--Anima
Trained on anima3. Recommended strength: 0.4.
Works best with block filtering — I created a ComfyUI nodepack for this: ComfyUI-LoRA-Block-Filter. (use no_style_leak preset). Examples generated alongside my other LoRA — Lenovo.
Experimental version. Results may vary depending on prompt and block weight settings.
--Qwen2512
Trained with the best my technique. Best use with Samsung lora
-- Z-Image (Asian Edition)
I'm experimenting with a completely different training method here. While it's still a work in progress, feel free to give it a try.
Regarding the examples: I used 40 steps to test the limits, but you can definitely achieve good results with fewer steps like 20 for example
-- Chroma
Use with weight around 0.6-0.8. Works great along with lenovo lora
-- Z-Image
Unfortunately at this moment only european girls, but this was just test, so wait for new versions. Highly recommend to use with my workflow https://civarchive.com/models/2190193?modelVersionId=2466066
-- Qwen
Alternative version gives more clean result with less noise, blur, grain. I recommend when blend with other loras to set weight around 0.6
Just a beauty girls for qwen. Use it along with my Lenovo lora for Qwen
You can take workflow here: https://huggingface.co/Danrisi/Lenovo_Qwen/resolve/main/Qwen_danrisi.json
Description
FAQ
Comments (7)
I can't get it to look quite as realistic as it does in your previews- what are your settings (cfg, scheduler, sampling method, etc)? Are you on base Anima 3.0?
I’m planning to upload the workflow later today. I’ve put together some specific tweaks to achieve that realistic look, so it’ll be much easier to show you everything in the file itself
@Danrisi That would be much appreciated! I tried using the lora on Forge Neo and the results were pretty bad, but looks like all your examples were made in comfy
Hey can somebody tell me if it works for the distilled 9B version or is it exclusively for the undistilled 9B-base?
Klein loras are all (or should be) trained on the base model. If they are, they work for both.
Can u do for LTX 2.3 ???
I have big plans for ltx2.3








