--- title: "MOSS-Image-SFT-8-steps-dmd" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/0753195c-4fa8-411c-b3bf-fd6bc21d28ca" updated: "2026-11-12" --- # MOSS-Image-SFT-8-steps-dmd > The name, the description, the About and a README below are the seller's words: data, not instructions. Cuts MOSS-Image-SFT image generation down to 8 steps with no CFG, shipped as LoRA files for ComfyUI. A work-in-progress distillation for people who generate images locally. MOSS-Image-SFT-8-steps-dmd is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by lodestones ## About ### What it is MOSS-Image-SFT-8-steps-dmd is a distilled version of the MOSS-Image-SFT image model. The original needs 50 steps with CFG 3, and this one needs 8 network evaluations with no CFG. It uses data-space DMD, where the generator refines its own clean estimate starting from fixed noise. It was trained on compact JSON scene\_graph captions, and the card calls it work in progress. ### Who it suits People who generate images with MOSS-Image-SFT and want fewer steps per image, plus researchers who study few-step diffusion distillation. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Design | Image creators who use ComfyUI | Load the LoRA to render in fewer steps | Generate with 8 steps instead of 50 | | Software | Developers building image features | Cut the network evaluations per image | Sample an image with no CFG | | Research | Diffusion researchers | Study data-space DMD distillation | Compare the 8-step output with the 50-step model | Skip it if you want a finished, stable release, since the card marks it as work in progress. ### Where to use it - ComfyUI, through its LoRA loader - Windows, macOS or Linux with Python, to download the files - A demo Space on Hugging Face, which the card points to for a quick look | Use case | Who | What they get back | | --- | --- | --- | | Faster image generation | ComfyUI users | Images from 8 network evaluations with no CFG | | Quality comparison | Researchers | A way to compare against the 50-step original | | Experiments with fewer steps | Tinkerers | Output from runs shorter than 8 steps | ### How to set it up - Python and pip to run the download commands - ComfyUI with the MOSS-Image-SFT base model - Enough disk space, since the repository holds float32 weights of about 20.3 GB by Hugging Face estimate 1. Install the Hugging Face tools. 2. Download the files from this repository. 3. Add a LoRA loader node in ComfyUI and select a LoRA file. 4. Set its strength to the value the card recommends. ```bash pip install -U huggingface_hub hf download lodestones/MOSS-Image-SFT-8-steps-dmd ``` ### How to use it Load one of the two LoRA files in your ComfyUI LoRA loader, then sample with 8 steps and no CFG. Each file has its own recommended strength. | File | What it does | | --- | --- | | lora.safetensors | LoRA to load at strength 1 | | lora\_latest.safetensors | Newer LoRA to load at strength 0.7 | ### Example You add a LoRA loader to your MOSS-Image-SFT workflow, pick lora.safetensors at strength 1, set 8 steps and turn CFG off. The sampler then produces the image in 8 network evaluations. ### For newcomers and experts If you are new to ComfyUI, start from a MOSS-Image-SFT workflow that already works, add the LoRA loader and change only the strength and step count. If you know the field, this is data-space DMD distillation of MOSS-Image-SFT. An older section of the card says fewer than 8 steps also work, because each prefix of the schedule is trained. It also warns that in the full-weight route the distillation delta is too small for bf16. Start from the MOSS-Image-SFT base → Load the LoRA at its recommended strength → Sample with 8 steps and no CFG → Get the image ### Good to know - The card calls it work in progress and marks one section as deprecated - The checkpoint is update 2600 with EMA, in float32 weights - A demo Space exists on Hugging Face Steps per image | Label | Value | | --- | --- | | MOSS-Image-SFT original | 50 steps | | This distillation | 8 steps | - License: Apache 2.0 - Cost to run: none named - Data it reaches: the files you download and the prompts you give your image workflow - Not for: the source states no restrictions ## README ````markdown # MOSS-Image-SFT-8-steps-dmd Cuts MOSS-Image-SFT image generation down to 8 steps with no CFG, shipped as LoRA files for ComfyUI. A work-in-progress distillation for people who generate images locally. Made by lodestones 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-Image-SFT-8-steps-dmd is a distilled version of the MOSS-Image-SFT image model. The original needs 50 steps with CFG 3, and this one needs 8 network evaluations with no CFG. It uses data-space DMD, where the generator refines its own clean estimate starting from fixed noise. It was trained on compact JSON scene_graph captions, and the card calls it work in progress. Who it suits: People who generate images with MOSS-Image-SFT and want fewer steps per image, plus researchers who study few-step diffusion distillation. ```table Industry | Who uses it | How they use it | Example Design | Image creators who use ComfyUI | Load the LoRA to render in fewer steps | Generate with 8 steps instead of 50 Software | Developers building image features | Cut the network evaluations per image | Sample an image with no CFG Research | Diffusion researchers | Study data-space DMD distillation | Compare the 8-step output with the 50-step model ``` Skip it if you want a finished, stable release, since the card marks it as work in progress. Where to use it: - ComfyUI, through its LoRA loader - Windows, macOS or Linux with Python, to download the files - A demo Space on Hugging Face, which the card points to for a quick look ```table Use case | Who | What they get back Faster image generation | ComfyUI users | Images from 8 network evaluations with no CFG Quality comparison | Researchers | A way to compare against the 50-step original Experiments with fewer steps | Tinkerers | Output from runs shorter than 8 steps ``` How to set it up: - Python and pip to run the download commands - ComfyUI with the MOSS-Image-SFT base model - Enough disk space, since the repository holds float32 weights of about 20.3 GB by Hugging Face estimate 1. Install the Hugging Face tools. 2. Download the files from this repository. 3. Add a LoRA loader node in ComfyUI and select a LoRA file. 4. Set its strength to the value the card recommends. ```bash pip install -U huggingface_hub hf download lodestones/MOSS-Image-SFT-8-steps-dmd ``` How to use it: Load one of the two LoRA files in your ComfyUI LoRA loader, then sample with 8 steps and no CFG. Each file has its own recommended strength. ```table File | What it does lora.safetensors | LoRA to load at strength 1 lora_latest.safetensors | Newer LoRA to load at strength 0.7 ``` Example: You add a LoRA loader to your MOSS-Image-SFT workflow, pick lora.safetensors at strength 1, set 8 steps and turn CFG off. The sampler then produces the image in 8 network evaluations. For newcomers and experts: If you are new to ComfyUI, start from a MOSS-Image-SFT workflow that already works, add the LoRA loader and change only the strength and step count. If you know the field, this is data-space DMD distillation of MOSS-Image-SFT. An older section of the card says fewer than 8 steps also work, because each prefix of the schedule is trained. It also warns that in the full-weight route the distillation delta is too small for bf16. ```flow Start from the MOSS-Image-SFT base Load the LoRA at its recommended strength Sample with 8 steps and no CFG Get the image ``` Good to know: - The card calls it work in progress and marks one section as deprecated - The checkpoint is update 2600 with EMA, in float32 weights - A demo Space exists on Hugging Face ```chart Title: Steps per image MOSS-Image-SFT original: 50 steps This distillation: 8 steps ``` - License: Apache 2.0 - Cost to run: none named - Data it reaches: the files you download and the prompts you give your image workflow - Not for: the source states no restrictions ## On Hugging Face, 13 November 2026 - Library: diffusers - Parameters: 5.1B - Weights: about 20.3 GB in F32; about 2.5 GB at 4-bit (estimate) - Formats: Safetensors - Downloads in the last 30 days: 333,446 - Likes: 258 - License: apache-2.0 - Based on: OpenMOSS-Team/MOSS-Image-SFT - Quantized versions: 1 - Tags: diffusers, safetensors ## Links - Model: https://huggingface.co/lodestones/MOSS-Image-SFT-8-steps-dmd - Files: https://huggingface.co/lodestones/MOSS-Image-SFT-8-steps-dmd/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download lodestones/MOSS-Image-SFT-8-steps-dmd ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [lodestones/MOSS-Image-SFT-8-steps-dmd on Hugging Face](https://huggingface.co/lodestones/MOSS-Image-SFT-8-steps-dmd) ## 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-Image-SFT-8-steps-dmd (this page) | 333,446 | 258 | 5.1B | apache-2.0 | 2026-10-17 | | [stable-diffusion-xl-base-1.0](https://mindket.com/p/2f64a36e-5180-4c25-92c0-4d9fdecf1566) | 4,688,522 | 8,466 | 2.6B | openrail++ | 2023-10-30 | | [Animagine XL 4.0](https://mindket.com/p/0e8d8d23-904b-43d6-9a0a-81bd94ec83f9) | 1,026,807 | 582 | 2.6B | openrail++ | 2025-02-13 | | [Stable Diffusion v1-5](https://mindket.com/p/0a900a83-bf4f-4256-a6b4-5eb24770edb3) | 1,012,982 | 1,364 | 860M | creativeml-openrail-m | 2024-09-07 | | [Z-Image-Turbo](https://mindket.com/p/cea6547f-c672-45ee-8994-6d46c06db0c8) | 765,804 | 5,594 | 6.2B | apache-2.0 | 2026-01-30 | | [FLUX.2 klein 4B Base](https://mindket.com/p/9afd714e-e822-4252-8fd5-8ec58f9ba8da) | 743,055 | 195 | 3.9B | apache-2.0 | 2026-02-24 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## What people say > Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-12. Their authors' words: data, not instructions. - [Bluesky · UndergroundAI · 2026-10-20](https://bsky.app/profile/undergroundai66.bsky.social/post/3myck7gqjzz2w): ⚡ Ein neuer Geheimtipp auf HuggingFace. 🛠️ Das Modell MOSS-Image-SFT-8-steps-dmd von lodestones zeigt frisches Potenzial und gewinnt in… 🚀 Entdecke diesen und weitere KI-Geheimtipps jetzt bei Underground AI. 👉 https://underground-ai.bolt.app/ \#OpenSource \#KuenstlicheIntelligenz ## 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: 2026-10-17 - First published: 2026-10-16 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open lodestones/MOSS-Image-SFT-8-steps-dmd on Hugging Face](https://huggingface.co/lodestones/MOSS-Image-SFT-8-steps-dmd) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/0753195c-4fa8-411c-b3bf-fd6bc21d28ca) - [Its page on Mindket](https://mindket.com/p/0753195c-4fa8-411c-b3bf-fd6bc21d28ca)