Instructions to use Gemneye/Sar1ta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Gemneye/Sar1ta 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/Sar1ta") prompt = "Sar1ta a woman playing the guitar, on stage, singing a song, laser lights, punk rocker" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Sar1ta

- Prompt
- Sar1ta a woman playing the guitar, on stage, singing a song, laser lights, punk rocker

- Prompt
- Sar1ta a woman holding a coffee cup, in a beanie, sitting at a cafe
Model description
Trained with AI Toolkit
Trigger words
You should use Sar1ta to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
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Model tree for Gemneye/Sar1ta
Base model
black-forest-labs/FLUX.1-dev