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
metadata
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
instance_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.
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- lora
inference: true
LoRA DreamBooth - MayIBorn/ft-sd15-human_face
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on ((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. using DreamBooth. You can find some example images in the following.
LoRA for the text encoder was enabled: True.



