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("fashxp/mercedes-1")
prompt = "a photo of fash-car"
image = pipe(prompt).images[0]AutoTrain LoRA DreamBooth - fashxp/mercedes-1
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a photo of fash-car using DreamBooth. LoRA for the text encoder was enabled: False.
- Downloads last month
- 2
Model tree for fashxp/mercedes-1
Base model
runwayml/stable-diffusion-v1-5