Instructions to use Jonjew/RaveOutfit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/RaveOutfit 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("Jonjew/RaveOutfit") prompt = "A tall, voluptuous woman with golden brown skin and long, flowing black hair styled in soft waves struts across a glowing glass runway inside a futuristic nightclub. She wears the Fr1llY_R@v3_outfit in a deep metallic violet, a two-piece ensemble featuring a shimmering tie-front crop top with a plunging neckline and long, knee-length glitter fringe sleeves. The matching high-waisted bell-bottom pants hug her hips and thighs before flaring out dramatically, covered in reflective, light-reactive fabric. Neon lights in shades of purple, pink, and electric blue bounce off every surface as holographic visuals swirl through the smoky atmosphere. Her clear platform heels glint under the strobes as she moves mid-stride, fringe swaying, with a confident, sultry expression. In the background, a crowd of dancers and glowing digital projections create a vibrant, chaotic rave scene under a ceiling of shifting laser constellations." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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