Lenovo UltraReal

--Krea2Actually i tested with different combinations raw and turbo. For best quality i use raw with cfg4, for fast result i use raw, but witth cfg1 and turbo lora (it really gives better quality then kreo2 turbo model). U can use with other loras freely, also works good with nicegirls lora and nsfw loras. recommended weight 0.8 for raw and 1.2-2 for turbo--Ideogram4Works good with realism engine lora for nsfw images.Also updated my repo for better lora control https://github.com/DanrisiUA/ComfyUI-LoRA-Block-FilterOne more. Made cool nodes with cursor (i have no clue how some of them to use) for ideogram https://github.com/DanrisiUA/ComfyUI-Ideogram4-Enhanced.git--Anima1.0Trained on top of my last ultrareal_finetune_base1 checkpoint for a slight realism boost. I also "vibecoded" a few experimental nodes for Anima (pretty sure something similar already exists, but here we are): https://github.com/DanrisiUA/ComfyUI-AnimaDynamicCFGConsider this a temporary realism upgrade until I train the next major fine-tune.--Anima0.5Trained on anima3. Recommended strength: 0.6.Works best with block filtering — I created a ComfyUI nodepack for this: ComfyUI-LoRA-Block-Filter. Examples generated alongside my other LoRA — nicegirls. Experimental version. Results may vary depending on prompt and block weight settings.--Flux2I use it with res2m+beta57, guidance 4, and it works very well. The quality is similar to my Qwen Lenovo, but I noticed that Flux2 is more flexible and has better prompt adherence.Recommend to use with strength 0.85-0.9-- Z-image TurboActually i'm not sure that my workflow is correct, i believe the result could be betterRecommend to use with strength 0.80-0.9I used euler + sgm_uniform with 4 guidanceP.S: at this moment for ComfyUI u need this pack to load lora properly https://github.com/PGCRT/CRT-Nodes--ChromaMy first try to train lora that enhance realism in Chroma. I'll upload my workflow today a lil bit later (or atm u can just take it from images) cause there some nuances about settings. But from my observations i noticed that for fast gen dpmpp2m + beta with cfg 3 works good . More experimental settigns are res_2s_rkmk2e + beta57 and cfg 3, more accurate gens, better limbs and fingers, but gives a bit weird grain on very small details + plus this method is pretty long--QwenWorks perfectly and much better then other versions. Gives extremely "live" images with amateurish quality with dramatic light and shadows, some blur and with vibe of 2000s street photographyYou can take workflow here https://huggingface.co/Danrisi/Lenovo_Qwen/resolve/main/Qwen_danrisi.jsonThanx to fox23vang226. i understood that it's possible (and even have better effect) to use lora with values 1.5 - 2.0. P.S.: almost all example images generate with both loras (NiceGirls)--WanThis is the first release — mainly a test to explore Wan's capabilities.Note: In this initial version, facial details are somewhat lacking. For better results, I recommend using it alongside the Instagirls LoRA by my friend, which significantly enhances facial features.--FluxWho needs a fancy name when the shadows and highlights do all the talking? This experimental LoRA is the scrappy cousin of my Samsung one—same punchy light-and-shadow mojo, but trained on a chaotic mix of pics from my ancient phones (so no Samsung for now)