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Triple Headed Monkey

Triple Headed Monkey

Entrepreneurial Electronic Music Producer, animator and streamer based in the UK who is now delving into AI.
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Models

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814786447728017737
LORA Flux

Freckles Negative-1

9 2
814786671066321165
LORA Flux

Freckles positive-Positive

10 3
816904472195263217
CHECKPOINT Flux
EXCLUSIVE

TruBass-1.5

591 18
807601654636619939
LORA Flux

Pixel positive-v1

35 2
806878429392693150
LORA Flux

Kevin McCallister (Home alone Mcauley Culkin)-Kevin McCallister V1

63 2
796427485471472859
LORA Flux
EXCLUSIVE

special FX mode-v1

34 3
792238217316381371
LORA Flux

Rose Mcgowan as Paige Matthews from Charmed-Final

117 9
788850866804303405
CHECKPOINT SD 3.5 L

SD3.5 Base Large-NoClips

0
778000289061131844
LORA Flux

1930s photography mode-2024-09-26 16:36:11

123 10
748186275363786589
CHECKPOINT SD3
EXCLUSIVE

WoW_SD3-0.9

524 4
799146405923987862
CHECKPOINT Flux

Real_WoW (Flux+XL)-Real WoW Flux V4

15K 311
800220740453457510
CHECKPOINT XL

FlashBackXL-v1.0 Flashback Alpha

16
665803798985396124
CHECKPOINT XL
EXCLUSIVE

HoloFormXL-v10

2.7K 29
666650148065193593
CHECKPOINT XL

DreamFusionXL-v1

179 7
642656227362522366
CHECKPOINT XL

LoveXL-v1.0

214 13
641189148138452471
CHECKPOINT XL

7 of 9-v2.0

17K 39
783249147118674257
CHECKPOINT Flux

WoW_XL-NS_Flux_WoW 5

38K 180
666648211034931058
CHECKPOINT XL

AnimeGodXL-WonGhibli

157K 1.1K

Articles

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Model Training: FLUX A short explanation of the settings I am using currently to train on my models.

Model Training: FLUX A short explanation of the settings I am using currently to train on my models.

Base Model: 4.5 (Experimental) - Real_WoW (Flux+XL)Network Module: LoRANetwork Dim: 64, Network Alpha: 32Epochs: 10aim for ~ 150 tokens costResolution: 1024x1024Clip Skip: 2Text Encoder LR: 0.00001UNet LR: 0.001464LR Scheduler: cosine_with_restarts (4 cycles, 0 warmup steps)Optimizer: AdamW8bitGradient Accumulation Steps: 16Shuffle Caption: On, Keep n tokens: 7Noise Offset: 0.03Multires Noise Discount: 0.3Multires Noise Iterations: 12conv_dim: 64, conv_alpha: 64

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