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MOSS-Image API is coming soon in 24hrs
Join MOSS discord for FREE early access 👉 discord.gg/Wjku5AYyxx
Our AMA is live on r/LocalLLaMA! This might be @LocalLLaMAsub ’s biggest open-source model lineup yet. 👀
Speech, sound, music, images, video—we brought the whole MOSS model family!
🕗 LIVE NOW · Oct 30, 8–11 AM PT
We’ll keep answering for 48 hours afterward.
Pick a model. Bring your toughest question. ➡️ reddit.com/r/LocalLLaMA/s/jU…
Great to meet @ComfyUIWiki and @alexisrolland from @ComfyUI in person! 🤝
Looking forward to exploring more ways to build together. Stay tuned. 👀
Just 13 days after release, MOSS-Image has passed 3.1M downloads on Hugging Face's Comfy-Org repo. 🚀 @huggingface @ComfyUI
If you’re not sure about running MOSS-Image locally, bring your own prompts and give our free API a try ➡️ shorturl.at/auiQY
The biggest lineup of open models yet for a @LocalLLaMAsub AMA. 👀
Speech, sound, music, images, video—we're bringing the whole MOSS model family!!!
🗓 Oct 30 · 8–11 AM PT
Join r/LocalLLaMA and bring your questions ➡️ reddit.com/r/LocalLLaMA/s/Ut…
Great to meet @ComfyUIWiki and @alexisrolland from @ComfyUI in person! 🤝
Looking forward to exploring more ways to build together. Stay tuned. 👀
Upload your dataset and train a MOSS-Image-SFT LoRA on @ModelScope2022 .
Thanks to the ModelScope team for bringing MOSS-Image-SFT to their training platform!
Start training ➡️ modelscope.cn/aigc/model-tra…
8-step generation with the MOSS-Image-SFT Turbo LoRA. ⚡
Results are close to 50-step MOSS-Image-SFT inference in the shared examples. Trained using DiffSynth-Studio's OPD (On-Policy Distillation).
Try it ➡️ modelscope.cn/models/DiffSyn…
Faster MOSS-Image inference with EntroPack INT8 + DiffSynth-Studio pipeline compilation. ⚡
In the reported test: 974 → 507 ms/step.
Inference script ➡️ github.com/modelscope/DiffSy…
Local inference & training ➡️ diffsynth-studio-doc.readthe…
8-step generation with the MOSS-Image-SFT Turbo LoRA. ⚡
Results are close to 50-step MOSS-Image-SFT inference in the shared examples. Trained using DiffSynth-Studio's OPD (On-Policy Distillation).
Try it ➡️ modelscope.cn/models/DiffSyn…
Nearly 2× faster per inference step in the reported test, using EntroPack's INT8 backend + DiffSynth-Studio's pipeline compilation. ⚡
Inference script ➡️ github.com/modelscope/DiffSy…
Local inference & training docs ➡️ diffsynth-studio-doc.readthe…
MOSS-Image-SFT in just 4 steps. ⚡
@_akhaliq 's community distillation has reached 16.5K+ downloads on Hugging Face.
Thanks for building and sharing! Try it on your own prompts ↓
MOSS retweeted
MOSS Image dropped less than a week ago and it’s already at 1.29M downloads on Hugging Face.
If you have consumer hardware, this open source image model is for you + FREE workflow below
→ 5B params
→ int8 weights are only 5.4GB
→ Apache 2.0 license
→ seamless install via Comfy Desktop
The quality punches way above it's weight. Great work by @Open_MOSS.
What the ComfyUI community shipped in 5 days:
→ color + depth control adapter (darask0)
→ hires LoRA, native 4096×2304 gens (thee comfyanonymous)
→ LoRA training support all the major tools
→ Kromoss finetune, with a 8step DMD2 turbo LoRA (lodestones)
→ DSLR realism LoRA (Danrisi)
I built a workflow for the color-depth control adapter running in ComfyUI. Prompt adherence and detail is spot on (check the lens flare).
MOSS retweeted
MOSS image FAST AS HELL TURBO by @_akhaliq
50 steps → 4 steps ⚡
turbo feels like a sweet spot for generating lots of images fast
regular text posters still look pretty good too. tiny lettering gets a bit blurry, so i'd stick with the original SFT for text-heavy designs!
Base 50 steps 🆚 SFT 50 steps 🆚 4-step version side by side comparison👇
MOSS retweeted
MOSS-Image SFT and MOSS-Image 8-Step are now on Sogni, and both are included in Sogni Unlimited
It’s OpenMOSS’s 5-billion-parameter text-to-image model, made for text. Quote the words in your prompt and it writes them out exactly, from long instructions and terminal commands to full menus, in English and Chinese.
Every image in this thread was made with it 👇🧵






















