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Z-Image Turbo as the photo generator
Flux 2 Klein as the style transfer
Totally random prompt.
Control by concept slider loras on ZIT and the self train style transfer loras blend on Klein to get this specific style consistently. 80-120 sec for the real-stylize pair on RTX3060.
RYOUGI Ilakya retweeted
Finally! Rigged hair cards from a single image.
HairDeck (Tsinghua + CMU + CUHK) takes one character image and builds a stylized haircut as separate 3D hair cards, with bone chains already attached. The hair sways when the head turns.
Exports to GLB, or straight onto a VRM avatar.
Code and weights are open under Apache 2.0. You get geometry and UVs, no textures yet. Local run wants Linux and CUDA.
github.com/hyz317/HairDeck
RYOUGI Ilakya retweeted
Uma estudante de 16 anos criou um aparelho que apaga o fogo usando SOM, sem água ou produtos químicos. A invenção conquistou uma medalha de ouro na Indonésia.
Endwalker theme + Matoya's Cave theme = Y'stola theme
[#DDFF Livestream Latest Info #3]
"Tea on the way home? One would think we were students."
✦ ──── ☪︎ ⊰ ⋆ ⊱ ☪︎ ──── ✦
2026.10.27
Y'shtola Arrives!
✦ ──── ☪︎ ⊰ ⋆ ⊱ ☪︎ ──── ✦
youtu.be/EwrQy1PcPz0
#DISSIDIA #FF14
It's not an "if". This is the team behind the The 4 Heroes of Light released at the same time as FF13. Then it became Breavely Default, Octopath Traveller then this. The name wasn't FF but it's branches from FF to begin with. And evolved through the years. #finalfantasyresonance
I made this 6-7 years ago using some style transfer methods I was working on at the time. I spent months of tinkering to get this level of temporal consistency. We have come so far so fast. I cannot even imagine where things will be in another 6 years at this pace.
RYOUGI Ilakya retweeted
We’ve already been eating good with all the small/ fast models dropping lately, and... a new one.
8.56B MOSS-Image-Base- built for insane control.
uses JSON layouts and bounding boxes to place text, objects exactly where you want them.
+ native ComfyUI support
Open source is moving at crazy speeds right now.
huggingface.co/OpenMOSS-Team…
Meet MOSS-Image-Base: an 8.56B open-weight text-to-image foundation model built for more controllable generation.
🤖 modelscope.ai/collections/op…
🧩 More than natural-language prompts: Generate from descriptive prompts, tag sequences, or JSON layouts that specify text and object placement.
📝 Layout-aware images: Control captions, scene elements, and bounding boxes for posters, whiteboards, diagrams, and other structured visuals.
🔧 Built for customization: As the base checkpoint in the MOSS-Image family, it is designed for research, fine-tuning, and workflow-specific adaptation.
🖥️ Ready for local workflows: Includes Diffusers support, a Gradio interface, CPU offloading options, and a native ComfyUI plugin.
📜 Model weights and inference code are released under Apache 2.0.




































