The model combines three datasets, the weight of which is configured by keywords (you can not write, it will be average). The model aims to create realistic oily skin of the face and body. Skin is not ideal.
Keywords: RSERomantic, RSESofiko, RSEEmma, or mix: (RSERomantic:0.8)(RSEEmma:0.6).
Request example:
photo (pure:1.0) plump ass, face, boobs, face, boobs, (hyper realistic:1.25), (photo realistic:1.3), realistic, (young woman:1.1) (RSEEmma:0.9) dressed in a dress, volumetric lighting, side light, realistic detailed skin, pale skin <lora:RSERomantic_RSESofiko_RSEEmma-v1:0.4> <lora:breastinclassBetter_v141:0.15>
DPM SDE Karras, res:768x768, seed:1689791115, CFG:9, steeps:36, model:uberRealisticPornMerge_urpmv13
Works well with models (tested at 768x768): uberRealisticPornMerge_urpmv13, 3moonSkinREAL_skinREAL3moon.
Description
Reliz v1
FAQ
Comments (5)
Hi , i have trouble understanding how to use your lora , what are the 3 applications individually ? what Romantic does ? what Sofiko does ? what Emma does ? maybe it s obvious but i m missing the point sorry.( i think i just dont have the vocabulary)
also is there a difference doing (RSEEmma:0.9) <lora:RSERomantic_RSESofiko_RSEEmma-v1:0.4> and the opposite : (RSEEmma:0.4) <lora:RSERomantic_RSESofiko_RSEEmma-v1:0.9>
is it in automatic1111?
send me the Romantic1 lora to [email protected] please.thanx.thanx.thanx...
I think your loRA has a lot of biases, I think we would be very grateful if you share the dataset used
Can you please add informations about used datasets? Thank you.
Details
Files
RSERomantic_RSESofiko_RSEEmma-v1.safetensors
Mirrors
RSERomantic_RSESofiko_RSEEmma-v1.safetensors
RSERomantic_RSESofiko_RSEEmma-v1.safetensors
RSERomantic_RSESofiko_RSEEmma-v1.safetensors
RSERomantic_RSESofiko_RSEEmma-v1.safetensors
RSERomantic_RSESofiko_RSEEmma-v1.safetensors
RSERomantic_RSESofiko_RSEEmma-v1.safetensors
realisticGlossyFaceSkin_rseromanticRsesofiko.safetensors
Available On (2 platforms)
Same model published on other platforms. May have additional downloads or version variants.