Instructions to use sidemix/lexymodel2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sidemix/lexymodel2 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("sidemix/lexymodel2") prompt = "Selfie, lexyModel, close-up, holding iPhone with black case, rooftop at sunset, city skyline behind, golden hour light, photoreal, soft skin detail, natural smile --neg (extra fingers, bad hands, poorly drawn hands, missing fingers, deformed hands, bad eyes, extra limbs, long neck, mutated fingers, extra arms, extra legs, bad anatomy, blurry, lowres, watermark, signature, text, artifacts)" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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