Renato Casaro 02-V1

LORA
Original


Updated:

Base Model: Flux.1 (Dev-fp8)

Network Module: LoRA

Trigger Words: rntcsr02v1

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IMAGE PROCESSING PARAMETERS:

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Repeat: 20

Epoch: 10

Save Every N Epochs: 1

Total Repetitions Per Image: 200

Total Steps: 3800

Resolution: 1024x1024

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TRAINING PARAMETERS:

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Seed: -

Clip Skip: -

Text Encoder Learning Rate: 0.00001

Unet Learning Rate: 0.0001

LR Scheduler: constant

lr_scheduler_num_cycles: 1

num_warmup_steps: 0

Optimizer: AdamW8bit

Network Dim: 64

Network Alpha: 64

Gradient Accumulation Steps: -

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LABEL PARAMETERS:

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Shuffle Caption: Off

Keep N Tokens: 1

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ADVANCED PARAMETERS:

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Noise Offset: 0.1

Multires Noise Discount: 0.3

Multires Noise Iterations: 4

conv_dim: 8

conv_alpha: 16

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SAMPLE IMAGE SETTINGS:

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Prompt: rntcsr02v1. 1982 movie poster for a drama movie.

Sampler: ddpm

Version Detail

Trained by Tensor
FLUX.1
1

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