Text-to-Image
Diffusers
Trained with AutoTrain
stable-diffusion
stable-diffusion-diffusers
lora
template:sd-lora
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("AmilaUvaz/Michelle")
prompt = "<Michelle, a 24-year-old traveler with brown skin, rectangle face, brown eyes, Armond-shaped eyebrows, long wavy brown hair)>"
image = pipe(prompt).images[0]AutoTrain LoRA DreamBooth - AmilaUvaz/Michelle
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on <Michelle, a 24-year-old traveler with brown skin, rectangle face, brown eyes, Armond-shaped eyebrows, long wavy brown hair)> using DreamBooth. LoRA for the text encoder was enabled: False.
- Downloads last month
- 1
Model tree for AmilaUvaz/Michelle
Base model
runwayml/stable-diffusion-v1-5