific timeframes depending on their trading style: emaonly

When a model is trained, its weights (the internal numbers that determine how it creates an image) fluctuate as it learns from new data. To produce a more stable and reliable result, developers often maintain a running average of these weights. The "emaonly" version of a model contains only these averaged weights, stripped of the extra data used for ongoing training. Key Benefits of emaonly Checkpoints

Most popular interfaces, such as AUTOMATIC1111, ComfyUI, and InvokeAI, treat emaonly files just like any other .ckpt or .safetensors file. Most users downloading models from repositories like Hugging

joachim_s. Can someone explain like I'm five years old what the difference is between the pruned ema only and pruned 1.5 releases? Reddit Stable Diffusion 1.5 (normal and EMAonly) with vae - Kaggle Stable Diffusion 1.5 (normal and EMAonly) with vae * v1-5-pruned-emaonly. ckpt - 4.27GB, ema-only weight. uses less VRAM - suitabl... Kaggle stable-diffusion-v1-5-GGUF - ModelScope Use with GitHub Repository (now deprecated), ComfyUI or Automatic1111 * Download the weights. v1-5-pruned-emaonly.safetensors - em... Modelscope.cn [Bug]: Model Failed to load · Issue #9671 - GitHub Apr 16, 2023 —

There are two primary ways traders utilize an EMA-only strategy: Traders typically stick to specific timeframes depending on

: Locate the v1-5-pruned-emaonly.safetensors (or similar) file from an official source like Stable Diffusion v1.5 on Hugging Face.