MOSS Sharpness Slider

MOSS Sharpness Slider

A slider-style LoRA for the MOSS-Image model where strength alone makes a picture sharper or softer, with no trigger word. For image makers who want to fix blur on MOSS Base.

Made by aoleg on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face.

About

What it is: MOSS Sharpness Slider is a LoRA for the MOSS-Image text-to-image model. Its strength setting alone moves a picture along a scale from soft to crisp. A positive value sharpens, a negative value blurs, and zero leaves the model untouched. It needs no trigger word and no change to your prompt.

Who it suits: Image makers who use MOSS-Image Base and want a simple dial for sharpness, mostly to fix blur.

Industry | Who uses it | How they use it | Example
Photography | Photo creators | Sharpen soft generations | A slightly blurry portrait made crisp
Design | Graphic designers | Add or remove blur on purpose | A soft background for a poster
Marketing | Content teams | Clean up product images | A sharper product render
Research | Image-model hobbyists | Study concept sliders | Compare strengths of 1.0 and negative 1.0

You can skip it if you run MOSS SFT with Turbo, where the card says the effect is almost none.

Where to use it:

• Tools that load a LoRA on MOSS-Image Base or SFT
• Python with the diffusers library
• Windows, macOS or Linux, with Python for the download step

Use case | Who | What they get back
Deblurring | Image makers | A sharper picture from MOSS Base
Intentional blur | Designers | A softer picture at negative strength
Sharpness tuning | Hobbyists | A dial between soft and crisp

How to set it up:

• Python and pip on your computer
• MOSS-Image Base, the checkpoint the LoRA is meant for
• A tool that loads LoRA files

1. Install the Hugging Face hub package.
2. Download the LoRA with the hf command.
3. Add it to MOSS-Image Base the way you add any other LoRA.

pip install -U huggingface_hub
hf download aoleg/MOSS-Sharpness-Slider

How to use it: Load it as a normal LoRA and set the strength. Start at 1.0 for a sharper result and at negative 1.0 for blur, then adjust. A strength of 0 gives you the plain model.

Strength | Effect
1.0 | Start here for a sharper picture
0 | The untouched model
negative 1.0 | Start here for a blurrier picture

Example: You generate a slightly soft image on MOSS Base, then reload it with the LoRA at strength 1.0 and the same prompt. The result shows crisper edges and finer detail.

For newcomers and experts: If you are new, run the same prompt and seed at 0, 1.0 and negative 1.0 and compare the three. Use MOSS Base, since the card says the effect fades on SFT and almost vanishes with Turbo.

If you know the field, this is a concept slider trained with Ostris AI Toolkit on 72 photos and their Gaussian-blurred copies, with rank 4 and alpha 4. The slider direction comes from a pair of prompts. Layer 22 is excluded because it is the skip-layer guidance block. It is the step 400 checkpoint.

Sharp and blurred photo pairs
Concept slider training on MOSS Base
LoRA file
Strength sets sharp or soft

Good to know:

• License: Apache 2.0
• Cost to run: your own GPU hardware, with no paid service named
• Data it reaches: the images you generate and the files you download
• Not for: MOSS SFT with Turbo, where the card says it does almost nothing
• Training: the card says 400 steps took under two hours on one consumer GPU

On Hugging Face, 13 November 2026

• Task: text to image
• Library: diffusers
• Downloads in the last 30 days: 1,104
• Likes: 26
• License: apache-2.0
• Based on: OpenMOSS-Team/MOSS-Image-Base
• Tags: diffusers, text-to-image, lora

Links

• Model: https://huggingface.co/aoleg/MOSS-Sharpness-Slider
• Files: https://huggingface.co/aoleg/MOSS-Sharpness-Slider/tree/main

Get the model

Download its files with Hugging Face's command line:

pip install -U huggingface_hub
hf download aoleg/MOSS-Sharpness-Slider

Then follow the usage in its model card. Nothing in this kit runs by itself.