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

- Prompt
- a girl running illustraiton style

- Prompt
- a canyon illustraiton style

- Prompt
- a vampire illustraiton style
Trigger words
You should use illustraiton style 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/araminta_k_flux_dev_illustration_art
Base model
black-forest-labs/FLUX.1-dev