Instructions to use quasar529/ft-sd15-human_largebath with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use quasar529/ft-sd15-human_largebath with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("quasar529/ft-sd15-human_largebath") prompt = "((Best quality)), ((masterpiece)), ((realistic)) photo of a person. The photo will be taken with soft, even lighting in an indoor setting. The style will focus on realism, using digital photography as the medium. The artwork will capture the subject in a professional attire. The color scheme will consist of neutral tones, creating a refined and polished appearance." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
