Instructions to use glif-loradex-trainer/r2floww_Lunatics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/r2floww_Lunatics 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/r2floww_Lunatics") prompt = "Lunatic wearing a gold bucket hat and sunglasses, standing on a pile of coins, ultra-detailed, photorealistic lighting, 3D render style, sharp shadows, black background, vibrant textures, cinematic depth" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Lunatics
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user r2floww.

- Prompt
- Lunatic wearing a gold bucket hat and sunglasses, standing on a pile of coins, ultra-detailed, photorealistic lighting, 3D render style, sharp shadows, black background, vibrant textures, cinematic depth
Trigger words
You should use lunatic 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
- 17
Model tree for glif-loradex-trainer/r2floww_Lunatics
Base model
black-forest-labs/FLUX.1-dev