Text-to-Image
Diffusers
Trained with AutoTrain
stable-diffusion-xl
stable-diffusion-xl-diffusers
lora
template:sd-lora
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("ngoupeyoukheng/fourmedambert")
prompt = "An image of the fourme dambert cheese"
image = pipe(prompt).images[0]AutoTrain SDXL LoRA DreamBooth - haroldng/fourmedambert
Model description
These are haroldng/fourmedambert LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for training: None.
Trigger words
You should use An image of the fourme dambert cheese to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Base model
stabilityai/stable-diffusion-xl-base-1.0