Instructions to use AmilaUvaz/Amelia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AmilaUvaz/Amelia with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AmilaUvaz/Amelia") prompt = "Create a portrait of a young woman with an angular jawline, brown eyes that hint at both strength and vulnerability, and luscious, cascading curls of long hair. Illuminate the depth of her gaze and the way the curls frame her face, adding an element of sophistication, Chelsea Gilligan woman, sitting on chair, smiling, long wavy hair," image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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