import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("radoslavvv/coca-cola")
prompt = "A photo of coca cola bottle"
image = pipe(prompt).images[0]LoRA DreamBooth - radoslavvv/coca-cola
These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on A photo of coca cola bottle using DreamBooth. You can find some example images in the following.
- Downloads last month
- 5
Model tree for radoslavvv/coca-cola
Base model
CompVis/stable-diffusion-v1-4