Instructions to use Thayselimacosta/Realismo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Thayselimacosta/Realismo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xinsir/controlnet-union-sdxl-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Thayselimacosta/Realismo") prompt = "natural light portrait of a young woman with dark brown hair styled in a loose side braid, subtle freckles on her nose and cheeks, natural glowing skin texture, soft smile, minimal makeup, wearing a dark green blouse, soft depth of field, blurred background, professional photography, 85mm lens effect, high detail skin pores, realistic lighting" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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