Instructions to use glif-loradex-trainer/keskitariv_flux_dev_darkfantasy_8_kv_prodigy1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/keskitariv_flux_dev_darkfantasy_8_kv_prodigy1 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/keskitariv_flux_dev_darkfantasy_8_kv_prodigy1") prompt = "wounded centaur, mythical creature realistic artwork" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
flux_dev_darkfantasy_8_kv_prodigy1
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user keskitariv.

- Prompt
- wounded centaur, mythical creature realistic artwork

- Prompt
- ruins of athens, snake realistic artwork

- Prompt
- silver vampire sword realistic artwork
Trigger words
You should use realistic artwork 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.
- Downloads last month
- 1
Model tree for glif-loradex-trainer/keskitariv_flux_dev_darkfantasy_8_kv_prodigy1
Base model
black-forest-labs/FLUX.1-dev