Text-to-Image
Diffusers
stable-diffusion-xl
stable-diffusion-xl-diffusers
lora
template:sd-lora
diffusers-training
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("zqiu/lora-trained-xl")
prompt = "A qwe mug is on the rust-colored sands of a deserted Martian plain."
image = pipe(prompt).images[0]SDXL LoRA DreamBooth - zqiu/lora-trained-xl
- Prompt
- A qwe mug is on the rust-colored sands of a deserted Martian plain.
- Prompt
- A qwe mug is on the rust-colored sands of a deserted Martian plain.
- Prompt
- A qwe mug is on the rust-colored sands of a deserted Martian plain.
- Prompt
- A qwe mug is on the rust-colored sands of a deserted Martian plain.
Model description
These are zqiu/lora-trained-xl 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: madebyollin/sdxl-vae-fp16-fix.
Trigger words
You should use a photo of sks mug 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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Model tree for zqiu/lora-trained-xl
Base model
stabilityai/stable-diffusion-xl-base-1.0