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| | Note, this is not a “scientific test” but a best of 5 across both models. So in all 35 images for each so will give a general impression further down. Exciting that text-to-image is getting some love again. As others have discovered Wan is very good as a image model. So I was trying to get a style which is typically not easy. A type of “boring” TV drama still with a realistic look. I didn’t want to go all action movie like because being able to create more subtle images I find a lot more interesting. Images alternate between FLUX.1 Krea [dev] first (odd image numbers) then Wan2.2-T2V-14B(even image numbers) The prompts were longish natural language prompts 150 or so words. FLUX1. Krea was default settings except for lowering CFG from 3.5 to 2. 25 steps Wan2.2-T2V-14B was a basic t2v workflow using the Wan21_T2V_14B_lightx2v_cfg_step_distill_lora_rank32 lora at 0.6 stength to speed but that obviusly does have a visual impact (good or bad). General observations. The Flux model had a lot more errors, with wonky hands, odd anatomy etc. I’d say 4 out of 5 were very usable from Wan, but only 1 or less was for Flux. Flux also really didn’t like freckles for some reason. And gave a much more contrasty look which I didn’t ask for however the lighting in general was more accurate for Flux. Overall I think Wan’s images look a lot more natural in the facial expressions and body language. Be intersted to hear what you think. I know this isn’t exhaustive in the least but I found it interesting atleast. submitted by /u/legarth |
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