Instructions to use glif-loradex-trainer/kklors_flux_dev_translucency with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/kklors_flux_dev_translucency 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/kklors_flux_dev_translucency") prompt = "image of a dragonfly TL, translucency" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
flux_dev_translucency
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user kklors.

- Prompt
- image of a dragonfly TL, translucency

- Prompt
- a person behind a window TL, translucency

- Prompt
- young woman wearing a plastic coat and a plastic hand bag, sunset in a desert TL, translucency

- Prompt
- strong light shining through a person TL, translucency

- Prompt
- a huge modern architecture building looking like a tent, directional light TL, translucency

- Prompt
- an apple surrounded by plastic TL, translucency
Trigger words
You should use TL, translucency 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/kklors_flux_dev_translucency
Base model
black-forest-labs/FLUX.1-dev