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
- Draw Things
- DiffusionBee
- Xet hash:
- 72ccfdbecae75a8fc7cd64dbb5cff09e234ed3aee754d6ded6a138bddc49cddd
- Size of remote file:
- 6.64 MB
- SHA256:
- 3cf603e5ab1f1ff464683cc3035c37e8663c2fabbbfc662042e27a23b0091e83
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