Comradeship LU (Lumina)
세부 정보
파일 다운로드
이 버전에 대해
모델 설명
우정은 지속되어야 한다.
@ = Karcher-merge (DiT 전용)
(a @ b @ c) = Karcher_merge.py --models a.safetensors b.safetensors c.safetensors
v2 라이선스는 fair-ai-public-license-1.0-sd
comradeshipLU-v2T28
능이버섯의 역습
Comradeship LU v2T25 + (LoRA 2A × 2.2) = Comradeship LU v2T27
NetaYume Lumina v3.0 + (LoRA 2A × 2.2) = NetaYume Lumina Hentai MOD
Comradeship LU v2T27 @ NetaYume Lumina Hentai MOD = Comradeship LU v2T28
comradeshipLU-v2T25
나는 능이버섯이다
(infallssssuumnnnn/checkpoint-e6_s138000 @ infallssssuumnnnna5n/checkpoint-e3_s95000) = Comradeship LU v2T23
(infallssssuumnnnn/checkpoint-e6_s138000 & infallssssuumnnnna5n/checkpoint-e3_s95000) = Comradeship LU v2PH1
Comradeship LU v2T23 + ((Comradeship LU v2T23 - Comradeship LU v2PH1) × -3.5) = Comradeship LU v2T24
Comradeship LU v2T23 @ Comradeship LU v2T24 = Comradeship LU v2T25
Shingled Hedgehog Mushroom
comradeshipLU-v2T22
neta-lumina-v1.0 + LoRA A+ LoRA C + ... = Comradeship LU v2T22
https://huggingface.co/hanzogak/comradeshipLUv2
Chili con carne
comradeshipLU-v2T18
neta-lumina-alpha-aes-full-a5n-ep2-s58714.pth +LoRA 1A + (LoRA 1B × -1) + LoRA 1C +LoRA A + LoRA C + (LoRA D × -0.35) + LoRA E + LoRA 1C + (LoRA 1D × 1.3) = Comradeship LU v2T18
DiT OVERDOSE
comradeshipLU-v2T14
Simple aesthetic LoRA merge × 4.5 = very very aesthetic
Comradeship LU v2T9 + A LoRA + (B LoRA × -1) + C LoRA + (D LoRA × -1) + E LoRA + (F LoRA × -0.55) + G LoRA + (H LoRA × -0.25) + (I LoRA× 0.5) = Comradeship LU v2T14
DiT Dreamer
comradeshipLU-v2T12
Simple aesthetic LoRA merge × 3 = very aesthetic
Comradeship LU v2T9 + LoRA A + (LoRA B × -1) + LoRA C + (LoRA D × -1) + LoRA E + (LoRA F × -0.55) = Comradeship LU v2T12
comradeshipLU-v2T10
Simple aesthetic LoRA merge
(Neta Lumina Alpha full_round5_ep5_s182000 @ Neta Lumina Alpha NetaAniLumina_Alpha_full_round7_ep4_s82000 @ Neta Lumina Alpha full_roundnnnn_ep1_s38000 @ Neta Lumina Alpha full_roundnnnn_ep3_s63858 @ Neta Lumina Alpha full_roundnnnn_ep4_s85144 @ Neta Lumina Alpha full_roundnnnn_ep5_s106430 @ Neta Lumina Alpha full_roundnnnn_ep6_s127716 @ Neta Lumina Alpha full_roundnnnn_ep7_s149002 @ Neta Lumina Alpha full_roundnnnn_ep7_s160000) = km1
(beta-lumina-beta-0624-aes-experimental - km1) × 0.5 + (km1) = Comradeship LU v2T9
Comradeship LU v2T9 + LoRA A + (LoRA B × -1) = Comradeship LU v2T10
comradeshipLU-v2T6
((neta-lumina-beta-0624 @ Neta Lumina Alpha(full_round7_ep4_s68303)) + ((LeX-Lumina - Lumina-Image-2.0) × 0.2) × 0.5) + ((neta-lumina-beta-0624 @ Neta Lumina Alpha(full_roundnnnn_ep7_s149002)) + ((LeX-Lumina - Lumina-Image-2.0) × 0.2) × 0.5) = Comradeship LU v2T6
comradeshipLU-v2T3
이것은 테스트용 Karcher-merge 모델입니다. (https://github.com/win10ogod/Karcher-merge)
(neta-lumina-beta-0624 @ Neta Lumina Alpha(full_round7_ep4_s68303)) + ((LeX-Lumina - Lumina-Image-2.0) × 0.2) = Comradeship LU v2T3
comradeshipLU-v1T2
이것은 Illustrious-Lumina-v0.03을 기반으로 한 합성 애니메이션 모델입니다. 테스트용 합성 모델입니다.
Illustrious-Lumina-v0.03 + ((LeX-Lumina - Lumina-Image-2.0) × 0.6) = Comradeship LU v1T2












