metadata
base_model: stabilityai/stable-diffusion-xl-base-1.0
library_name: diffusers
license: openrail++
instance_prompt: a HTOK scene
widget:
- text: kids playing at park birds flying
output:
url: image_0.png
- text: kids playing at park birds flying
output:
url: image_1.png
- text: kids playing at park birds flying
output:
url: image_2.png
- text: kids playing at park birds flying
output:
url: image_3.png
tags:
- text-to-image
- text-to-image
- diffusers-training
- diffusers
- lora
- template:sd-lora
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
SDXL LoRA DreamBooth - 0selim/scene-sdxl-lora
- Prompt
- kids playing at park birds flying
- Prompt
- kids playing at park birds flying
- Prompt
- kids playing at park birds flying
- Prompt
- kids playing at park birds flying
Model description
These are 0selim/scene-sdxl-lora 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 HTOK scene 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]