Instructions to use Gemneye/Dan1ella with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Gemneye/Dan1ella 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("Gemneye/Dan1ella") prompt = "Dan1ella a woman, white background, medium shot, modeling clothing, studio lighting, white backdrop" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Dan1ella

- Prompt
- Dan1ella a woman, white background, medium shot, modeling clothing, studio lighting, white backdrop

- Prompt
- Dan1ella a woman is a DJ at a night club, fish eye lens, smoke machine, lazer lights, holding a martini
Model description
trained with AI Toolkit
Trigger words
You should use Dan1ella to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for Gemneye/Dan1ella
Base model
black-forest-labs/FLUX.1-dev