Instructions to use neeradht/riven with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use neeradht/riven 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("neeradht/riven") prompt = "A young woman named Riven, early 20s, light Mediterranean olive skin tone, sleek straight dark brown hair with subtle face-framing layers falling to shoulders, sharp editorial high-fashion bone structure, natural minimal makeup, defined eyebrows, soft brown eyes, small gold nostril hoop ring on right side, delicate gold leaf chain choker necklace, gold leaf shaped drop earrings, wearing a vintage oversized dark pinstripe blazer, front facing portrait shot, standing on a New York City street, brownstone buildings in background, overcast natural daylight, sharp focus throughout, 35mm film photography aesthetic, muted color palette, realistic, photojournalism style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!