As requested by @denrakeiw
Here is an XYZ for

🚗 We Are Electric ⚡

Loras:

1. Lora FA <lora:FF-We-Are-Electric-XL-Cr2-v0564-FA:1>

   • Module: networks.lora_fa

   • Dim: 64

   • Alpha: 64.0

2. Lycoris - preset FULL <lora:WeAreElectric-FFai-LycoLora:1>

   • Module: lycoris.kohya

   • Resolution: 1024x1024

   • Preset: full

   • Algo: lora

   • Dropout: 0.0

3. Lycroris LoKR preset FULL with SDXL v-prediction <lora:WeAreElectric-FFai-LoKr-vpred:1>

   • Preset: full

   • Algo: lokr

   • Factor: 8

   • Dim: 100,000,000

   • Alpha: 0.69

4. LoRA - High Alpha Experiment (1.7GB oversized lora)

   • Module: networks.lora

   • Dim: 256

   • Alpha: 512.0

5. CivitAI Lora <lora:We_are_Electric:1>

   • Resolution: 1024x1024

   • Architecture: stable-diffusion-xl-v1-base/lora

   • Learning Rate: 0.0005

   • UNet LR: 0.0005

   • TE LR: 5e-05

   • Network Dim/Rank: 32.0 Alpha: 1.0

   • Optimizer: bitsandbytes.optim.adamw.AdamW8bit(weight_decay=0.1)

   • Epoch: 15

   • Batches per epoch: 455

   • Gradient accumulation steps: 1

     Train images: 1820

   • Regularization images: 0

     Multires noise iterations: 6.0

   • Multires noise discount: 0.3

   • Min SNR gamma: 5.0

     UNet weight average magnitude: 4.496516309802129

     UNet weight average strength: 0.016011949140159916

     Text Encoder (1) weight average magnitude: 1.8189308640704058

     Text Encoder (1) weight average strength: 0.009030077111409775

     Text Encoder (2) weight average magnitude: 1.835224805119421

     Text Encoder (2) weight average strength: 0.007039581994775502

6. FFusion LoRA <lora:FFusion-We-Are-Electric.64LORA:1>:

   • Description: Merged and scaled using dynamic weights from Loras 1-5.