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OneRing/TP3.7.safetensors
TP3.7.safetensors is a machine learning model from OneRing. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as creativeml-openrail-m.
Aesthetically beautiful futanari and traps. Lora trained for more than 220 images with manual promts settings. Few big cocks, mostly medium and small ones in the sample, because models like to make house-sized cocks,…
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Updated Feb 19, 2023
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From the Hugging Face model README
Aesthetically beautiful futanari and traps. Lora trained for more than 220 images with manual promts settings. Few big cocks, mostly medium and small ones in the sample, because models like to make house-sized cocks, I don't like that.
Use a weight around 0.4-.0.6, 0.7 and up is too "stylized" and too one-sided. Below 0.4 often makes a pussy, but you can try and add some basic key prompts: penis, futanari, otoko no ko, female focus, small penis, large penis (carefully, but work), medium penis flaccid, phimosis - helps with size reduction and do what they say
Negative promts: artist name (necessarily, most of the art with watermarks), (worst quality, low quality, extra digits:1.4), multiple penises, multiple hands, multiple testicles,
CFG Scale - 4 to 8, mostly use 5-6, occasionally 7
I used arts mainly: exlic, tofuubear, personalami and some others
The training took place at a resolution of 512x768, so it makes no sense to use 512x512
How to use LoRA's in auto1111:
Update webui (use git pull like here or redownload it)
Copy the file to stable-diffusion-webui/models/lora
Select your LoRA like in this video
Make sure to change the weight (by default it's :1 which is usually too high)
*Information taken from Lykon
Please post your work with or without comments, it will help me improve. Thanks!
P.S. If you want to support me, then you can subscribe to my patreon patreon.com/OneRing and get builds earlier than they come out here (versions on patreon will always be newer by one than here) This will help me a lot in updating the video card over time to make models even better and faster (the main thing is better)