Chimera: Visual Generation Model Adopts LLM-Style Architecture for Single Scan
SonglinYang4 · x · 2026-08-02
Researchers introduced Chimera, a visual generation model family that brings LLM-style hybrid linear attention and scaling co-design to visual generation.
Key innovations include:
- mShortConv: A simple method to convey data dimensionality (text 1D, images 2D, video 3D) to the model, even after sequences are flattened.
- Combined with KDA, this enables a single scan and removes the need for NoPE.
Related event: Chimera Introduces LLM Architecture to Visual Generation(2 posts)→
More from Multimodal
- Valtz v0.1.0.11 adds FLUX.3 support, local image gen up to 4K on Mac — TgoAI · 2026-10-16
- H3 Character Swap LoRA V1.5 released with open ComfyUI workflow — linoy_tsaban · 2026-10-16
- ForcingBooster halves computation of autoregressive video diffusion with patch-wise denoising — VAST-AI · 2026-10-16
- Tokyo's Gemini AI Photo Booth turns visitors into plush toys and dioramas — bradneuberg · 2026-10-16
- AI face-swap of Seinfeld's George Costanza is uncannily convincing — alanskimp · 2026-10-16
- Orchestrating a 100-image portrait of humanity for aliens with ChatGPT, Argon and p5.brush — dx8xb · 2026-10-16