GAG - RPG Potions | LoRa XL

LORA
Original


Updated:

334

GAG = Game Asset Generator
📅 Date: 2023-10-23T12:19:42

FF_Potion_Generator 🧪⚗️

  • Resolution: 1024x1024

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

  • Network Dim/Rank: 32.0

  • Alpha: 1.0

  • Module: networks.lora

  • Learning Rates:

    • Overall: 0.0005

    • UNet: 0.0005

    • Text Encoder: 5e-05

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

  • Scheduler: cosine_with_restarts

  • Warmup steps: 0

  • Training Details:

    • Epoch: 15

    • Batches per epoch: 250

    • Gradient accumulation steps: 1

  • Images:

    • Train images: 1000

    • Regularization images: 0

  • Noise & Regularization:

    • Multires noise iterations: 6.0

    • Multires noise discount: 0.3

    • Min SNR gamma: 5.0

    • Zero terminal SNR: True

    • Max grad norm: 1.0

    • Clip skip: 1

  • Dataset: 1 Directory with 500 images

  • UNet Weights:

    • Average magnitude: 2.9637

    • Average strength: 0.0109

  • Text Encoder Weights:

    • (1) Magnitude: 1.7253 | Strength: 0.0086

    • (2) Magnitude: 1.7251 | Strength: 0.0067

🔖 Tags:


potion, painting of one health potion, potion of healing, health potion, magic potions, magical potions, alchemy concept, hyper realistic poison bottle, rendered art, making a potion, potions, fantasy game spell symbol, rpg game item, alchemist bottles, rpg item render, stylized game art, game icon stylized, hyperdetailed scp artifact jar, 3 d icon for mobile game, 3 d render stylized, casting a spell on a potion ... and 904 more!


Starting my GAG Serries 🤟 🥃

This one is a Potion LORA for 2.1 SD models.

Depending on the model you will get quite different results.



You can use a background remover while generating and get:



again this is a test LORA and is heavily dependent on the input model.

LyCORIS version will be up for testing in a few hours.
And a 2.1 Model is expected in 48-60 hours

For PIXALISATION try:
PIXHELL by R6SPY 🤟


PS: so far you can use it for demonstration purposes (preview version)

with version 1.0 above (lora and models of GAG series)
two versions will be available:
Licensed - can be licensed for in-game usage upon request (using only my work and licensed images from my end)
Community - using sourced free images and sources but you are responsible is used commercially in your project ¯\_(ツ)_/¯ 🤟 🥃

Version Detail

SDXL 1.0
<p>Conducting an initial test with the Civitai LoRA trainer on a limited batch.<br /><br />Date: 2023-10-23T12:19:42 Title: FF_Potion_Generator</p><p>Resolution: 1024x1024 Architecture: stable-diffusion-xl-v1-base/lora</p><p>Network Dim/Rank: 32.0 Alpha: 1.0</p><p>Module: networks.lora</p><p>Learning Rate (LR): 0.0005 UNet LR: 0.0005 TE LR: 5e-05</p><p>Optimizer: bitsandbytes.optim.adamw.AdamW8bit(weight_decay=0.1)</p><p>Scheduler: cosine_with_restarts Warmup steps: 0</p><p>Epoch: 15 Batches per epoch: 250 Gradient accumulation steps: 1</p><p>Train images: 1000 Regularization images: 0</p><p>Multires noise iterations: 6.0 Multires noise discount: 0.3</p><p>Min SNR gamma: 5.0 Zero terminal SNR: True Max grad norm: 1.0 Clip skip: 1</p><p>Dataset dirs: 1</p><p> [img] 500 images</p><p>UNet weight average magnitude: 2.9637495446847635</p><p>UNet weight average strength: 0.010910434567277522</p><p>Text Encoder (1) weight average magnitude: 1.7253436262339745</p><p>Text Encoder (1) weight average strength: 0.0086376313085263</p><p>Text Encoder (2) weight average magnitude: 1.7251399575500794</p><p>Text Encoder (2) weight average strength: 0.006686976993287057</p>

Project Permissions

    Use Permissions

  • Use in TENSOR Online

  • As a online training base model on TENSOR

  • Use without crediting me

  • Share merges of this model

  • Use different permissions on merges

    Commercial Use

  • Sell generated contents

  • Use on generation services

  • Sell this model or merges

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