Instructions to use quasar529/ft-sd15-human_face with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use quasar529/ft-sd15-human_face 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_face") prompt = "((Best quality)), ((masterpiece)), ((realistic)) human face photo capturing a person's gaze with a high definition, detailed portrayal of the human face. The style emphasizes realism, using photography as the medium. The artwork showcases a close-up portrait, focusing on the subject's facial features. The color scheme reflects natural skin tones, lending authenticity to the depiction." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 968e36cca586fdedfa0fbef70708ca6cc4866de8adf63d909f4f55b40da14b1d
- Size of remote file:
- 563 Bytes
- SHA256:
- 5c2e049bf71442b17d7266b91453f38dc02f570cd1263fee85651cac708c56ab
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