metadata
base_model: hf-internal-testing/tiny-sd3-pipe
library_name: diffusers
license: other
instance_prompt: orange dog
widget: []
tags:
- text-to-image
- diffusers-training
- diffusers
- template:sd-lora
- sd3
- sd3-diffusers
SD3 DreamBooth - tonyshark/dog-example
Model description
These are tonyshark/dog-example DreamBooth weights for hf-internal-testing/tiny-sd3-pipe.
The weights were trained using DreamBooth with the SD3 diffusers trainer.
Was the text encoder fine-tuned? False.
Trigger words
You should use orange dog to trigger the image generation.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('tonyshark/dog-example', torch_dtype=torch.float16).to('cuda')
image = pipeline('orange dog').images[0]
License
Please adhere to the licensing terms as described [here](https://huggingface.co/stabilityai/stable-diffusion-3-medium/blob/main/LICENSE.md).
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]