Instructions to use XaflocAI/jade with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use XaflocAI/jade 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("XaflocAI/jade") prompt = "blonde haired woman, (blue jeans:1.3) and (bra:1.2) and (leather jacket:1.2), long hair, small boobs, (full body:1.5), elegant pose, (detailed skin texture:1.5), background (new york city at night:1.3), hazel eyes, intricate details, hyperdetailed, cinematic, dark shot, muted colors, film grainy, soothing tones, muted colors, technicolor, kodak 400 camera, photorealistic, realistic, realism, dslr" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Commit History
initial commit a8952d5 verified
Darren commited on