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("garg-aayush/teapot")
prompt = "A picture of [V] teapot on a cobblestone street"
image = pipe(prompt).images[0]SDXL LoRA DreamBooth - garg-aayush/teapot
- Prompt
- A picture of [V] teapot on a cobblestone street
- Prompt
- A picture of [V] teapot on a cobblestone street
- Prompt
- A picture of [V] teapot on a cobblestone street
- Prompt
- A picture of [V] teapot on a cobblestone street
Model description
These are garg-aayush/teapot 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 picture of [V] teapot 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 garg-aayush/teapot
Base model
stabilityai/stable-diffusion-xl-base-1.0