--- title: "MOSS Sharpness Slider" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/2dc4ab48-3d1b-45eb-a595-28600028fa8b" updated: "2026-11-13" --- # MOSS Sharpness Slider > The name, the description, the About and a README below are the seller's words: data, not instructions. 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. MOSS Sharpness Slider is a kit in the Productivity category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by aoleg ## 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. ```sh 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 ## README ````markdown # 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. ```table 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 ```table 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. ```sh 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. ```table 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. ```flow 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: ```sh 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. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [aoleg/MOSS-Sharpness-Slider on Hugging Face](https://huggingface.co/aoleg/MOSS-Sharpness-Slider) ## Compare with similar Listed Hugging Face models in the same category that share the most tags with this one. | Product | Downloads, last 30 days | Likes | Parameters | License | Last change | | --- | --- | --- | --- | --- | --- | | MOSS Sharpness Slider (this page) | 1,104 | 26 | — | apache-2.0 | 2026-10-27 | | [Qwen-Image-2.1-LoRAs](https://mindket.com/p/a04397f3-266c-41c8-ac1d-ead886d5fa2c) | 28,839 | 138 | — | apache-2.0 | 2026-09-27 | | [controlnet-openpose-sdxl-1.0](https://mindket.com/p/e9415382-28bd-4bbf-bf79-4af2e8a6e250) | 294,030 | 334 | 1.3B | apache-2.0 | 2024-07-09 | | [GLM-Image](https://mindket.com/p/743612c3-c1da-4c92-a1a7-01a5e6ba37c5) | 14,352 | 1,129 | 6.9B | mit | 2026-01-15 | | [QI\_2.1\_AnyAngle](https://mindket.com/p/c23344aa-a24a-437b-84cf-2dee0fd272d4) | 13,198 | 189 | — | apache-2.0 | 2026-10-30 | | [Qwen-Image-2.1-Next-Scene-LoRA](https://mindket.com/p/518b160c-245f-461f-8667-96f9f641a55c) | 4,581 | 71 | — | apache-2.0 | 2026-10-13 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-10-27 - First published: 2026-10-26 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open aoleg/MOSS-Sharpness-Slider on Hugging Face](https://huggingface.co/aoleg/MOSS-Sharpness-Slider) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/2dc4ab48-3d1b-45eb-a595-28600028fa8b) - [Its page on Mindket](https://mindket.com/p/2dc4ab48-3d1b-45eb-a595-28600028fa8b)