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", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Kvisten/nocco-apple-v7")
prompt = "photo of a Nocco bcaa energy drink with the taste of apple"
image = pipe(prompt).images[0]AutoTrain SDXL LoRA DreamBooth - Kvisten/nocco-apple-v7
Model description
These are Kvisten/nocco-apple-v7 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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 a Nocco bcaa energy drink with the taste of apple to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 3
Model tree for Kvisten/nocco-apple-v7
Base model
stabilityai/stable-diffusion-xl-base-1.0