Instructions to use Jonjew/ChaosWeave with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/ChaosWeave 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/ChaosWeave") prompt = "A young woman stands confidently, holding a sword in her right hand, showcasing a determined expression on her face. She has long, dark hair that cascades down, accentuating her profile, and her makeup is minimal yet striking, featuring a bold eyeliner that highlights her eyes. She is dressed in a traditional white martial arts uniform, complete with subtle details and a loose fit that allows for movement. The background is softly blurred with warm tones of greenery, adding a sense of focus on her poised stance., <lora:chaos-weave_v60_rank32_bf16-step01200:1>, difrctlchs" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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