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WAS Battletech

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Verified:
PickleTensor
Type
Embedding
Stats
1,761
627
Reviews
Published
Mar 3, 2023
Base Model
SD 1.5
Training
Steps: 5,000
Trigger Words
was-battletech
Hash
AutoV2
8F264660DD
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WAS

WAS Battletech

A Battletech: Mechwarrior Textual Inversion Faux Style

Usage:

Ending your prompt with the following segments is probably the best method. Name may differ for different versions.

  • art by WAS-Battletech

  • art by [(WAS-Battletech):0.5] (Less effect)

  • art by (WAS-Battletech) (More Effect)

  • art by [((WAS-Battletech)):1.5] (Extreme Ultra Mode)

  • ... etc

Example Positive Prompt(s):

  • ((full body shot)) A concept art of a ((Silver colored)) Mechwarrior, art by WAS-Battletech, good hand, best hand, 4k, high-res, masterpiece, best quality, ((Hasselblad photography)), finely detailed skin, sharp focus

  • ((full body shot)) A concept art of a ((Silver colored)) Mechwarrior, (((Running fast))), art by WAS-Battletech, good hand, best hand, 4k, high-res, masterpiece, best quality, ((Hasselblad photography)), finely detailed skin, sharp focus

  • ((full body portrait)) A concept art of a ((Silver colored)) Mechwarrior, (((Action Pose, With Shoulder Rocket Batteries))), art by WAS-Battletech, good hand, best hand, 4k, high-res, masterpiece, best quality, ((Hasselblad photography)), finely detailed skin, sharp focus

Example Negative Prompt(s):

  • (((Multiple subjects, multiple mechwarriors, multiple people, explosions, fire, lasers, cat, dog, animal))), NG_DeepNagetive_V1_75T,(greyscale:1.2), ((nude)), paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale))

Compatible Models:

  • TAM_LOFI - TheAlly's Mix III: Revolutions x LOFI (multiplied 0.5 weighted sum)

  • LOFI

  • TheAlly's Mix III: Revolutions

  • Protogen 2.2+

  • Basically any fine-tune based on vae-ft-mse-840000-ema-pruned or better

Notes:

Model used for previews is "TAM_LOFI" (my name for it) which is a mix of TheAlly's Mix III: Revolutions (for dark outputs) and LOFI model. Multiplied at 0.5 weighted sum.

❤ Hearts and 🖼️ Reviews let me know you want moarr! :3