Instructions to use glif-loradex-trainer/chrysolite_Opticallite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/chrysolite_Opticallite 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_Opticallite") prompt = "Skull, Op art, Optical Art, Opticallite" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Opticallite
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user chrysolite.

- Prompt
- Skull, Op art, Optical Art, Opticallite

- Prompt
- Waterfall, Op art, Optical Art, Opticallite

- Prompt
- Skull, Colored, Op art, Optical Art, Opticallite
Trigger words
You should use Op art, Optical Art, Opticallite 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_Opticallite
Base model
black-forest-labs/FLUX.1-dev