Instructions to use glif-loradex-trainer/Lamia-000_Rauschenberg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/Lamia-000_Rauschenberg 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/Lamia-000_Rauschenberg") prompt = "wounded centaur, mythical creature Rausch" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Rauschenberg
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user Lamia-000.

- Prompt
- wounded centaur, mythical creature Rausch

- Prompt
- ruins of athens, snake Rausch

- Prompt
- silver vampire sword Rausch
Trigger words
You should use Rausch 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
- 9
Model tree for glif-loradex-trainer/Lamia-000_Rauschenberg
Base model
black-forest-labs/FLUX.1-dev