SD3 DreamBooth - hjvision/models
Model description
These are hjvision/models DreamBooth weights for stabilityai/stable-diffusion-3-medium-diffusers.
The weights were trained using DreamBooth with the SD3 diffusers trainer.
Was the text encoder fine-tuned? False.
Trigger words
You should use niul, colorful object, engraved with NiUl
to trigger the image generation.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('hjvision/models', torch_dtype=torch.float16).to('cuda')
image = pipeline('niul, colorful object, engraved with NiUl').images[0]
License
Please adhere to the licensing terms as described [here](https://huggingface.co/stabilityai/stable-diffusion-3-medium/blob/main/LICENSE)
.
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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