Local Ai
Moss vs Kromoss vs Krea 2, 192 images for each.
Hey! I'm constantly testing model using the same set of 192 prompts. https://preview.redd.it/y96g0pjxjoxh1.png?width=2946&format=png&auto=webp&s=faec4d3ae05edff6c544aa87a3b4535c97a14e20 Here is the di
Hey! I'm constantly testing model using the same set of 192 prompts. https://preview.redd.it/y96g0pjxjoxh1.png?width=2946&format=png&auto=webp&s=faec4d3ae05edff6c544aa87a3b4535c97a14e20 Here is the directly link to the gallery if you are curious and want to see all the images https://imagebench.ai/gallery?g=1_vzqsm6kuunuxj_s0 Here is more details about the models tested: MOSS-Image family (~5B transformer + Qwen3.5-9B text encoder, Apache-2.0) MOSS-Image SFT: 50 steps, CFG 3, skip-layer-22 negative branch, Euler, shift 5, seed 7. 158 s per image. https://huggingface.co/OpenMOSS-Team/MOSS-Image-SFT MOSS-Image Base: 50 steps, CFG 3, skip-layer-22 negative branch, Euler, shift 5, seed 7. 158 s per image. https://huggingface.co/OpenMOSS-Team/MOSS-Image-Base Kromoss (full): 50 steps, CFG 3, skip-layer-22 negative branch, Euler, shift 5, seed 7. 158 s per image. https://huggingface.co/lodestones/Kromoss Kromoss + DMD2 LoRA: 8 steps, CFG 1, LoRA applied unmerged, seed 7. 18.7 s per image. https://huggingface.co/lodestones/Kromoss (LoRA in the same repo) Kromoss + DMD LoRA: 8 steps, CFG 1, LoRA applied unmerged, seed 7. , 18.5 s per image. https://huggingface.co/lodestones/Kromoss (LoRA in the same repo) For comparison: Krea 2 Turbo (12B) Krea 2 Turbo: 8 steps, guidance 0, seed 7. 63.0% capability, 59.1 overall (#23), 73.2 s per image. https://huggingface.co/krea/Krea-2-Turbo Hope you'll enjoy this! I'm preparing a V2 with more/better prompts. submitted by /u/dh7net [link] [comments]
Source: r/StableDiffusion | 2026-10-25