How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("OnomaAIResearch/Illustrious-XL-v2.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("BlueTriangles/SDXL_ATH_14_ST")

prompt = "sdxl-ath-14-st"
image = pipe(prompt).images[0]

ATH-14-ST Standing Tortoise / VOTOMS(スタンディングトータス in 装甲騎兵ボトムズ・TVシリーズ)

Prompt
sdxl-ath-14-st
Prompt
sdxl-ath-14-st
Prompt
sdxl-ath-14-st
Prompt
sdxl-ath-14-st
Prompt
sdxl-ath-14-st
Prompt
sdxl-ath-14-st

Model description

Trained by 37 images with 20 epochs, 5 repeats for 480 steps. Trigger and useful keywords (tags) are as follows.

Appearance: sdxl-ath-14-st, no humans, robot, mecha, science fiction, antennae, shield, machinery, mecha focus, radio antenna, holding weapon

Trigger words

You should use sdxl-ath-14-st to trigger the image generation.

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