supernal

This LoRA model generates digital drawings in a manga style, depicting large robotic creatures with distinctive shark-like features, such as pointed snouts and red eyes. The artworks feature segmented, mechanical bodies adorned with visible gears and cables, set against intricately detailed mechanical backgrounds.

Trigger word: supernal

Sample Outputs

Sample 1 Sample 2
supernal, This is a digital drawing in a manga style, featur... supernal, This is a digitally-created, hyper-realistic close...
Sample 3 Sample 4
supernal, This is a highly detailed, digital illustration in... supernal, This digital artwork depicts a towering, armored w...

Usage

ComfyUI

  1. Download the .safetensors file from the Files tab
  2. Place in ComfyUI/models/loras/
  3. Use the Load LoRA node with strength 0.8-1.0
  4. Include supernal in your prompt

Diffusers

import torch
from diffusers import FluxPipeline

pipe = FluxPipeline.from_pretrained(
    "black-forest-labs/FLUX.1-dev",
    torch_dtype=torch.bfloat16
)
pipe.load_lora_weights("ms2stationthis/supernal")
pipe.to("cuda")

image = pipe(
    prompt="supernal portrait, soft lighting, detailed",
    guidance_scale=3.5-4.0,
    num_inference_steps=20-30,
    generator=torch.Generator("cuda").manual_seed(42)
).images[0]

image.save("output.png")

Recommended Settings

Parameter Value
LoRA Strength 0.8-1.0
Guidance Scale 3.5-4.0
Inference Steps 20-30
Resolution 1024x1024

Example Prompts

  • supernal this is a digital drawing in a manga style
  • supernal featuring a large
  • supernal intricate mechanical structure
  • supernal filled with gears and pipes

Training Details

  • Base model: black-forest-labs/FLUX.1-dev
  • Training steps: 4000
  • Trigger word: supernal
  • Network: LoRA rank 32, alpha 32
  • Optimizer: adamw8bit, lr 1e-4
  • Precision: float16
  • Resolution: 512, 768, 1024 (multi-res bucketed)

About

Trained using StationThis — an AI creative platform powered by $MS2. Train your own LoRAs via @stationthisbot on Telegram.


Generated by StationThis Training Pipeline

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