Instructions to use ArunSoft/revathin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ArunSoft/revathin 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ArunSoft/revathin") prompt = "REVATHIN" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
Generated example for model indiakingarun/revathin.
Prompt: A vibrant and energetic movie poster for Revathi, showcasing REVATHIN in her 30s, exuding charm and confidence, She is depicted mid-action, playing tennis on a modern tennis court, dressed in a trendy white sports skirt and matching crop top, holding a tennis racket with a powerful swing, Her face is fully visible, with detailed and alluring features preserved from the trained model, including her soft, expressive eyes, radiant skin, and a confident smile, Her sleek, flowing hair moves naturally with her motion, The background features a bright blue sky and a cheering crowd, highlighting her sporty and modern appeal, The title Revathi is displayed boldly at the top in sleek, glowing letters, matching the sporty theme.