Instructions to use Asahina2K/myLilaXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Asahina2K/myLilaXL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cagliostrolab/animagine-xl-3.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Asahina2K/myLilaXL") prompt = "1girl, lila,breasts, heterochromia, solo, large breasts, hair ornament, red eyes, outdoors, long hair, crossed bangs, tree, twintails, pale skin, holding, bodysuit, closed mouth, bangs, cleavage, hair between eyes, low twintails, upper body, purple eyes, hairclip, white hair, outdoors, scenery, flower, sky, cloud, day, nature, yellow flower, reflection, mountain, blue sky, tree, grass, water, lake, forest, field, cloudy sky, landscape, mountainous horizon, reflective water <lora:my_lilaXL:0.8>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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