Instructions to use harsha19/ramya with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use harsha19/ramya 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("harsha19/ramya") prompt = "rups" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
#1
by harsha19 - opened
Generated example for model harsha19/ramya.
Prompt: A beautiful Indian wearing saree laid flat on bed with head on pillow and looking straight at the camera, view from above, full body showing beautiful legs wide round hips, wearing jewelry and red lipstick, volumetric lighting, ambient lighting, bright bold colors, professional quality