Text-to-Image
Diffusers
template:sd-lora
flux
lora
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("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("glif-loradex-trainer/chrysolite_Neoclassiclite")

prompt = "Waterfall, Neoclassical, Neoclassicism, oil painting, Neoclassiclite"
image = pipe(prompt).images[0]

Neoclassiclite

Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user chrysolite.

Prompt
Waterfall, Neoclassical, Neoclassicism, oil painting, Neoclassiclite
Prompt
Mountain, Landscape, Neoclassical, Neoclassicism, oil painting, Neoclassiclite
Prompt
Mountain, lake, landscape, Neoclassical, Neoclassicism, oil painting, Neoclassiclite

Trigger words

You should use Neoclassical, Neoclassicism, oil painting, Neoclassiclite to trigger the image generation.

Download model

Weights for this model are available in Safetensors format. Download them in the Files & versions tab.

License

This model is licensed under the flux-1-dev-non-commercial-license.

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