U-1146 from CELLS AT WORK!

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I mainly tagged for U-1146 but you can try generating for RBC :D

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?Main Trigger Tags?

v1:

Neucell, 1boy, male focus, anime screencap,



v2:

Pair = couple focus, NeuCAW, 1boy, RbcCAW, 1girl



WBC= male focus, NeuCAW, 1boy, anime screencap

⚓Other Unique Tags⚓

• Check out Gallery (Highly Recommended)

• Experiment on your own

• Do not use all Other Unique Tags on a generation to get the character's outfit.

?Dadada's Berries?

• Use with Pony Diffusion XL Based models

• Remove "Anime screencap" for flexibility

• Remove "Other Unique Tags" or the character name within that unique tag for flexibility

• Change ___ focus if causing artefacts for ex. (siblings focus ---> Best friends focus)

• Reduce tag weight with [_tag goes here_]

• Reduce weight but hold character likeness with (__input biological tag__)

?GENDER BENDING?

• Gender bend by replacing "1boy, male focus" with "1girl, female focus" vice versa

• Use with Male centered Pony Diffusion XL Based models or LoRA styles, vice versa

• Reduce LoRA weight appropriately when prompting for male, vice versa or...

• Add tags related to the male anatomy (abs, pecs, penis, etc.), vice versa

?MODEL CONTROL?

• Better Checkpoint infusion with reduction of LoRA weight and CFG increase

• Some checkpoint models will force additional elements, add undesired elements in negative or specify in positive with "no type undesired element"

??‍?BAKING OWN OC!??‍?

• When MIXING Character LoRAs (mine), reduce weight to 0.6-0.8. while keeping their mother tags in.

• When MIXING Character LoRAs (not mine but with mine), reduce my LoRAs weight appropriately while keeping their mother tags in.

• When influencing own imagination with my LoRA, reduce weight appropriately

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To sustain the body in TENSORART! <.<

https://tensor.art/models/756447563340634613/U-1146-or-Cells-at-Work!-v1.0

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?NOTE:

Ask for my permission if you wish to reprint or upload my models on sites I have no knowledge of. I would love it if my LORAs can only be downloaded through CIVIT. Thank you <333

描述:

Trained on 265 images consisting of:

• Screenshots

训练词语: Neucell, black eyes, pale skin,