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("Chenhsing/output")
prompt = "a photo of sks dog"
image = pipe(prompt).images[0]LoRA DreamBooth - Chenhsing/output
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a photo of sks dog using DreamBooth. You can find some example images in the following.
- Downloads last month
- 6
Model tree for Chenhsing/output
Base model
runwayml/stable-diffusion-v1-5