SD3 DreamBooth - mtreinik/output-20241202_201614
Model description
These are mtreinik/output-20241202_201614 DreamBooth weights for stabilityai/stable-diffusion-3.5-medium.
The weights were trained using DreamBooth with the SD3 diffusers trainer.
Was the text encoder fine-tuned? False.
Trigger words
You should use photo of A@K man
to trigger the image generation.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('mtreinik/output-20241202_201614', torch_dtype=torch.float16).to('cuda')
image = pipeline('photo of A@K man in a restaurant').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]
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Base model
stabilityai/stable-diffusion-3.5-medium