Instructions to use glif-loradex-trainer/araminta_k_flux_dev_tarot_test_1 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_tarot_test_1 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_tarot_test_1") prompt = "wounded centaur, mythical creature illustration style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
flux_dev_tarot_test_1
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user araminta_k.

- Prompt
- wounded centaur, mythical creature illustration style

- Prompt
- ruins of athens, snake illustration style

- Prompt
- two of cups, a priestess illustration style

- Prompt
- a beautiful maiden, illustration style

- Prompt
- the fool, tarot card, illustration style
Trigger words
You should use illustration 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_tarot_test_1
Base model
black-forest-labs/FLUX.1-dev