Instructions to use vishalex2/sienna with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vishalex2/sienna 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("vishalex2/sienna") prompt = "sienna, ultra realistic photograph, beautiful young woman 23 years old, confident seductive expression with slight head tilt, deep warm brown eyes gazing directly into the lens, long voluminous wavy dark brown hair with center part and rich soft waves cascading to chest, perfect symmetrical features, full defined lips, porcelain-smooth fair skin, elegant neck and collarbones, feminine curvaceous figure with slim waist and prominent full bust, tight black mesh cutout top with decorative straps, intimate studio setting, soft cinematic lighting, dslr photo style, razor sharp focus, highly detailed realistic skin texture, hair shine and strands, clothing details, strictly adhere to reference image proportions: exact face shape, eye color and size, hair length and wave, body proportions and bust-waist ratio, 8k masterpiece" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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