Instructions to use glif-loradex-trainer/chrysolite_Neoclassiclite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/chrysolite_Neoclassiclite with Diffusers:
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] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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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Model tree for glif-loradex-trainer/chrysolite_Neoclassiclite
Base model
black-forest-labs/FLUX.1-dev