Instructions to use glif-loradex-trainer/chrysoliteop_Chrysolite_Light_Leaks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/chrysoliteop_Chrysolite_Light_Leaks 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/chrysoliteop_Chrysolite_Light_Leaks") prompt = "Cat, LTLKS_CHRYLT" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- diffusers
- text-to-image
- template:sd-lora
- base_model:black-forest-labs/FLUX.1-dev
- base_model:finetune:black-forest-labs/FLUX.1-dev
- license:other
- region:us
- flux
- lora
widget:
- output:
url: samples/1732346090251__000003000_0.jpg
text: Cat, LTLKS_CHRYLT
- output:
url: samples/1732346113846__000003000_1.jpg
text: Waterfall, LTLKS_CHRYLT
- output:
url: samples/1732346137475__000003000_2.jpg
text: City, LTLKS_CHRYLT
base_model: black-forest-labs/FLUX.1-dev
trigger: LTLKS_CHRYLT
instance_prompt: LTLKS_CHRYLT
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
Chrysolite_Light_Leaks
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user chrysoliteop.

- Prompt
- Cat, LTLKS_CHRYLT

- Prompt
- Waterfall, LTLKS_CHRYLT

- Prompt
- City, LTLKS_CHRYLT
Trigger words
You should use LTLKS_CHRYLT 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.