2026-10-16 · America/Los_Angeles · 社区动态 · #19

MOSS-Image (5B, Apache 2.0) on a 12 GB RTX 3060: INT8 quant + lodestones' 8-step DMD turbo in ComfyUI - 35 hard prompts, one seed, no cherry-picking

Tested the new MOSS-Image (5B single-stream DiT, Qwen3.5-9B text encoder, FLUX.2 VAE, Apache 2.0) on a plain RTX 3060 12 GB / 16 GB RAM with 35 deliberately hard prompts: dense on-image text in English/Chinese/Japanese, accents, exact counts, attribute binding, spatial relations, negation, hands, clocks, very long prompts, and MOSS's Layout JSON. One seed (42), first result, no cherry-picking, failures included. The first image is a contact sheet of all 35. Setup Model: u/XCEED123 's INT8 ConvRot quant (HF), ~15 GB total, with the official ComfyUI node (comfyui/moss-image from the GitHub…

热度 44.4 / 100；排名与评分保留该期记录。