metadata
base_model: lora1
library_name: diffusers
license: openrail++
tags:
- text-to-image
- text-to-image
- diffusers-training
- diffusers
- lora
- template:sd-lora
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
instance_prompt: a photo of a sher teapot
widget:
- text: A photo of a sher teapot in a road
output:
url: image_0.png
- text: A photo of a sher teapot in a road
output:
url: image_1.png
- text: A photo of a sher teapot in a road
output:
url: image_2.png
- text: A photo of a sher teapot in a road
output:
url: image_3.png
SDXL LoRA DreamBooth - William2357/outputmerge1
![](https://huggingface.co/William2357/outputmerge1/resolve/main/image_0.png)
- Prompt
- A photo of a sher teapot in a road
![](https://huggingface.co/William2357/outputmerge1/resolve/main/image_1.png)
- Prompt
- A photo of a sher teapot in a road
![](https://huggingface.co/William2357/outputmerge1/resolve/main/image_2.png)
- Prompt
- A photo of a sher teapot in a road
![](https://huggingface.co/William2357/outputmerge1/resolve/main/image_3.png)
- Prompt
- A photo of a sher teapot in a road
Model description
These are William2357/outputmerge1 LoRA adaption weights for lora1.
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 a sher teapot to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Intended uses & limitations
How to use
# TODO: add an example code snippet for running this diffusion pipeline
Limitations and bias
[TODO: provide examples of latent issues and potential remediations]
Training details
[TODO: describe the data used to train the model]