Text-to-Image
Diffusers
Trained with AutoTrain
stable-diffusion-v1-5
stable-diffusion-v1-5-diffusers
template:sd-lora
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("jayavibhav/jdarc-lora-1", dtype=torch.bfloat16, device_map="cuda")
prompt = "photo of jeannedarc"
image = pipe(prompt).images[0]Model description
These are jayavibhav/jdarc-1 LoRA adaption weights for runwayml/stable-diffusion-v1-5.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: True.
Special VAE used for training: None.
Trigger words
You should use photo of jeannedarc to trigger the image generation.
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Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Base model
runwayml/stable-diffusion-v1-5